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KLDiscovery offers a fantastic opportunity for you to use your talents to make a meaningful impact in a fast-paced, growing technology and services organization! &nbsp;KLDiscovery is a global leader in eDiscovery, compliance, and data management solutions, empowering law firms, corporations, and government agencies to tackle their most complex legal and regulatory challenges.We are actively seeking a candidate with strong expertise in Python software engineering, who demonstrates either prior experience or a keen interest in transitioning to the dynamic field of AI/Machine Learning.&nbsp;&nbsp;Work Status: Remote, work from home opportunity.&nbsp;Is This Role For You?&nbsp;The primary responsibilities of this position revolve around constructing AI development and production infrastructure, as well as implementing them effectively. Your specific tasks will include aiding in the construction of analytical tools, curating datasets, conducting experiments, precisely estimating impact, productizing solutions, and monitoring the performance of machine learning models.&nbsp;A Day in The Life<ul><li>Develop high-quality code for seamless integration of Data Science tools and processes into the company's products and services.</li><li>Offer expert analysis and valuable insights to the product development team, contributing to the enhancement of our product offering.</li><li>Foster close collaboration with engineering teams to optimize the implementation and monitoring of solutions.</li><li>Conduct research, provide recommendations, and implement best practices in data science and data engineering.</li></ul>&nbsp;Driving Career Growth, Benefit Excellence: The KLD AdvantageAt KLD we invest in employees and their families by placing their wellbeing first. We offer competitive total compensation that includes base pay, bonus potential, inclusive benefits, wellness programs, and perks. We use market and industry data to inform pay decisions while considering geography and labor markets, individual experience, and business needs. Individual compensation will vary, although a reasonable estimate of the current annualized base pay range for this position is £50,000 to £65,000.<ul><li>This position is 100% remote, and we offer a high-performance laptop computer, options for wireless headset or external speaker, up to two 24" 2K monitors, and a mobile phone for business use.</li><li>Life assurance</li><li>Private Medical Health Cover (currently with BUPA)</li><li>Group Income Protection</li><li>25 days annual leave</li><li>Contributory pension after completion of three months’ service and the option to join the Workplace Pension in line with statutory rules</li><li>Flexible Benefits including Season Ticket Loans and Ride 2 Work.</li><li>Buy and sell up to 5 days of Holiday per year</li><li>Roll over 5 days of Holiday per year</li><li>Competitive salary (including bonuses and/ or team incentives) and benefits package</li><li>Refer a friend, earn a bonus!</li><li>Career progression and training opportunities</li></ul>&nbsp;What You Will Bring To The Role<ul><li>3+ years developing production Python code with demonstrated proficiency in code review practices, unit testing (pytest, unittest), and maintaining codebases &gt;10K lines</li><li>Strong CI/CD pipeline experience using Git, Azure DevOps/GitHub, Docker</li><li>Hands-on experience building and maintaining ML pipelines including ETL processes, data versioning and model deployment</li><li>Experience with modern ML frameworks: PyTorch or TensorFlow for model development, scikit-learn for classical ML</li><li>Working knowledge of LLM deployment patterns including prompt engineering, RAG (Retrieval-Augmented Generation) architectures, and fine-tuning approaches</li><li>Proficiency with NLP libraries: Hugging Face Transformers, spaCy, or LangChain</li><li>Experience managing datasets &gt;1TB and implementing data quality validation frameworks</li><li>Cloud platform experience (Azure preferred) including compute, storage, and managed ML services</li><li>Familiarity with model quantization, optimization techniques (ONNX, TensorRT), and cost-efficient inference strategies</li><li>Experience leveraging AI Code Assistants/Agents like Claude Code</li></ul>&nbsp;Business Travel &amp; Flexibility Requirements<ul><li>This position requires the individual to be flexible to our client and team needs for out-of-hours work and weekend work where applicable.&nbsp;</li></ul>&nbsp;Highly Valued Skills<ul><li>Vector database implementation (Pinecone, pgvector) with experience scaling to millions of embeddings</li><li>Production experience with embedding models (OpenAI, Cohere, sentence-transformers) and semantic search systems</li><li>Modern Python practices: type hints, async/await, pydantic</li><li>Experience using AI coding assistants (GitHub Copilot, Cursor, Claude Code, or similar) to accelerate development workflows</li><li>SQL expertise (PostgreSQL) including query optimization and database design</li><li>Experience with model monitoring, A/B testing frameworks, and performance tracking in production</li><li>Agentic AI patterns and multi-step reasoning systems</li><li>C# for integration with existing .NET systems</li><li>eDiscovery, legal tech, or document processing domain knowledge</li></ul>&nbsp;Professional Capabilities<ul><li>Clear technical communication with both technical and non-technical stakeholders</li><li>Self-directed problem-solving with ability to scope and deliver projects independently</li><li>Collaborative approach to code review and knowledge sharing</li><li>Detail-oriented with strong testing discipline</li></ul>&nbsp;Education<ul><li>Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related STEM field (Master's preferred)</li><li>Equivalent professional experience considered</li></ul>&nbsp;Language<ul><li>English fluency (written and verbal)</li></ul>&nbsp;

