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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

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

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

At TaskUs, we prioritize our employees' well-being by offering competitive industry salaries and comprehensive benefits packages. Our commitment to a People First culture is reflected in the various departments we have established, including Total Rewards, Wellness, HR, and Diversity. We take pride in our inclusive environment and positive impact on the community. Moreover, we actively encourage internal mobility and professional growth at all stages of an employee's career within TaskUs. Join our team today and experience firsthand our dedication to supporting People First. T he Talent Acquisition Operations Manager is a key leadership role responsible for managing and optimizing the operational aspects of the talent acquisition function supporting candidate onboarding. This position focuses on managing teams across EMEA (primarily Greece, Adria Region, Egypt, UK &amp; Ireland), and overseeing all onboarding activity (from offer through to hire). It involves implementing efficient workflows, driving data-driven insights, and ensuring a seamless candidate experience. The manager collaborates with stakeholders across the organization to align talent acquisition strategies with business objectives. Key Responsibilities: <ul><li>Team Leadership &amp; Development: Lead and mentor a team of TA Operations professionals, across multiple Geos, fostering a culture of innovation, accountability, and professional growth.</li><li>Service Delivery: Working in partnership with the TA team to ensure successful delivery to the Operation - ensuring successful and timely completion and compliance of all onboarding activity including, background checks, contracting, onboarding documentation requirements, payroll activity etc.</li><li>Process Optimization: Continuously review and refine TA processes, workflows, and tools to enhance efficiency, effectiveness, and scalability. Identify opportunities for automation, standardization, and streamlining of operations to improve productivity, enhance efficiency and accuracy, and reduce time-to-fill metrics. Development and implementation of relevant AI tools.</li><li>Data Analysis and Reporting: Develop and maintain recruitment metrics, analytics reports, and dashboards to measure the effectiveness of talent acquisition strategies, track key performance indicators (KPIs), and provide actionable insights. Utilize data-driven approaches to identify trends, optimize processes, and make informed decisions.</li><li>Applicant Tracking System (ATS) Management: Oversee the administration, configuration, and optimization of the applicant tracking system. Ensure data integrity, system updates, and compliance with data privacy regulations. Provide training and support to recruiters and hiring managers on effective use of the ATS.</li><li>Compliance and Policy Adherence: Ensure compliance with relevant labor laws, regulations, and company policies throughout the talent acquisition process. Collaborate with legal and HR teams to establish and update recruitment-related policies, procedures, and practices in alignment with compliance requirements. Collaborate and engage with 3rd party vendors for payroll registrations and with Government authorities for employment registrations where applicable</li><li>Vendor &amp; Budget Management: Strategically manage a portfolio of talent acquisition vendors, negotiating contracts and evaluating performance to ensure maximum value.</li><li>Candidate Experience: Champion a proactive and data-driven approach to enhancing the candidate and hiring manager experience. Implement feedback loops and leverage insights to continuously refine our hiring journey and build our employer brand</li><li>Stakeholder Collaboration: Collaborate closely with Leaders across multiple Departments including TA, HR, Finance, Legal, Operations and other stakeholders to align TA strategies with business objectives. Provide guidance and support on operational aspects, including process improvement, technology adoption, and compliance. Provide regular updates and reports on recruitment activities, challenges, and successes</li><li>Continuous Improvement: Stay updated on industry trends, best practices, and emerging technologies in talent acquisition operations. Proactively identify opportunities to enhance operational efficiency, optimize candidate experience, and drive continuous improvement in recruitment processes.</li></ul> Qualifications and Skills: <ul><li>Extensive experience in talent acquisition, recruitment operations, or a related field, with a focus on process optimization and operational management.</li><li>Experience of managing onboarding, including background check completion, contracting processes, onboarding documentation requirements, etc.</li><li>Leadership experience with strong team management, communication, and stakeholder management skills.</li><li>Experience of working across multiple Geo's within EMEA.</li><li>Experience of working with relevant 3rd party vendors and authorities for the purposes of hiring related registrations</li><li>Strong knowledge of end-to-end recruitment processes, applicant tracking systems (strong preference Workday experience) and recruitment technologies.</li><li>Proficiency in data analysis, metrics reporting, and utilizing recruitment analytics to drive insights and improvements.</li><li>Solid understanding of employment laws, regulations, and compliance best practices.</li><li>Strong project management capabilities, including the ability to lead and execute complex projects with cross-functional teams.</li><li>Strategic mindset with the ability to align operational strategies with talent acquisition and organizational goals.</li><li>Innovative and forward-thinking mindset, staying updated on industry trends and emerging technologies to drive recruitment excellence.</li></ul>