AI Engineer

Under this framework, we are currently looking for enthusiastic&nbsp;Senior Data Engineers&nbsp;to become part of our dynamic Consulting team in our offices in&nbsp;Athens. In this role, you’ll work with cutting-edge technologies to help clients transform their technology platforms and business operations. Partnering with some of the world’s largest organizations, you’ll help COO’s, CFO’s, CIO’s and their teams realize their ambitions – from improving financial performance, to accelerating speed to market and delivering continuous innovation.Our diverse and passionate team is encouraged to use agile techniques in the development, delivery and on-going management of analytics services and solutions that solve complex business issues through descriptive analytics, advanced visualization, data warehousing, multi-dimensional modelling and business intelligence.#YourRoleYour role as a&nbsp;Senior&nbsp;Data Engineer&nbsp;will focus on leading the delivery of client engagements, by understanding objectives for clients and Deloitte,&nbsp;aligning yours and your team’s work&nbsp;to objectives and setting personal priorities, teaming with others across businesses and borders and taking accountability for own and team results&nbsp;to meet client expectations and project’s desired outcomes.In this role, you will build relationships and exercise your communication skills in order to positively influence your peers and other stakeholders. You will commit to personal learning and development by actively seeking opportunities for growth, you will share knowledge and experience with others, and act as a strong brand ambassador, embracing our purpose and values in order to put these into practice in your professional life.During your tenure as a&nbsp;Senior&nbsp;Data Engineer, you will demonstrate and develop your ability to:·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Participate in large-scale Data Modernization Programs&nbsp;working in international environments·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Lead the delivery of both Cloud and On-Premises Data Initiatives and serve as technical expert for Data Engineering Teams·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Design data-based solutions&nbsp;and data architectures&nbsp;that enable the client’s technology agenda, and communicate market trends and potential impacts effectively to the client·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Provide guidance on project delivery approach, defining success criteria, communication plans, resource plans, project plans, etc.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Design the architecture of the ETL/ELT jobs by utilizing and combining available components and tools·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Assist in the analysis, design, development and testing of Data &amp; Business Intelligence solutions, spanning from data quality sanity checks and data integration controls to data reconciliation across different environments.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Train and mentor colleagues and clients alike with best practices.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Support and participate in business development activities of the firm. #WinningRequirementsTo qualify for the role you must have:·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Bachelor’s Degree in Information Technology, Computer Science, Engineering, Mathematics or other related field.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Master’s Degree in Information Technology or Computer Science.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;At least&nbsp;3&nbsp;years&nbsp;of relevant work experience.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience in leading medium to large-scale teams.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;knowledge of&nbsp;Data Warehouse, Data Management, Data Architecture, Data Governance and Business Intelligence principles and techniques.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience in On-Premise technologies stacks such as&nbsp;IBM AS400 (DB2), MS SQL Server and Oracle.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience in Cloud technology data services such as Databricks, Azure Synapse Analytics, Azure Data Factory,&nbsp;Microsoft Fabric, AWS Glue and GCP BigQuery.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience in Data Visualization tools such as Power BI, Qlik and Tableau.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience in Orchestration solutions such as Control-M and Apache Airflow.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience in Data Science and AI / ML techniques and tools will be considered a plus.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong interpersonal and communications skills in Greek and in English.·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Military obligations fulfilled where applicable.&nbsp;#A&nbsp; #AboutConsulting Five core competency areas make up our Consulting service line:·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strategy, Analytics and M&amp;A·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Customer and Marketing·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Core Business Operations·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Human Capital·&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Enterprise Technology and Performance We exist to solve complex problemsOur consultants are renowned for their straightforward approach to solving some of the world’s largest and most complex business challenges. Each member of our Consulting team is energized by the challenge a seemingly inscrutable problem presents. Our distinctiveness lies in our refusal to accept a problem at face value - we draw on the depth of our shared insight to ask the right questions, and it’s these questions that uncover answers - answers with impact.We are committed to collaborationOur role is to unlock potential for growth and innovation. We believe this requires real collaboration – with our own networks and with our clients. It’s why we commit to truly getting under the skin of our client’s needs, developing a full appreciation for their environment, goals and ambitions. We’re also unafraid to challenge.&nbsp; In so doing, we build long-term and trusted affinities.We create long-term, sustainable impact &nbsp;We often work hand-in-hand with our clients to help find the right solution and to help apply that solution. Our aim is to leave behind ambassadors who are equipped to continue the transformation we began. For us, it’s about embedding sustainable change, allowing the impact of our insight to be felt for a long time to come.#AboutConsulting Our servicesDeloitte offers Global professional services that include Audit, Risk Advisory, Tax, Consulting and Financial Advisory. Our approach combines insight and innovation from multiple disciplines with global business and industry expertise to help our clients excel anywhere in the world.We deliver outstanding impact on the reputation and success of our clients, in Greece and globally. In pursuing this we contribute to a sustainable and prosperous society, and are firm believers in the positive impact business can and should have on the world it operates within.Our PurposeOur purpose, “To make an impact that matters for our clients, our people and society “- defines who we are and what we stand for. This is not about size, it's about being the first choice. The first choice for the largest and most influential clients, and the first choice for the best talent.Our valuesAt Deloitte we foster a collaborative culture where talented individuals can produce their best work. We value innovative thinking, diverse insights and a genuinely distinctive level of customer service through our expertise and professionalism.We value difference, with respect at the heart of our inclusive culture.Our talent experienceFrom day one at our firm, practitioners are part of a community. Our development and career progression framework will help them develop the skills and capabilities to succeed. The wellness of our people and the ability to offer agile working arrangements is at the centre of our unique talent experience. We create a workplace that encourages collaboration, creativity, inclusiveness to ensure our staff are supported, encouraged and feel a sense of purpose and meaning in what they do each day. Sounds like the sort of role for you? Apply now. This document has been prepared by Deloitte Business Solutions Societe Anonyme of Business Consultants, Deloitte Certified Public Accountants Societe Anonyme and Deloitte Alexander Competence Center Single Member Societe Anonyme of Business Consultants.Deloitte Business Solutions Societe Anonyme of Business Consultants, a Greek company, registered in Greece with registered number 000665201000 and its registered office at Marousi Attica, 3a Fragkokklisias &amp; Granikou str., 151 25, Deloitte Certified Public Accountants Societe Anonyme, a Greek company, registered in Greece with registered number 0001223601000 and its registered office at Marousi, Attica, 3a Fragkokklisias &amp; Granikou str., 151 25 and Deloitte Alexander Competence Center Single Member Societe Anonyme of Business Consultants, a Greek company, registered in Greece with registered number 144724504000 and its registered office at Thessaloniki, Municipality of Pylaia - Chortiatis of Thessaloniki, Vepe Technopolis Thessaloniki (5th and 3rd street), are one of the Deloitte Central Mediterranean S.r.l. ("DCM") countries. DCM, a company limited by guarantee registered in Italy with registered number 09599600963 and its registered office at Via Tortona no. 25, 20144, Milan, Italy is one of the Deloitte NSE LLP geographies. Deloitte NSE LLP is a UK limited liability partnership and member firm of Deloitte Touche Tohmatsu Limited, a UK private company limited by guarantee. Deloitte refers to one or more of Deloitte Touche Tohmatsu Limited ("DTTL"), its global network of member firms and their related entities&nbsp;(collectively,&nbsp;the "Deloitte&nbsp;organization"). DTTL (also referred to as "Deloitte Global") and each of its member firms and related entities are legally separate and independent entities, which cannot obligate or bind each other in respect of third parties. DTTL and each DTTL member firm and related entity is liable only for its own acts and omissions, and not those of any of each other. DTTL does not provide services to clients. Please see [1]&nbsp;www.deloitte.com/ about to learn more. DTTL, Deloitte NSE LLP and Deloitte Central Mediterranean S.r.l. do not provide services to clients. Please see [2]&nbsp;www.deloitte.com/about to learn more about our global network of member firms. Deloitte is a leading global provider of audit and assurance, consulting, financial advisory, risk advisory, tax and related services. Our global network of member firms and related entities in more than 150 countries and territories serves four out of five Fortune Global 500g; companies. Learn how Deloitte's approximately 312,000 people make an impact that matters at [3]&nbsp;www.deloitte.com. This document and its contents are prepared solely for your use, and may not be reproduced, redistributed or passed on to any other person in whole or in part, unless otherwise expressly agreed with you. No other party is entitled to rely on this document for any purpose whatsoever and we accept no liability to any other party, who is provided with or obtains access or relies to this document. (c) 2024 Deloitte Central&nbsp;Mediterranean.&nbsp;All rights reserved.

Senior Data Engineer

We are seeking a Data Governance Officer – Team Lead to promote a culture of accountability, stewardship, and continuous improvement in data usage across the organization. This role positions data as a strategic asset that supports informed decision-making and drives operational excellence.<h2>The main responsibilities of the position include:</h2><ul><li></li></ul><ul><li>Define strategic objectives, a clear roadmap, and KPIs for the department in line with corporate goals</li><li>Develop specific actions to achieve agreed targets and KPIs</li><li>Ensure all governance documentation—policies, principles, standards, and procedures—are current and relevant</li><li>Coordinate governance activities with Data Quality Engineers, IT Architecture teams, and other stakeholders across the organisation</li><li>Implement robust data processes and guidelines and ensure adherence</li><li>Act as the escalation point for data accuracy issues and drive effective resolutions</li><li>Maintain and manage business metadata definitions, business rules, and organisation-wide reference data</li><li>Support the implementation, rollout, and development of the Data Catalogue and manage change control for metadata</li><li>Promote and lead the adoption of consistent data definitions and best practices through training, communications, and workshops</li><li>Advise the Security Team to ensure data receives appropriate protection in line with classification</li><li>Report on data governance maturity and performance metrics</li><li>Set personal targets for team members, monitor performance, and provide constructive feedback</li><li>Coach and develop team members, sharing knowledge and fostering a culture of collaboration and growth</li><li>Motivate the team and encourage idea-sharing to improve individual and team performance</li></ul><h2>Main requirements:</h2><ul><li></li></ul><ul><li>BSc/MSc in Information Technology or equivalent</li><li>Minimum 5 years’ experience in data stewardship/management or a similar role</li><li>Possession of professional certifications such as CDS, CDMP, or DGSP</li><li>Hands-on experience with data catalogues, data warehouses, and/or MDM solutions</li><li>Excellent stakeholder engagement skills across all organisational levels</li><li>Strong communication, collaboration, and leadership abilities</li><li>Deep understanding of Data Governance concepts and GDPR compliance</li><li>Good knowledge of data quality processes and remediation activities</li><li>Ability to manage large datasets, identify errors, and implement solutions</li><li>Strong analytical skills with the ability to inspire and mobilise teams</li><li>Proven ability to coach, train, and develop team members</li><li>Occasional travel to support projects at different offices abroad</li></ul><h2>Benefit from:</h2><ul><li></li></ul><ul><li>Attractive remuneration package plus performance related reward</li><li>Intellectually stimulating work environment</li><li>Continuous personal development and international training opportunities</li></ul><h2></h2>