Talent Acquisition Operations Manager - EMEA

IT/OT Mining and Resource Planning Team implements and enforces standards and policies as defined by the Group in collaboration with Corporate Mining and Resource Planning organization. IT/OT Mining and Resource Planning Team designs, deploys and supports regional and Business areas specific solutions and applications for the Corporate Mining and Resource Planning organization.The IT/OT Mining &amp; RP Project Manager is a critical bridge between the Corporate Mining &amp; Resource Planning (MRP) team and the IT organization. You will be responsible for designing, deploying, and supporting digital solutions and operational technologies (OT) that enhance mining efficiency, data accuracy, and safety across global operations. Whether your expertise lies in Mining Engineering, Geospatial Systems (GIS), or Continuous Improvement, your goal is to translate complex business requirements into robust technical systems. The IT/OT Mining &amp; RP Project Manager covers any IT/OT Mining and Resource Planning projects, change requests and support on existing infrastructure delivering customers projects and operational technologies not limited to the implantation but support and troubleshooting as well. In addition, he/she develops and monitors data quality metrics and ensures business data and reporting needs are met. Strong technology, analytical and communication skills are must-have traits. This position will be mainly dedicated to the success of the Imerys IT/OT mining projects.Your Responsibilities:Project Management &amp; Strategic Planning<ul><li>Project Lifecycle: Define project requirements by identifying milestones, phases, and elements; form project teams and establish/manage project budgets.</li><li>Execution &amp; Monitoring: Monitor project progress by tracking activity, resolving bottlenecks, publishing progress reports, and recommending corrective actions.</li><li>Resource &amp; Cost Analysis: Validate resource requirements and develop complex cost estimate models to support project feasibility.</li><li>Strategic Support: Conduct and coordinate financial, product, market, and operational research to support strategic planning across various departments.</li><li>Data-Driven Decisions: Interpret, evaluate, and interrelate research data to develop integrated business analyses and projections for executive decision-making.</li></ul>Business Analysis &amp; Continuous Improvement (CI)<ul><li>Operational Objectives: Determine operational objectives by studying business functions, gathering information, and evaluating output requirements and formats.</li><li>Process Mapping: Construct workflow charts and diagrams, study system capabilities, and write detailed technical specifications.</li><li>System Optimization: Improve systems by studying current practices and designing modifications; recommend controls by identifying problems and writing improved procedures.</li><li>Impact Assessment: Understand and communicate the financial and operational impact of any technical or process changes.</li><li>Actionable Analytics: Suggest changes using advanced analytics and actively participate in the implementation of approved changes.</li></ul>IT/OT Infrastructure &amp; Technical Documentation<ul><li>Infrastructure Governance: Interact closely with the IT/OT organization to produce and maintain documentation and procedures pertaining to the Mining &amp; RP infrastructure.</li><li>Technical Reporting: Prepare technical reports by collecting, analyzing, and summarizing information and trends while maintaining strict confidentiality.</li><li>System Validation: Perform daily, weekly, and monthly reviews of current processes using operational metrics and reports across operations, purchasing, inventory, and distribution.</li><li>Reporting Tools: Create informative, actionable, and repeatable reporting that highlights relevant business trends and opportunities for improvement.</li></ul>Mining Operations &amp; Technical Excellence<ul><li>Operational Optimization: Analyze and optimize mining operations, including drilling, blasting, and excavation workflows.</li><li>Modeling &amp; Simulation: Utilize operational plans, production data, and simulation/modeling software to assess and enhance operational performance.</li><li>Technical Literacy: Demonstrate a strong aptitude for understanding technical drawings (PFDs, P&amp;IDs), cause-and-effect matrices for complex packages, and mechanical/rotating equipment control systems.</li><li>Data Standards: Clearly understand data sheets and plant design specifications to ensure digital twins or ERP systems remain accurate.</li><li>Resource Management: Apply a deep understanding of mine planning and resource management strategies to all IT/OT implementations.</li></ul>Collaboration, Safety &amp; Compliance<ul><li>Stakeholder Influence: Demonstrate the ability to influence stakeholders outside of the immediate chain of command to drive digital adoption.</li><li>Cross-Functional Teamwork: Collaborate closely with on-site engineers, geologists, and management teams to ensure solutions are fit-for-purpose.</li><li>Safety &amp; Compliance: Ensure all projects comply with relevant mining regulations and safety standards; maintain a fundamental understanding of process hazard safety.</li><li>Innovation: Continually research and recommend innovative technologies and methodologies (OT) to improve efficiency and safety on-site.</li></ul>Qualifications:Essential<ul><li>Bachelor's degree in Mining Engineering, Metallurgical Engineering, Geology or a closely related field.</li><li>Minimum of 3 years of experience in IT mining operations, with a strong understanding of underground and/or open-pit mining methods, mine planning and simulation tools.</li><li>Excellent analytical, problem-solving, and decision-making skills.</li><li>Strong communication and collaboration abilities, essential for a global work environment.</li><li>Ability to work independently and manage complex projects.</li><li>Experience with data analysis and reporting.</li><li>Commitment to sustainable and responsible mining practices.</li><li>Fluent in English and French</li></ul>Desirable<ul><li>Experience of working within a culturally diverse global company</li><li>Experience in multidisciplinary team management</li><li>Willing to travel nationally and internationally</li></ul>What We Offer:<ul><li>Competitive compensation package</li><li>Hybrid work model</li><li>A dynamic, multicultural team with opportunities for personal and professional growth</li><li>Access to continuous learning and development programs</li><li>Health insurance and other benefits tailored to your needs</li><li>The chance to work in a global environment, collaborating with colleagues from across Europe and beyond</li></ul>

IT/OT Mining & Resource Planning Project Manager 11206

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

Are you passionate about turning data into real business opportunities? We’re looking for a Data Analyst&nbsp;who will analyze customer data from our CRM system and translate insights into actionable business opportunities.Your contribution to the success of the team<ul><li>Analyze customer data from the CRM database to identify trends, patterns, and opportunities</li><li>Generate reports highlighting potential sales opportunities, customer behavior, and market insights</li><li>Evaluate qualitative and quantitative data to support decision-making</li><li>Support segmentation, targeting, and campaign analysis initiatives</li><li>Collaborate with marketing teams to propose and optimize targeted campaigns</li><li>Monitor campaign performance and suggest improvements based on data analysis</li></ul>Your Qualifications &amp; Skills<ul><li>Bachelor’s or Master’s degree in Statistics, Mathematics, Data Analysis, Business Analytics, or a related quantitative field</li><li>2+ years of experience in data analysis, database management, or similar role</li><li>Strong hands-on experience with CRM systems, as well as advanced knowledge of Microsoft Power BI (familiarity with other BI tools is considered a plus)</li><li>Advanced proficiency in Microsoft Excel</li><li>Ability to present data in a clear and meaningful way</li><li>Excellent analytical and problem-solving skills</li><li>Detail-oriented and proactive, with a strong ability to translate data into actionable insights.</li><li>Ability to work independently and as part of a team</li></ul>Nice to Have:<ul><li>Experience in marketing analytics</li><li>Familiarity with reporting tools and dashboards</li></ul>Your Benefits:We are growing our team with the vision of having top performers who contribute directly to the growth of the company. As a result, we offer:💰Competitive remuneration package❤️Private health insurance plan🏠Hybrid working model💯Opportunity to work alongside people who are always eager to mentor🚍Transportation with company’s bus from central stations📖 Funded training &amp; development opportunities🥪Catering food services