Data Governance Officer – Team Lead

As part of the Clinical Data Sciences (CDS) group, an integral delivery unit within the Clinical Development &amp; Operations (CD&amp;O) organization, the Database Analyst is responsible for the programming of high-quality clinical databases and supporting assigned segments of the Pfizer portfolio. Accountabilities include the design, development, and maintenance of clinical databases, ensuring the integrity of clinical data, application of standards supporting consistency in asset/submission data.ROLE RESPONSIBILITIES&nbsp;&nbsp;<ul><li>Works closely with department roles and cross-functional study team members to create data capture solutions that support the quality and timely delivery of data required per standard and study specific data review plans&nbsp;</li></ul><ul><li>Complies with applicable SOPs and work practices&nbsp;</li></ul><ul><li>Learns Pfizer database technologies&nbsp;</li></ul><ul><li>Develops knowledge of data capture tools and methods that support the accuracy and integrity of study data&nbsp;</li></ul>BASIC QUALIFICATIONS&nbsp;&nbsp;<ul><li>Bachelor's degree in a Life Science, Computer Science or equivalent&nbsp;</li></ul><ul><li>Minimum of 1 years of relevant experience in a pharmaceutical, biotech, CRO, or Regulatory Agency with an emphasis on building data collection and assimilation solutions&nbsp;</li></ul><ul><li>Experience in Oracle, PL/SQL, SAS, Java, relational database design and database programming skills&nbsp;</li></ul>&nbsp;PREFERRED QUALIFICATIONS&nbsp;<ul><li>Technical skills and experience using relational databases (e.g. Oracle InForm, Oracle DMW, MS SQL Server or MS Access)&nbsp;&nbsp;</li></ul><ul><li>Strong communication (written and oral), decision-making, influencing, negotiation, and project management skills&nbsp;</li></ul><ul><li>Proficiency in the use of Microsoft Office Suite of tools (Outlook, Word, Excel, etc.)&nbsp;</li></ul><ul><li>Understanding of drug development process and data operations required for the reporting of clinical trial data (e.g. data review, study reports, regulatory submissions, safety updates, etc.)&nbsp;</li></ul><ul><li>Understanding of regulatory requirements and relevant data standards; CDISC knowledge and experience are preferable</li></ul>

Associate Database Analyst, Clinical Database Management 4956612

As part of Artificial Intelligence practice, you will combine AI &amp; ML with data, analytics and automation under a bold strategic vision to transform business in a very pragmatic way, sparking digital metamorphoses. There will never be a typical day and you will continuously learn and grow. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a global team of data scientists, data engineers, and experts in AI &amp; ML, who are highly collaborative taking on today’s biggest, most complex business challenges across a range of industries. Responsibilities:<ul><li>Understand and shape client requirements; translate them into actions that will be used to drive Data Science components, design and configuration (data model, advanced analytics, consumption/visualization)</li><li>Accountable for the design, development and delivery of Data Science &amp; ML solutions, working with data science, engineering and operations teams</li><li>Lead a team of 5-8 people, working in a multicultural environment with fixed deadlines and changing priorities</li><li>Contribute to internal R&amp;D and business development activities through AI &amp; ML expertise</li><li>Provide thought leadership, best practices, and standards on advanced analytics &amp; ML techniques</li><li>Drive understanding and decision making from data through the intersection of business, analytics, and design.</li><li>Act as Project Lead in client Scrums and lead the delivery of Data Science projects in Marketing, Customer &amp; Sales Analytics.</li><li>Present and create appropriate documentation to communicate with and educate stakeholders.</li><li>Influence &amp; inspire the team with the technical expertise on Data Science &amp; Cloud solutions and the soft skills required for stakeholder management, setting the correct expectations</li><li>Create project plans, including resourcing &amp; expenses. Ability to turn quickly the brilliant ideas into plan with clear actions and expectations</li></ul>QualificationWHO WE’RE LOOKING FOR?<ul><li>BSc and MSc or PhD in Computer Science, Statistics, Mathematics, Engineering, Physics or related science field from a well-established University</li><li>Minimum of 7+ years of proven working experience in Data Science &amp; ML areas, leading a team of 5-8 people</li><li>Solid theoretical and hands-on knowledge of Econometrics, Statistics, Data Mining, Machine Learning &amp; AI concepts</li><li>Exceptional programming skills in Data Science scripting: Python / R / Scala / Julia); knowledge of&nbsp;Java and/or C/C++ would be considered a plus</li><li>Experience with Cloud Technologies (MS Azure, GCP, AWS)</li><li>Understanding of ML lifecycle and hands-on experience with ML Ops</li><li>Working under an Agile Framework with CICD principles</li><li>Exceptional analytical and critical thinking skills with&nbsp;demonstrated ability to think strategically; turn data into effective strategies and drive results</li><li>Ability to communicate results effectively and explain technical methodologies in non-technical audience</li><li>Ability to work as a team player in multinational project teams</li><li>Fluency in English (verbal and written)</li><li>All male candidates should have fulfilled their military obligations</li><li>Considered a plus (not a prerequisite):</li><li>Familiarity with Deep Learning concepts &amp; tools (H2O, TensorFlow, PyTorch, Keras, Theano, etc.)</li><li>Experience in SQL and interpretation of large databases (via tools such as Hive, Spark, NiFi, HBASE, HDFS, Kafka, Kudu would be an asset)</li><li>Visualization tools (Power BI, Tableau)</li><li>Experience in international markets and familiarity with FMCG, Retail or Energy/ Recourses/ Utilities etc. industries</li></ul>WHAT´S IN IT FOR YOU?<ul><li>Competitive salary and benefits, including but not limited to: life/health insurance, performance based bonuses, monthly vouchers, company car (depending on management level), flexible work arrangements, employee share purchase plan, TEA Accenture, parental leave, paid overtime (if needed) and various corporate discounts</li><li>Continuous hard and soft skills training &amp; development through global platforms &amp; local academy</li><li>Career coaching and mentorship to help you manage your career and develop professionally</li><li>Ongoing strengths and skills based evaluation process</li><li>Various opportunities to develop your career across a spectrum of clients, industries and projects</li><li>Diverse and inclusive culture</li><li>Corporate citizenship initiatives (access to volunteering opportunities, charity work ec.)</li><li>Under our Brain Regain initiative, extra relocation benefits may apply</li></ul>

Data Science Manager (Athens)

WINGS ICT Solutions is looking for a Senior SSIS Data Engineer to join our growing team. Talent will be part of a dynamic team of professionals ranging from Project managers and Software architects to software developers and testers and will be using cuttingedge technologies and methodologies to efficiently and effectively deliver the software.Key responsibilities:<ul><li>&nbsp;Design, develop, and maintain robust ETL processes using SSIS to support data integration and migration projects</li><li>Develop and optimize complex SQL queries, stored procedures, and scripts in MS SQL Server to ensure high performance and data accuracy</li><li>Collaborate with cross-functional teams to analyze data requirements and translate business needs into technical solutions</li><li>Implement and manage SSIS packages, including deployment, scheduling, and monitoring of ETL workflows</li><li>Ensure data quality, integrity, and consistency across multiple systems, particularly within banking-related data environments</li><li>Support data modeling activities and contribute to the design of scalable data architectures</li></ul>Requirements:Educational requirements:<ul><li>BSc in Computer Science, Information Technology, or another relevant field.</li></ul>Desired experience and skills:<ul><li>At least 4 years of experience in data migration projects and SSIS implementations</li><li>Working experience in MS SQL Server/ Oracle</li><li>Ability to design complex SQL queries in MSSQL</li><li>Working experience in design and development of SSIS packages</li><li>Experience with C# in the context of SSIS</li><li>ETL experienceUnderstanding of software applications’ fundamental principles, communication methods, and their impact on users’ experience</li><li>Familiarity with Agile/Waterfall methodologies</li></ul>Other Qualifications:<ul><li>Excellent verbal and written communication skills in English</li><li>Native or fluent Greek, oral and written</li><li>Initiative, strong sense of accountability and ownership of actions</li><li>Effective time management &amp; prioritization</li><li>Analytical mindset and attention to detail</li><li>Agility, enthusiasm, and self-motivation</li></ul>Benefits<ul><li>Highly competitive salary, reviewed upwards on a regular basis, based on performance</li><li>Remuneration based on your experience and skills</li><li>Participation in state-of-the-art and large-scale projects</li><li>Personal and professional development, amongst industry experts</li><li>Continuous learning</li><li>Dynamic team with fresh ideas</li></ul>

SSIS Data Engineer

As part of Data &amp; AI practice, you will combine AI &amp; ML with data, analytics and automation under a bold strategic vision to transform business in a very pragmatic way, sparking digital metamorphoses. There will never be a typical day and you will continuously learn and grow. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape.Responsibilities:<ul><li>Understand client requirements and business problems with uncertainty, translate them into actions that will be used to drive Data Science components, design and configuration (data model, advanced analytics, consumption/ visualization)</li><li>Support the development and delivery of Data Science &amp; ML solutions, working closely with data science, engineering and operations teams (from data acquisition/manipulation and exploratory analysis, to DS/ML models and interpretation of results)</li><li>Lead a team of 2-4 people, working in a multicultural environment&nbsp;with fixed deadlines and changing priorities</li><li>Provide guidelines on best practices to development teams and ensure high-quality of deliverables</li><li>Communicate solutions &amp; results to senior management and client stakeholders</li><li>Contribute to internal R&amp;D and business development activities through AI &amp; ML expertise</li><li>You will be part of a global team of data scientists, data engineers, and experts in AI &amp; ML, who are highly collaborative taking on today’s biggest, most complex business challenges across a range of industries.</li></ul>QualificationWHO WE´RE LOOKING FOR?WHO WE’RE LOOKING FOR?<ul><li>BSc and MSc or PhD in Computer Science, Statistics, Mathematics, Engineering, Physics or related science field from a well-established University</li><li>At least 4 years of proven working experience in Data Science &amp; ML areas to solve business problems</li><li>Knowledge of Data Science and Machine Learning concepts and algorithms such as Clustering, Regression, Classification, Forecasting, Hyperparameters optimization, NLP, Computer Vision, Speech processing, IoT data modeling, Geospatial data analysis</li></ul>Considered a plus (not a prerequisite):<ul><li>Proficiency in programming languages &amp; Data Science scripting: R / Scala / Julia</li><li>Familiarity with Deep Learning concepts &amp; tools (H2O, TensorFlow, PyTorch, Keras, Theano, etc.)</li><li>Experience in analytical manipulation and interpretation of large databases (via tools such as Hive, Spark, NiFi, HBASE, HDFS, Kafka, Kudu would be an asset)</li><li>Visualization tools (Power BI, Tableau)</li><li>Proficiency in Python programming language &amp; Data Science scripting</li><li>Exceptional analytical and critical thinking skills</li><li>Proven experiencein at least one cloud based analytics platform (eg. Databricks, BigQuery, Snowflake, Synapse, Amazon Redshift)</li><li>Experience with Cloud Technologies (MS Azure, GCP, AWS)</li><li>Understanding of ML lifecycle and hands-on experience with ML Ops</li><li>Working under an Agile Framework with CI/CD principles</li><li>Ability to work as a team player in a multinational project team</li><li>Ability to collaborate with individuals from varying backgrounds and skill-sets (ie Product Managers, Project Managers, Operations, Engineers, etc)</li><li>Ability to travel and gain exposure in multinational companies across a range of industries</li><li>Fluency in Greek and English (verbal and written)</li><li>us.</li></ul>WHAT´S IN IT FOR YOU?<ul><li>Competitive salary and benefits, including but not limited to: life/health insurance, performance based bonuses, monthly vouchers, company car (depending on management level), flexible work arrangements, employee share purchase plan, TEA Accenture, parental leave, paid overtime (if needed) and various corporate discounts</li><li>Continuous hard and soft skills training &amp; development through global platforms &amp; local academy</li><li>Career coaching and mentorship to help you manage your career and develop professionally</li><li>Ongoing strengths and skills based evaluation process</li><li>Various opportunities to develop your career across a spectrum of clients, industries and projects</li><li>Diverse and inclusive culture</li><li>Corporate citizenship initiatives (access to volunteering opportunities, charity work ec.)</li><li>Under our Brain Regain initiative, extra relocation benefits may apply</li></ul>

Senior Data Scientist

As a Platform Technical Lead – Data, MLOps &amp; Virtualization, you will play a key role in ensuring the operational resilience, engineering coherence, and production readiness of critical enterprise platforms across database services, machine learning operations, and virtualization infrastructure.You will lead modernization and transition initiatives across multiple technology towers, balancing operational stability with platform evolution. Acting as a senior technical authority, you will coordinate engineering activities, recovery readiness, infrastructure transitions, and service improvements while ensuring dependencies across platforms are proactively managed.Your role:<ul><li>Lead the operational and engineering roadmap across database platforms, MLOps environments, and virtualization infrastructure.</li><li>Drive the transition from legacy database technologies toward modern platforms such as PostgreSQL, MongoDB, and emerging cloud-native data services while ensuring production stability and service continuity.</li><li>Own the operational readiness and reliability of MLOps platforms, including deployment governance, observability, platform resilience, and coordination with Kubernetes and cloud engineering teams.</li><li>Lead virtualization and infrastructure modernization initiatives, including Hyper-V adoption, VMware transition activities, HPE hardware lifecycle management, and backup/disaster recovery governance.</li><li>Act as the escalation point for critical incidents, complex migrations, disaster recovery testing, service restoration, and major engineering activities across the supported technology towers.</li><li>Ensure platform dependencies across infrastructure, databases, and ML operations are managed proactively and aligned with operational and engineering objectives.</li><li>Coordinate with vendors, infrastructure teams, cloud engineers, and operational stakeholders to ensure platform performance, recoverability, and long-term sustainability.</li><li>Drive continuous improvement initiatives focused on automation, resilience, monitoring, scalability, and operational excellence.</li><li>Contribute to technology transition planning, capacity management, modernization roadmaps, and service improvement strategies.</li><li>Maintain and promote engineering standards, operational governance, and production readiness practices across all managed platforms.</li></ul>Your profile:<ul><li>Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience).</li><li>8-10 years of experience in enterprise database operations, administration, and migration programs within complex production environments.</li><li>Strong technical expertise across relational and modern data platforms, including technologies such as DB2, PostgreSQL, MongoDB, and cloud-native database ecosystems.</li><li>Hands-on understanding of MLOps and machine learning platform operations, including Kubernetes-based environments and technologies such as Kubeflow, Pachyderm, Ray, Python, and GPU-enabled platforms.</li><li>Strong experience with enterprise virtualization and infrastructure engineering technologies, including Hyper-V, VMware, SCVMM, Azure Arc, HPE Synergy, OneView, and backup/recovery tooling.</li><li>Proven ability to lead complex technology transitions, modernization initiatives, and operational transformation programs.</li><li>Strong understanding of disaster recovery, backup strategies, operational resilience, recoverability testing, and service continuity practices.</li><li>Experience coordinating vendors, infrastructure teams, cloud/platform engineers, and operational stakeholders in enterprise environments.</li><li>Strong analytical, troubleshooting, stakeholder management, and communication skills.</li><li>Ability to balance operational reliability with modernization and platform evolution objectives.</li><li>Fluent in English (written and spoken).</li></ul>