Data Analyst

Our Client is expanding its AI &amp; Data division and is looking for an experienced Machine Learning Engineer&nbsp;to design, develop, and deploy advanced ML solutions that power automation and digital transformation initiatives. This role combines&nbsp;hands-on engineering&nbsp;with&nbsp;technical leadership, focusing on creating scalable, production-ready ML systems that support real-world business processes.Key Responsibilities<ul><li>Design, develop, and integrate&nbsp;machine learning models&nbsp;into production environments.</li><li>Build and maintain&nbsp;data pipelines&nbsp;and&nbsp;model training workflows&nbsp;to ensure reliable and automated processes.</li><li>Develop and enhance the company’s&nbsp;MLOps infrastructure&nbsp;for model lifecycle management, automation, and monitoring.</li><li>Write&nbsp;production-grade Python code&nbsp;and build APIs or services that expose ML models to business applications.</li><li>Continuously monitor, evaluate, and retrain models to maintain accuracy and performance.</li><li>Collaborate with&nbsp;data engineers, annotation teams, software developers, and product managers&nbsp;to align solutions with business objectives.</li><li>Participate in&nbsp;code reviews, documentation, and the definition of engineering best practices.</li></ul>Requirements<ul><li>Bachelor’s or Master’s degree in&nbsp;Computer Science, Mathematics, Statistics, or a related discipline.</li><li>4 + years&nbsp;of hands-on experience developing and deploying machine learning models.</li><li>Proven&nbsp;people management or team leadership experience.</li><li>Strong proficiency in&nbsp;Python&nbsp;and ML libraries (e.g.,&nbsp;scikit-learn, TensorFlow, PyTorch).</li><li>Solid understanding of&nbsp;MLOps tools and practices&nbsp;(e.g.,&nbsp;MLflow, Kubeflow, Airflow).</li><li>Working knowledge of&nbsp;cloud platforms&nbsp;such as AWS, GCP, or Azure.</li><li>Excellent&nbsp;analytical thinking,&nbsp;problem-solving, and&nbsp;communication skills.</li><li>Fluent in&nbsp;English, both written and spoken.</li></ul>Nice to Have<ul><li>Experience with&nbsp;document understanding,&nbsp;OCR, or&nbsp;NLP&nbsp;models.</li><li>Familiarity with&nbsp;containerization&nbsp;(Docker, Kubernetes) and CI/CD for ML pipelines.</li><li>Exposure to&nbsp;data governance,&nbsp;model monitoring, or&nbsp;AI observability&nbsp;tools.</li></ul>Why Join Them<ul><li>You’ll be part of a growing AI team within a well-established organization that is transforming its services through technology.</li><li>You’ll work on end-to-end ML systems, from data ingestion to deployment, with real business impact across automation and document intelligence domains.</li><li>If you’re passionate about building scalable ML products and want to see your models running in production, this is the right environment for you.</li></ul>&nbsp;

Senior ML Engineer

Are you passionate about turning data into real business opportunities? We’re looking for a&nbsp;Customer Analytics Specialist&nbsp;who will analyze customer data from our CRM system and translate insights into actionable business opportunities.Your contribution to the success of the team<ul><li>Analyze customer data from the CRM database to identify trends, patterns, and opportunities</li><li>Generate reports highlighting potential sales opportunities, customer behavior, and market insights</li><li>Evaluate qualitative and quantitative data to support decision-making</li><li>Support segmentation, targeting, and campaign analysis initiatives</li><li>Collaborate with marketing teams to propose and optimize targeted campaigns</li><li>Monitor campaign performance and suggest improvements based on data analysis</li></ul>Your Qualifications &amp; Skills<ul><li>Bachelor’s or Master’s degree in Statistics, Mathematics, Data Analysis, Business Analytics, or a related quantitative field</li><li>2+ years of experience in data analysis, database management, or similar role</li><li>Strong hands-on experience with CRM systems, as well as advanced knowledge of Microsoft Power BI (familiarity with other BI tools is considered a plus)</li><li>Advanced proficiency in Microsoft Excel</li><li>Ability to present data in a clear and meaningful way</li><li>Excellent analytical and problem-solving skills</li><li>Detail-oriented and proactive, with a strong ability to translate data into actionable insights.</li><li>Ability to work independently and as part of a team</li></ul>Nice to Have:<ul><li>Experience in marketing analytics</li><li>Familiarity with reporting tools and dashboards</li></ul>Your Benefits:We are growing our team with the vision of having top performers who contribute directly to the growth of the company. As a result, we offer:💰Competitive remuneration package❤️Private health insurance plan🏠Hybrid working model💯Opportunity to work alongside people who are always eager to mentor🚍Transportation with company’s bus from central stations📖 Funded training &amp; development opportunities🥪Catering food services

Customer Analytics Specialist (Marketing Data)