Platform Technical Lead – Data, MLOps & Virtualization

we are looking for a motivated and self-driving AI Consultant&nbsp; to join a high-impact team delivering AI-powered insights and solutions to public service clients. You’ll support end-to-end AI delivery – from data exploration to data analysis, hypothesis testing, and dashboarding – and contribute directly to translating business needs into tangible data analysis outputs. Ideal for hands-on analysts with strong visualization and AI-enablement skills.Key responsibilities include:<ul><li>Support senior consultants in shaping and delivering AI-driven transformation strategies for public service clients across Europe.</li><li>Contribute to policy and strategy alignment, helping ensure that AI and data solutions address broader public sector priorities and citizen needs.</li><li>Assist in stakeholder engagement and management, including preparation for client workshops, documentation, and progress reporting.</li><li>Translate client challenges into structured problem statements and support the design of AI-enabled consulting interventions (not just technical models).</li><li>Work with data exploration, preparation, and visualization to generate insights that inform strategic and operational decisions.</li><li>Contribute to model assessment, dashboard creation, and performance tracking, while keeping focus on the business implications.</li><li>Actively participate in knowledge sharing, internal capability building, and cross-border collaboration with Accenture teams.</li><li>Develop skills on cloud platforms (Azure, AWS, GCP) and modern AI tools, while building consulting capabilities in public sector transformation and enterprise change.</li></ul>Preferred Experience:<ul><li>Foundational knowledge of cloud and AI concepts, with exposure to at least one major platform (e.g., Azure, AWS, or Google Cloud).</li><li>Interest in project management methodologies like Scrum, Lean Six Sigma, or Agile; any coursework or certifications (e.g., CAPM, PRINCE2 Foundation) are a plus.</li><li>Familiarity with platforms such as Databricks, IBM Watson Studio, or other AI/ML tools through academic projects or internships.</li><li>Awareness of AI governance concepts or participation in university-led AI ethics discussions or readiness assessments.</li><li>Understanding of EU and public sector regulatory and policy environments, with the ability to connect compliance requirements to transformation initiatives.</li></ul>QualificationWHO WE´RE LOOKING FOR?<ul><li>Bachelor’s degree in a relevant field such as Computer Science, Data Science, AI/ML, Engineering, Business, Economics, Public Administration, Political Science, or related disciplines.</li><li>Master’s degree or certifications in Business or AI/ML is preferred</li><li>4–7 years of relevant experience in AI/ML solution development, GenAI use case delivery, product management, or AI architecture</li><li>Experience with European Union Institutions, Bodies and Agencies and / or national authorities</li><li>Excellent proficiency in written and verbal communication in English</li><li>Basic proficiency in Python or R, with exposure to ML libraries such as scikit-learn, TensorFlow, or Hugging Face through academic projects or internships.</li><li>Familiarity with GenAI concepts, prompt engineering, or LLMs is a plus.</li><li>Understanding of AI lifecycle stages and deployment pipelines from coursework or hands-on learning.</li><li>Exposure to cloud environments (Azure, AWS, GCP) via labs, certifications, or university projects.</li><li>Ability to manage delivery workstreams and align multi-stakeholder groups</li></ul>WHAT´S IN IT FOR YOU?<ul><li>Competitive benefits, including a fair and balanced parental leave policy.</li><li>At Accenture, we believe in bringing the best to our clients through continuous learning &amp; improvement – from basic skills to industry-specific content – available to all our people.</li><li>&nbsp;Career coaching and mentorship to help you manage your career and develop professionally.</li><li>&nbsp;Performance Achievement – our performance management process that focuses on your strengths, progress, and career possibilities.</li><li>&nbsp;Fantastic opportunities to develop your career across a variety of clients.</li><li>Opportunities to get involved in corporate citizenship initiatives, from volunteering to doing charity work.</li></ul>

EU Public Sector Consultant (AI & Data)

As a&nbsp;Senior Front-end Developer&nbsp;you will be responsible for designing and implementing highly-performant, customized and responsive applications that meet business process and application requirements. The developed and innovative applications will be integrated with back-end services like Data Science, AI or IoT. Your day to day tasks will include participating in the daily scrums, shaping and coding the front-end components of the user stories, unit testing the code and committing it into the repository. As a member of our Centre of Excellence you will work as part of highly skilled teams for local and global clients helping them to achieve their ambitious goals&nbsp;Key Responsibilities:<ul><li>Responsible for designing, building and maintaining responsive front-end web and mobile applications</li><li>Leverage CSS and JavaScript frameworks (Bootstrap, AngularJS, React or Vue) to create dynamic, on-brand and interactive user experiences</li><li>Experience with data visualization and user interfacing features, using JavaScript (such as D3 and/or React.JS)</li><li>Experience with responsive design and grid frameworks for cross-browser compatibility such as Bootstrap or Foundation</li><li>Knowledge of automated code testing, such as unit testing and working with frameworks</li><li>Experience with Git Version Control Software</li><li>Familiar with modern architectures experience (SPAs, serverless, microservices...)</li><li>Basic understanding of UI/UX design concepts and responsive web/mobile design</li><li>Translating designs and wireframes into high quality code material</li><li>Strong critical thinking, analytical and problem-solving skills</li><li>Knowledge of current technology trends, especially in areas like Data Science, AI, IoT</li><li>Demonstrated ability to be a team player</li></ul>QualificationWHO WE´RE LOOKING FOR?&nbsp;<ul><li>A bachelor's degree in Computer Science or related field is essential.</li><li>3+ hands on experience with latest JavaScript (ES) standards and JS technologies, libraries and frameworks, such as ReactJS, Angular, Node.js, Express</li><li>Proficiency in React.js and/or Angular</li><li>Strong understanding of modern HTML, CSS, and responsive design principles</li><li>Experience with component-based architecture and frontend state management (e.g., Redux, NgRx)</li><li>Familiarity with REST/GraphQL API integration and asynchronous data handling</li><li>Knowledge of web performance optimization and best practices for accessibility (WCAG)</li><li>Experience with version control (Git) and modern development workflows (CI/CD, code reviews)</li><li>Exposure to testing frameworks (Jest, Cypress, Jasmine, Karma) for ensuring code quality</li><li>Ability to collaborate with cross-functional teams (designers, back-end engineers, product managers)</li></ul>WHAT´S IN IT FOR YOU?<ul><li>Competitive salary and benefits, including but not limited to: life/health insurance, performance based bonuses, monthly vouchers, company car (depending on management level), flexible work arrangements, employee share purchase plan, TEA Accenture, parental leave, paid overtime (if needed) and various corporate discounts</li><li>Continuous hard and soft skills training &amp; development through global platforms &amp; local academy</li><li>Career coaching and mentorship to help you manage your career and develop professionally</li><li>Ongoing strengths and skills based evaluation process</li><li>Various opportunities to develop your career across a spectrum of clients, industries and projects</li><li>Diverse and inclusive culture</li><li>Corporate citizenship initiatives (access to volunteering opportunities, charity work etc.)</li><li>Under our Brain Regain initiative, extra relocation benefits may apply</li></ul>

Senior React Developer for Data & AI Solutions

As a Card Business Data &amp; Planning Sr. Specialist, you will use advanced data analysis, reporting, and governance practices to generate actionable insights, ensure compliance, and enhance operational efficiency. You’ll directly support executive decision‑making and drive key strategic initiatives within the card acquiring sector.&nbsp;What your day to day will include:<ul><li>Managing timely, accurate and comprehensive regulatory reporting to the Central Bank, including Blue‑Book submissions, while ensuring full compliance with financial regulations</li><li>Preparing and presenting compelling data insights and strategic recommendations to upper Management, influencing key business decisions through effective data storytelling and analytical rigor</li><li>Analyzing complex business challenges and discrepancies across various services—particularly within acquiring processes—and identifying effective resolutions</li><li>Staying up to date with industry trends and best practices in business and data analysis, proposing relevant initiatives</li><li>Responding to ad‑hoc assignments related to the role’s scope, addressing business needs requiring flexibility, problem‑solving, and cross-functional collaboration</li><li>Identifying and resolving data discrepancies, supporting forecasting updates and budget performance tracking, and preparing business presentations and management reports</li><li>Collaborating with Operations, Finance, Commercial, and Data teams on data validation and insight generation</li></ul>&nbsp;What you’ ll bring:<ul><li>BSc in Business, Data Science, Economics, or related quantitative field</li><li>MSc or relevant certifications (e.g., Data Analytics, BI, Power BI, SQL, Python) considered a plus</li><li>Proven experience in data analysis, business intelligence, and regulatory reporting, ideally within financial services or other highly regulated environments</li><li>Strong proficiency in Power BI (dashboard design, DAX, data modeling) and familiarity with SQL querying; basic exposure to data governance platforms</li><li>Excellent analytical, conceptual, and business-thinking skills, with the ability to translate complex data into clear insights</li><li>Strong verbal and written communication abilities, capable of presenting technical findings to diverse audiences</li><li>Excellent command of MS Office (particularly Excel &amp; PowerPoint) and fluency in Greek and English</li></ul>&nbsp;What’s in it for you?<ul><li>An award-winning working environment 🚀</li><li>Competitive salary package and bonus scheme 💸</li><li>Health insurance coverage &amp; Pension Plan 🙏</li><li>State of the art facilities including gym &amp; restaurant 🏢</li><li>Hybrid working model 💻</li><li>Continuous learning with classroom/digital trainings by Allwyn Academy 🎓</li><li>Internal Career Opportunities 💼</li><li>Volunteering opportunities, including 2 extra days off to give back🌱</li><li>Well-Being activities 💪</li><li>Monthly food allowance 🍴</li><li>Exclusive employee discounts across a range of partners 🛍️</li></ul>

Business Planning Sr. Analyst (3927)

Intellectica is recruiting a Senior AI &amp; Data Engineer on behalf of a leading technology services group headquartered in Athens, Greece, operating under a hybrid working model. The selected candidate will join a high-performing Data &amp; AI team and will play a pivotal role in designing, developing, and deploying cutting-edge AI solutions, contributing to transformative initiatives that enhance business performance, unlock new value streams, and drive innovation across diverse industries.Key activities and responsibilities of this role include:&nbsp;<ul><li>Leading the end-to-end design and delivery of scalable data and machine learning solutions, aligning technical architecture with business objectives and strategic priorities</li><li>Collaborating globally with data engineers, architects, and business stakeholders to define robust data architecture and modeling requirements</li><li>Developing and optimizing ETL processes to integrate data from multiple sources, ensuring high data quality and reliability</li><li>Adhering to software engineering best practices to deliver maintainable, scalable, and resilient data solutions</li><li>Researching, designing, building, implementing, maintaining, and continuously improving Machine Learning systems</li><li>Communicating complex technical solutions clearly to senior management and diverse stakeholders</li><li>Mentoring junior team members, providing guidance to ensure high-quality deliverables</li><li>Contributing to sales activities through expertise in data and platform architecture</li><li>Staying current with industry trends and contributing to internal initiatives, R&amp;D, and business development projects</li><li>Any other task that may be required from time to time</li></ul>&nbsp;Professional experience &amp; qualifications of a successful candidate:<ul><li>Bachelor’s degree in Computer Science, Engineering, or a related field; a Master’s degree or PhD will be considered an asset</li><li>Minimum of 3 years in data engineering, with a strong emphasis on cloud environments - AWS, GCP, Azure, or Cloud Native platforms</li><li>Proven expertise in designing and managing scalable, end-to-end data pipelines (ADF, Airflow, dbt), across batch, micro-batch, and streaming architectures (e.g., Kafka, Databricks Structured Streaming, StreamSets)</li><li>Strong experience with Big Data platforms (Hadoop, Databricks, Hive, Kafka, Apache Iceberg, Microsoft Fabric), Data Warehouses (Teradata, Snowflake, BigQuery), and Lakehouse architectures (Delta Lake, Apache Hudi), along with solid knowledge of data governance, quality, security, and metadata management (e.g., Unity Catalog, Apache Atlas, Informatica)</li><li>Proficiency in SQL, Python, and PySpark, writing scalable and maintainable code using object-oriented principles, with practical experience in REST API integration and Linux-based environments</li><li>Experience implementing DevOps and MLOps practices, including Git workflows, CI/CD pipelines (Azure DevOps, Jenkins, GitHub Actions), containerization and orchestration (Docker, Kubernetes), MLflow, and service mesh/API gateway architectures (e.g., Istio)</li><li>Familiarity with Agile and Waterfall delivery methodologies</li><li>Industry certifications (AWS, Azure, GCP, CNCF/Kubernetes, Databricks) are considered an asset; demonstrable hands-on expertise is equally valued</li><li>Fluency in Greek with professional-level English communication skills</li></ul>&nbsp;&nbsp;Core competencies of a successful candidate:<ul><li>Strong creative problem-solving skills, with a focus on addressing real-world business challenges</li><li>Comfortable working within a global, highly collaborative team environment</li><li>Demonstrated leadership skills, setting clear priorities and driving effective execution</li><li>Proactive, dependable, and results-driven professional mindset</li><li>Willingness and flexibility to travel occasionally as required</li></ul>&nbsp;

Senior AI & Data Engineer

Scorpios is looking for a Data Analyst who will have the accountability of performing analytical procedures in all Revenue streams and Cost centers. The successful applicant will hold a strategic role within Scorpios overseeing daily operations, safeguarding assets and enhancing internal controls.Opportunities For All&nbsp;Scorpios was created to bring diverse communities of people together, and we take the same approach when building our teams. We thrive on differences and believe it is critical to our success as a global company. Scorpios is proud to be an equal opportunity workplace that seeks to recruit, develop and retain the most talented people from a variety of backgrounds, perspectives, and skills. We therefore encourage applications from all genders, races, religions, ages and sexual orientations, as well as parents, veterans, people living with disabilities, and any other groups that could bring diverse perspectives to our business.&nbsp;Responsibilities&nbsp;<ul><li>Extract data from primary and secondary sources</li><li>Remove corrupted data and fix errors and related problems</li><li>Develop and maintain databases and data systems in general</li><li>Reorganize data in readable and presentable format</li><li>Perform analysis to assess quality and meaningful data</li><li>Filter data by reviewing reports and KPIs</li><li>Use statistical tools to identify, analyze and interpret patterns and trends</li><li>Assign numerical values to essential business functions so that business performance can be assessed and compared over periods of time</li><li>Analyze local, national, and global trends that may impact both the organization and the industry</li><li>Prepare reports for the management, states trends, patterns and predictions using relevant data</li><li>Work closely with programmers, engineers, and management heads and identify process improvements, opportunities, propose system modifications and advise data governance strategies</li><li>Prepare final analysis reports for the stakeholders</li><li>Ad hoc analysis on subject matters</li><li>General support of strategic decision making</li></ul>&nbsp;&nbsp;Requirements&nbsp;<ul><li>Working experience in an analytical role for 1 to 3 years in either business analysis or financial analysis or relevant role</li><li>Bachelor in an analytical field</li><li>Post Graduate studies in an analytical or IT field are a considerable asset</li><li>Proficient Knowledge in Structure Query Language (SQL)</li><li>Good knowledge of R or Python statistical programming</li><li>Proficient knowledge of Microsoft Excel</li><li>Good knowledge of Data Visualization tools</li><li>Very good presentation skills</li><li>Very good knowledge of English language.</li><li>European Union Nationality with available working permission</li></ul>&nbsp;Benefits:&nbsp;Scorpios offers a competitive salary with career development opportunities, based on the candidate's qualifications and skills. By joining our team, you will have the opportunity to work in a stimulating and motivating environment which values diversity and is committed towards its employees.Scorpios offers a permanent working contract.