As part of Data &amp; AI practice, you will formulate real-world problems into practical, efficient, and scalable AI and Machine Learning products. 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>Lead a technical team of 5-8 people and provide guidance to explore and implement new data methodologies, model building techniques, cutting-edge algorithms, and operationalization frameworks to solve real-world problems</li><li>Establish deep understanding and ability to remain at the forefront of AI and foundation models (with a focus on driving innovation by applying these techniques to new business problems, use cases, and scenarios)</li><li>Justify the value of innovative AI or traditional Machine Learning approaches (or a combination of both) in the business problems, constructing methodologies that clearly demonstrate their value</li><li>Work collaboratively with teams (onshore and/or offshore) from both the business and technical side, including business owners, engineers, architects, and UI designers, to achieve end-to-end project development goals</li></ul>show lessQualificationsWHO 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 5+ years of proven working experience in AI &amp; ML areas, leading a team of 5-8 people</li><li>Solid theoretical and hands-on knowledge of deep learning, neural networks, foundation models, NLP and/or Computer vision</li><li>Proficiency in AI &amp; ML scripting (such as Python) and Machine Learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn)</li><li>Strong program management and communication skills, both verbal and written</li><li>Ability to communicate results effectively and explain technical methodologies in non-technical audience</li><li>Experience with Cloud Technologies (MS Azure, GCP, AWS)</li><li>Considered a plus (not a prerequisite):</li><li>Understanding of ML lifecycle and hands-on experience with ML Ops</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>Familiarity with visualization tools (Power BI, Tableau) Experience in</li><li>Experience with containerization and orchestration tools</li><li>Experience in sales and business development</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></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 and various corporate discounts</li><li>Continuous training &amp; development through global platforms &amp; local academy. 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>Career coaching and mentorship to help you manage your career and develop professionally</li><li>Ongoing strength and skill-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>Opportunities to get involved in corporate citizenship initiatives, from volunteering to doing charity work</li><li>Under our Brain Regain initiative, extra relocation benefits may apply</li></ul>

AI/ML Science Manager

As a&nbsp;Senior Back-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 data services like Data Science, AI or IoT. Your day to day tasks will include participating in the daily scrums, shaping and coding the back-end components of the user stories, unit testing the code and committing it into the repository.Key Responsibilities:<ul><li>Design, build, and optimize back-end systems for high-performing web applications using Python (Django, FastAPI).</li><li>Develop and maintain APIs (REST/GraphQL) to enable secure and efficient data exchange across applications.</li><li>Architect scalable solutions ensuring reliability, performance, and maintainability in production environments.</li><li>Manage databases (SQL &amp; NoSQL), write optimized queries, and ensure data integrity across large-scale systems.</li><li>Implement CI/CD pipelines and automated testing to maintain code quality and support rapid deployments.</li><li>Collaborate with front-end developers, product managers, and data engineers to deliver seamless end-to-end solutions.</li><li>Ensure application security and compliance by applying best practices in authentication, authorization, and data protection.</li><li>Leverage containerization and cloud services (Docker, Kubernetes, Azure/AWS/GCP) for deployment and scalability.</li><li>Mentor junior developers by reviewing code, sharing best practices, and fostering continuous learning.</li><li>Stay up to date with modern web technologies and introduce improvements to enhance system performance and developer productivity.</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 back-end programming languages, Rest APIs development, and respective frameworks (Python Fast API, Django, .Net, C# or Node.JS)</li><li>Experience with connecting to Application Program Interface (API) to build and integrate endpoints</li><li>Experience with Container Orchestration systems (Docker, Kubernetes) and Microservices architecture</li><li>Experience with Git (forking, branching, merging)</li><li>Experience with databases (MySQL, MongoDB or Postgres SQL)</li><li>Experience with Container Orchestration systems (Docker, Kubernetes)</li><li>Experience working as a member of a software development team, e.g. participating in planning sessions and interpreting user stories, doing code reviews, pair programming</li><li>Ability to think creatively to design/build applications that meet business process and application requirements</li><li>Ability to understand business requirements and translate them into technical requirements</li><li>Ability to work in a global collaborative team environment</li><li>Ability to manage multiple priorities, and assess and adjust quickly to changing priorities</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 Back-End Developer (Django/FastAPI)