Data Analyst

As a&nbsp;Data &amp; AI Senior Consultant you will work closely with our clients, leading and coaching a cross-functional team responsible for the delivery of strategic solutions to empower their Data &amp; AI identity and AI/GenAI ventures. You will drive the design of strategy and guide team members in the end-to-end delivery of such projects.Our Services Include:<ul><li>AI Strategy Development:&nbsp;Tailored roadmaps to integrate AI into your business model.</li><li>Generative AI Solutions:&nbsp;Leverage AI to create content, automate processes, and enhance customer experiences.</li><li>Data Analytics &amp; Insights:&nbsp;Turn data into actionable insights for informed decision-making.</li><li>Value Realization Framework:&nbsp;Identify, measure, and achieve the tangible benefits of AI initiatives, ensuring that investments translate into real-world value.</li></ul>Leading Responsibilities: •&nbsp;&nbsp; &nbsp;Working with industry and business specialists to develop comprehensive Data &amp; AI strategies, including AI assessments, strategy shaping, GenAI solution design, insights generation and more. •&nbsp;&nbsp; &nbsp;Create innovative and differentiated offerings, staying relevant and in sync with market demand and technology evolution. •&nbsp;&nbsp; &nbsp;Deliver consulting services and strategies for Data &amp; AI enabled business change, e.g.: operating models, value realization strategy etc. •&nbsp;&nbsp; &nbsp;Interviewing client staff to understand key issues with how they operate today and identify opportunities for improvement in their operations and AI landscape. •&nbsp;&nbsp; &nbsp;Leveraging Accenture’s international assets and expertise to bring new ideas to clients. •&nbsp;&nbsp; &nbsp;Supporting the development of business cases and implementation roadmaps to support investment decisions. •&nbsp;&nbsp; &nbsp;Working in multi-disciplinary teams to shape, propose, communicate, and implement programs.QualificationWHO WE´RE LOOKING FOR?Consultants<ul><li>Bachelor’s degree in computer science, information systems, or equivalent field.</li><li>3-5 year cross-industry experience in consulting firms or big and international companies.</li><li>Ability and willingness to travel in Greece and internationally.</li><li>Strong understanding of emerging technology trends (Data, AI, GenAI) and impact on both overall enterprise strategy and operating model.</li><li>Experience in developing associated business cases and plans which are detailed, actionable and aligned with industry best practices.</li><li>Good business acumen to find the best way to support key strategic pillar with technology.</li><li>Strong verbal and written communication skills in Greek and English.</li><li>Knowledge of and passion for technology and digital trends.</li><li>Ambition and desire to shine in the newest strategic consultancy environment.</li><li>Demonstrable experience of managing teams of 3-5 people driving strategy work.</li></ul>WHAT´S IN IT FOR YOU? •&nbsp;&nbsp; &nbsp;Competitive benefits, including a fair and balanced parental leave policy. •&nbsp;&nbsp; &nbsp;At Accenture, we believe in bringing the best to our clients through continuous learning &amp; improvement – from basic skills to industry-specific content – available to all our people. •&nbsp;&nbsp; &nbsp;Career coaching and mentorship to help you manage your career and develop professionally. •&nbsp;&nbsp; &nbsp;Performance Achievement – our performance management process that focuses on your strengths, progress, and career possibilities. •&nbsp;&nbsp; &nbsp;Fantastic opportunities to develop your career across a variety of clients. •&nbsp;&nbsp; &nbsp;Opportunities to get involved in corporate citizenship initiatives, from volunteering to doing charity work.

Data & AI - Strategy & Consulting Senior Consultant

Intellectica is recruiting a Data &amp; AI Insights Analyst on behalf of a leading pharmaceutical organization with a strong international footprint and a long-standing track record in innovation, research, and development. Based in Athens, Greece, the successful candidate will report directly to the Business Development &amp; Portfolio Manager and will play a key role in enabling data‑driven decision-making, developing predictive analytics, and supporting the gradual transition of AI capabilities from external partners to an in‑house model.&nbsp;Key activities and responsibilities of this role include:&nbsp;<ul><li>Play a key role in driving data- and AI-powered decision-making within a growing, internationally active business environment</li><li>Act as a consultative partner on AI-related initiatives, proactively identifying opportunities, proposing use cases, and contributing ideas for the adoption and optimization of AI solutions across the department</li><li>Partner with stakeholders to analyze business cases and translate data into clear, actionable insights</li><li>Conduct market and geographical analyses using statistical and external datasets, identifying trends, competitive dynamics, and growth opportunities</li><li>Support strategic decisions on market expansion, investment priorities, and portfolio development through data-driven recommendations</li><li>Perform historical and exploratory analyses to assess market potential and business viability</li><li>Leverage and evaluate AI tools to enhance analytics capabilities and business outcomes</li><li>Develop and support predictive models and forecasting approaches, exploring solutions for complex business prediction challenges</li><li>Structure and optimize data for analytics, supporting the transition to in-house AI capabilities and the development of internal AI-driven applications and solutions</li><li>Prepare and deliver clear, insightful presentations of data and analytical findings to senior management, supporting strategic decision-making; translate complex analytical outputs into business-friendly narratives tailored to non-technical stakeholders</li><li>Any other task that may be required from time to time</li></ul>&nbsp;Professional experience &amp; qualifications of a successful candidate:&nbsp;<ul><li>University degree in Computer Science, Mathematics, Statistics, Information Technology, Engineering or related field; a Master’s degree in a relevant field (e.g. AI, Data Science, Analytics, Economics, Statistics)</li><li>Up to 5 years of experience in Data Analytics, Data Science, or Business/Commercial Analytics, with proven exposure to data-driven decision-making</li><li>Experience in the pharmaceutical or healthcare industry will be considered a strong plus</li><li>Proficiency in Excel; solid understanding of statistical analysis and data analytics methodologies</li><li>Experience working with large and complex datasets, as well as data visualization tools will be considered an asset</li><li>Strong familiarity with modern AI tools and a genuine interest in exploring and applying emerging AI technologies in practice</li><li>Basic understanding of business strategy, market dynamics, and financial concepts will be considered an advantage</li><li>Familiarity with predictive analytics and forecasting techniques is considered a strong plus</li><li>Fluent in Greek and English (written and verbal), with the ability to engage effectively with stakeholders across all levels of the organization</li></ul>&nbsp;Core competencies of a successful candidate:&nbsp;<ul><li>Strong analytical and critical thinking skills with a structured approach to problem-solving</li><li>Proactive, hands-on attitude with a strong sense of ownership and accountability</li><li>Consultative mindset with the ability to identify opportunities and propose practical solutions</li><li>Collaborative team player with strong interpersonal skills and a positive, adaptable approach</li></ul>