Are you excited about using advanced analytics to unlock real value from retail customer data?&nbsp;You’ll turn raw signals and trends into actionable insights that power smarter decisions, better experiences, and measurable ROI.&nbsp;Your day to day will include:<ul><li>Applying robust business logic to analyze customer behavior and performance trends, identifying opportunities, risks, and growth drivers</li><li>Performing in‑depth analysis on strategic topics (e.g., segmentation) and implementing ML/AI algorithms where applicable</li><li>Translating complex data into clear, actionable insights that support business decision‑making and recommending actions with measurable impact</li><li>Conducting regular and ad hoc analyses on CRM, Loyalty, and Commercial activations and delivering insights on customer engagement and value contribution</li><li>Developing and maintaining evaluation dashboards and reports (e.g., Power BI, Tableau, GA) by integrating multiple data sources</li><li>Implementing strong data validation procedures to ensure accuracy, consistency, and reliability of analytical outputs</li><li>Delivering presentations upon management request, providing analysis of complex datasets, commercial insights, and actionable plans</li><li>Designing, calculating, and maintaining customer‑centric KPIs and performance frameworks to evaluate initiative outcomes</li><li>Collaborating closely with internal teams (e.g., CRM, Loyalty, MUs, Sales, Finance, BI) to assess their analytical needs and translate them into actionable insights</li><li>Partnering with Tech teams to define data engineering and BI requirements (e.g., data marts, customer 360° views, validation standards)</li></ul>&nbsp;What you need to succeed:&nbsp;<ul><li>BSc in Statistics, Mathematics, Engineering, Computer Science or Analytics; MSc in a relevant field is a plus</li><li>Experience in data mining and big data analysis within complex environments</li><li>Strong SQL skills and hands‑on experience with analytical tools (Python, R, SAS, SPSS Modeler)</li><li>Solid understanding of statistical models and advanced analytical techniques</li><li>Proficiency in data visualization tools (Power BI, Tableau)</li><li>Strong analytical thinking, business acumen, and problem‑solving mindset</li><li>Proficient MS Office knowledge</li><li>Excellent command of English (written &amp; spoken)</li></ul>&nbsp;What’s in it for you?<ul><li>An award-winning working environment&nbsp;🚀</li><li>Competitive salary package and bonus scheme&nbsp;💸</li></ul><ul><li>Health insurance coverage &amp; Pension Plan&nbsp;🙏</li></ul><ul><li>State of the art facilities including gym &amp; restaurant&nbsp;🏢</li><li>Hybrid working model&nbsp;💻</li><li>Continuous learning with classroom/digital trainings by Allwyn Academy&nbsp;🎓</li><li>Internal Career Opportunities&nbsp;💼</li><li>Volunteering opportunities, including 2 extra days off to give back🌱</li><li>Well-Being activities&nbsp;💪</li><li>Monthly food allowance 🍴</li><li>Exclusive employee discounts across a range of partners 🛍️</li></ul>

Data Analyst (3865)

As a Retail Analytics Senior Specialist, you will play a key role in shaping and supporting the strategic direction of OPAP’s retail network. You’ll contribute to the definition of business objectives, commercial KPIs, and budget planning, while continuously monitoring performance and delivering insightful reports. Additionally, you’ll provide comprehensive analytics and reporting across the entire retail ecosystem, supporting stakeholders at all levels, from agents and Marketing Units to Area Managers, Sales teams, and top management.&nbsp;Your day to day will include:<ul><li>Monitoring retail network KPIs (OPAP stores, Play Stores, indirect channels) and developing Power BI reports (annual, quarterly, monthly, ad-hoc) with detailed performance analysis by region, store, and product.</li><li>Conducting ad-hoc and deep-dive analyses to assess commercial initiatives (e.g., Sports Party, KINO draws).</li><li>Tracking performance and reward schemes to ensure effectiveness.</li><li>Evaluating retail initiatives for impact and alignment with business priorities.</li><li>Ensuring accuracy and stability of reporting tools, combining technical expertise with business understanding.</li><li>Delivering actionable insights that connect data to commercial outcomes.</li><li>Collaborating with the AI team on root cause analysis and predictive modeling and expanding reporting automation using AI capabilities.</li><li>Contributing to the design and evaluation of commercial and credit policies, and reward schemes, recommending improvements.&nbsp;</li><li>Suggesting new initiatives, services, and features to boost retail ROI for partners and OPAP.</li><li>Conducting post-investment appraisals of retail initiatives, evaluating store profitability with Sales and Finance.</li><li>Aligning with BI team to optimize data infrastructure that supports the team's reporting needs.</li></ul>&nbsp;What you need to succeed:<ul><li>Bsc in Management Science &amp; Technology, Management of Information Systems or relevant field</li><li>Master’s in Business Administration, Finance, Economics, Marketing or relevant field</li><li>Hands-on experience in analyzing, visualizing and interpreting data using tools like R / Python / SQL / Power BI / Data Bricks / Microsoft Azure</li><li>Excellent numerical and analytical skills with the ability to interpret data into well-presented, meaningful stories</li><li>Knowledge of basic financial principles</li><li>Experience in predictive analytics, ideally by utilizing automation, ML &amp; AI features</li><li>Strong result &amp; consumer-oriented approach</li><li>Excellent communication and presentation skills in English &amp; Greek</li><li>Good Knowledge of the gaming industry will be considered an asset</li></ul>&nbsp;What’s in it for you?<ul><li>An award-winning working environment&nbsp;🚀</li><li>State of the art facilities including gym &amp; restaurant&nbsp;🏢</li><li>Hybrid working model&nbsp;💻</li><li>Competitive salary package and bonus scheme&nbsp;💸</li><li>Health insurance coverage &amp; Pension Plan&nbsp;🙏</li><li>Monthly food allowance&nbsp;🍴</li><li>Continuous learning with classroom/digital trainings by OpapAcademy&nbsp;🎓</li><li>Internal Career Opportunities&nbsp;💼</li><li>Well-Being Activities&nbsp;💪</li></ul>&nbsp;OPAP Group is an equal opportunity employer&nbsp;

Retail Analytics Sr. Specialist (3770)

We are looking for a talented and driven CRM Campaign Specialist to join our CRM &amp; Analytics team. In this role, you will be responsible for the end-to-end design, execution, and optimization of CRM campaigns across multiple channels.&nbsp;You have a challenging mission:You will play a key role in driving customer engagement, retention, and revenue growth through effective, data-driven campaign management. This is a hands-on operational role that also requires a strong understanding of the broader business landscape, enabling you to align campaign strategies with company objectives and proactively identify opportunities for growth. You will report directly to the CRM &amp; Analytics Manager and work closely with cross-functional teams including Product, Marketing, and Commercial.&nbsp;What will you do:Campaign Design &amp; Execution<ul><li>Design, build, and execute CRM campaigns end-to-end, from strategic concept and audience targeting through to content creation, channel selection, and deployment.</li><li>Craft compelling SMS, email, push notification, and other communication content that drives engagement and conversion.</li><li>Operate and manage CRM campaign platforms to set up campaign logic, triggers, &amp; audience segmentation, and scheduling.</li><li>Monitor to ensure smooth execution, promptly troubleshooting any issues that arise.</li><li>Implement A/B and testing strategies to continuously optimize messaging, timing, channel mix, and audience segments.</li></ul>Performance Reporting &amp; Analysis<ul><li>Build and deliver regular campaign performance reports, including key metrics such as conversion rates, and customer lifetime value impact.</li><li>Analyze campaign data to extract actionable insights and translate findings &nbsp;into clear recommendations for stakeholders.</li><li>Track campaign KPIs against targets and proactively flag deviations with proposed corrective actions.</li></ul>Strategy &amp; Innovation<ul><li>Proactively propose new campaign ideas, strategies, and communication approaches that generate added value for the business.</li><li>Identify opportunities to improve existing campaigns through data-driven insights, industry best practices, and emerging trends.</li><li>Contribute to the overall CRM roadmap and campaign calendar planning.</li></ul>Cross-Functional Collaboration<ul><li>Partner closely with the Product Team to support communication activities for product launches, feature rollouts, and product updates.</li><li>Collaborate with Marketing, Commercial, and other teams to ensure campaign&nbsp;&nbsp;&nbsp; messaging is aligned with brand guidelines and business priorities.</li><li>Coordinate with external vendors and platform providers as needed.</li></ul>Campaign Optimization &amp; Best Practices<ul><li>Secure the best possible execution approach for every campaign by evaluating channel effectiveness, message formulation, timing, and targeting.</li><li>Develop and maintain campaign templates, playbooks, and standard operating procedures to ensure consistency and efficiency.</li><li>Champion a culture of continuous testing and learning within the team.</li></ul>&nbsp;It would be great if you have:<ul><li>Knowledgeable in CRM and marketing automation platforms, including campaign setup, audience segmentation, workflow automation, and journey building.</li></ul><ul><li>Data analysis skills with the ability to interpret campaign metrics, build reports, and derive actionable insights.</li><li>Working knowledge of data analysis, data querying and reporting tools (e.g., SPSS Modeler/ Excel/SQL).</li><li>Understanding of customer segmentation methodologies, personalization techniques, and lifecycle marketing principles.</li><li>Familiarity with A/B testing and experimentation frameworks.</li></ul><ul><li>Excellent written communication skills with an ability to craft engaging, concise, and effective marketing copy across channels.</li><li>Strong analytical thinking and problem-solving abilities.</li><li>Detail-oriented with a commitment to accuracy in campaign execution.</li><li>Ability to manage multiple projects and campaigns simultaneously while meeting deadlines.</li></ul><ul><li>Proactive mindset with a passion for innovation and continuous improvement.</li><li>Strong interpersonal and collaboration skills; comfortable working with cross-functional teams.</li></ul><ul><li>Business acumen and ability to understand broader commercial objectives beyond day-to-day campaign operations.</li><li>Experience with customer journey mapping and lifecycle marketing.</li></ul>&nbsp;What you will get:<ul><li>Wellness programs to keep yourself fit.</li><li>Mobile voice and data to talk.</li><li>Discounts on&nbsp;Nova Fixed / Mobile / TV&nbsp;for you, friends, family.</li><li>Private Insurance program to check up on your health.&nbsp;</li><li>Toddlers allowance to daycare your kids.</li></ul>&nbsp;