Data & AI Insights Analyst

At Vodafone, we’re not just shaping the future of connectivity for our customers – we’re shaping the future for everyone who joins our team. When you work with us, you’re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.What you’ll doThe role is responsible to manage IT Service Desk and Data Center operational activities 24/7 under shifts, focusing on services availability and providing great customer experience to internal and external customers. &nbsp; &nbsp;More specifically you will:&nbsp;<ul><li>Administer, monitor, and support all data center solutions and IT infrastructure (internal and external), including system/application monitoring, incident/problem management, ticket handling (L1/L2), escalation based on severity and business impact, and collaboration with other teams. &nbsp;</li><li>Oversee data center facility operations, including physical security, access control, maintenance coordination, and support for internal/external access requests. &nbsp;</li><li>Analyze, design, and implement new data center installations, including capacity planning for power, cooling, space, and weight, and provide input on infrastructure requirements. &nbsp;</li><li>Manage data storage and backup operations, ensuring data protection, access control, and fulfillment of data requests. &nbsp;</li><li>Handle asset lifecycle management (LCM), including decommissioning/removal of equipment and secure destruction of failed or obsolete media (HDDs, backup tapes) via certified partners. &nbsp;</li><li>Produce regular (weekly/monthly) operational and performance reports</li></ul>Who you are<ul><li>Bachelor’s degree in Computer Science, Information Technology or a related field &nbsp;</li><li>At least 1 year of experience in the Service Desk domain with a proven track record &nbsp; &nbsp;&nbsp;</li><li>Experience in task management and in ticket recording tool (BMC Remedy ITSM)&nbsp;</li><li>Strong understanding of Server operating systems (Windows, Linux-Unix), software, and IT infrastructures&nbsp;</li><li>Familiarity with Networking and cloud solutions&nbsp;</li><li>Excellent analytical, technical, and problem- solving skills&nbsp;</li><li>Self – motivated with strong time-management &amp; collaboration skills, with the ability to work under pressure&nbsp;</li></ul>Not a perfect fit?Worried that you don’t meet all the desired criteria exactly? At Vodafone we are passionate about empowering people and creating a workplace where everyone can thrive, whatever their personal or professional background. If you’re excited about this role but your experience doesn’t align exactly with every part of the job description, we encourage you to still apply as you may be the right candidate for this role or another opportunity.What's in it for you<ul><li>Award-winning work environment -certified #1 Top Employer in Greece</li><li>Competitive pay, bonus &amp; remuneration package</li><li>Private Health &amp; Medical Insurance</li><li>Hybrid way of working: a blend of remote and office-based working, including the option to work from abroad</li><li>Unlimited access to learning resources and trainings</li><li>Vodafone Parental Leave: 16 weeks of fully paid parental leave to all employees regardless of gender, sexual&nbsp; orientation or length of service</li><li>Spirit of Vodafone Day: one day each quarter dedicated to your personal development</li><li>Extra days off: Vodafone Day, Family Day, Volunteering Day</li><li>Office amenities (subject to the office location): such as restaurant, beauty corner, gym and parking</li><li>Special employee offers and discounts</li></ul>

IT Service Desk & DCM Engineer

The Information Security (IS) Officer is responsible for oversighting the company’s Information Security Management System (ISMS) implementation, collaborating with teams across the company’s departments to address risks within the organization and reporting the effectiveness of company’s security controls to the Compliance Manager.Key responsibilities<ul><li>Supports establishment and implementation of policies, processes, documents and guidance pertaining to Rontis ISMS</li><li>Supports the development, implementation and monitoring of a strategic, comprehensive information security program to ensure the integrity, confidentiality and availability of data</li><li>Interacts&nbsp;closely with IT and compliance departments</li><li>Participates in audits concerning ISO 27001 and ensure company’s compliance to related certification</li><li>Interacts with external partners on security issues</li><li>Conducts risk assessments regularly with data owners</li><li>Monitors network usage to ensure compliance with security policies. Ensure that data accessibility is in compliance with roles and positions</li><li>Collaborates with management and the IT department to improve security</li><li>Documents any security breaches and assess their damage</li><li>Performs regular gap analyses to identify risk areas</li><li>Assists in investigating possible recorded incidents and assist in taking appropriate action, where applicable</li><li>Promotes information security awareness and training initiatives to educate workforce about information security risks</li></ul>Requirements&nbsp;&amp;Skills<ul><li>University Level Degree in Computer science, or a technology-related field</li><li>Specialization in IT tasks will be considered a plus</li><li>Excellent oral &amp; written communication skills in both Greek &amp; English language</li><li>Computer literacy</li><li>Good organizational and time management skills; Ability to prioritize</li><li>Ability to research, digest, analyze and present data clearly and concisely</li><li>Prior experience in similar position will be considered a plus</li><li>Adaptability, quick response, problem solving, communication skills</li><li>Responsible, pays attention to detail, demonstrates speed and accuracy</li><li>Positive personality, energetic</li><li>Multi-tasking, demonstrating flexibility</li><li>Discretion &amp; confidentiality</li></ul>

Information Security Officer

We are seeking a Senior Data Scientist to join our expanding product data science team.You will be responsible for designing, developing, and maintaining data science models and deploying pipelines that enable scalable solutions. Your role involves close collaboration with development and commercial teams to enhance advertising trading recommendations and improve operational efficiency. You will have the opportunity to influence best practices and contribute to impactful projects. If you are passionate about applying advanced data science techniques to real-world problems, we encourage you to apply.The remote option applies only to the Candidates who will be working from any location in Greece. #LI-DNI#LI-YAROSLAVADIAKOVAResponsibilities<ul><li>Translate product requirements into comprehensive data science solutions and manage end-to-end development pipelines</li><li>Take full ownership of data science development across various product features and modules</li><li>Collaborate closely with engineering teams and commercial stakeholders during the development lifecycle</li><li>Identify and research machine learning features with business impact and convert them into product functionalities</li><li>Evaluate risks and maintain a long-term focus on product quality and performance, proposing enhancements as required</li><li>Communicate proactively with project managers and stakeholders, resolving technical challenges efficiently</li><li>Support the team lead by recommending code and feature optimizations to reduce processing and storage expenses</li><li>Consider compute and storage costs during code reviews for peers</li><li>Ensure consistency in logic standards within the product and adhere to agile methodologies</li><li>Assist the team lead in onboarding and mentoring new team members on technical skills</li></ul>Requirements<ul><li>Minimum of 3 years of experience in data science projects</li><li>Strong understanding of machine learning techniques, including clustering, regression, classification, and deep learning</li><li>Experience using Databricks or similar notebook environments</li><li>Proficiency in Python and PySpark for processing large-scale datasets</li><li>Advanced skills in SQL and intermediate proficiency in Excel</li><li>Ability to translate business needs and product requirements into effective data science solutions</li><li>Experience in exploratory data analysis, data preprocessing, and feature engineering in big data environments</li><li>Familiarity with AWS or other cloud platforms for developing and deploying data pipelines and machine learning models</li><li>Experience with natural language processing applications</li><li>Knowledge of generative AI applications</li><li>Exposure to machine learning operations (MLOps)</li><li>Strong written and verbal English communication skills (B2+)</li></ul>We offer<ul><li>For your comfortable work:<ul><li>Remote and hybrid work opportunities</li><li>Option to work from our centrally located office in Athens</li><li>Corporate laptop provided</li><li>Option to work on your own device</li><li>Private health insurance</li><li>Meal vouchers / restaurant tickets</li><li>My Benefit card (264€/year)</li><li>Monthly public transportation card</li></ul></li><li>For your growth:<ul><li>Global and diverse client portfolio, large-scale projects, and trendy technologies</li><li>Diverse multicultural, multi-functional, and multilingual work environment</li><li>Opportunity to contribute to internal and open-source products</li><li>Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey</li><li>Possibility to create a Personal Development Plan from the first day in the company</li><li>Numerous opportunities for self-development: hard &amp; soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries</li><li>Certification opportunities</li><li>Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities</li><li>Language courses</li></ul></li></ul>

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