CRM Campaign Specialist

As a Senior Internal Auditor (IT &amp; Data Analytics), you are responsible for providing independent, objective assurance and advisory services designed to add value and improve the organization’s operations. In this role, you will engage frequently with ΙΤ, Cyber Security, Digital Banking, Data Governance business and functional units across the Bank and the wider International Group, providing valuable insights and challenging the effectiveness of respective ICT and operational risk management processes.&nbsp;What you will be doing&nbsp;<ul><li>Assess the effectiveness and efficiency of the IT processes followed at Group level.</li><li>Evaluate the design and operational effectiveness of information systems and applications.</li><li>Contribute to the development and application of the internal audit functions’ data analytics capability.</li><li>Review, evaluate and test application controls.</li><li>Complete audit working papers by documenting audit tests and findings.</li><li>Provide recommendations on identified issues.</li><li>Keep abreast of the new audit developments and apply international practices and standards (IIA, ISACA - CoBIT, ITIL etc.).</li></ul>&nbsp;What you need to have&nbsp;<ul><li>A Bachelor’s Degree preferably in Information Technology, Computer Science or in another quantitative field of study (e.g. Engineering, Mathematics or any other related discipline).</li><li>7 – 10 years of professional experience in&nbsp;Network/System/Database/Development/Application Administration,&nbsp;IT Security,&nbsp;Data Processing and Data Visualization Technologies,&nbsp;ICT Audit</li><li>Knowledge of banking environment will be considered a plus.</li><li>A professional qualification, such as CISA, CISSP, CISM or any other related audit/technical designation, will be considered an asset.</li><li>Communication, report writing and presentation skills.</li><li>Excellent command of the English language (both written and spoken).</li></ul>&nbsp;&nbsp;What we offer&nbsp;It’s all about our people. At Alpha Bank, you will enjoy:&nbsp;<ul><li>A friendly and collaborative working environment that supports taking initiative and action</li><li>A culture that centers around learning and continuous development and encourages everyone to bring their best self to work</li><li>The opportunity to challenge your thinking through your participation in complex tasks and transformation projects</li><li>Being part of a large organization with a leading role in the Greek economy and a strong presence in the community</li><li>Flexible working options</li><li>A competitive salary and benefits</li></ul>

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