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All over the world,&nbsp;our client’s&nbsp;colleagues are working together to positively impact health for everyone, everywhere. Each position at Pfizer touches and contributes to the success of their business and our world. That’s why, as one of the global leaders in the biopharmaceutical industry, Pfizer is committed to seeking out inspired new talent who share their core values and mission of making the world a healthier place.R&amp;D within AIDA (AI, Data and Analytics), a Pfizer Digital organization, is responsible for the development and management of all data and analytics tools and platforms across the enterprise – from global research and development, to manufacturing, to commercial, to patient care across over 100+&nbsp;countries. One of the team’s top priorities is the advancement of AI/ML enabled analytics and the creation of data solutions that can be leveraged across the enterprise.R&amp;D in AIDA&nbsp;holds responsibility for the development and operations of the aggregate data solutions (data lakes and associated application portfolios) supporting Pfizer’s scientific and clinical functions.The Senior Associate Solution Engineer will develop data solutions with a team of peer developers, digital client partners, architects, platform leads and contract support personnel for Global Clinical Supply (GCS).What You Will AchieveIn this role, you will:<ul><li>Design, develop, maintain and improve new and existing data solutions with a strong sense of accountability and attention to quality (mainly within a cloud hosted environment).</li><li>Design, develop and maintain patterns used for various data engineering solutions. Identify, evaluate and recommend alternative design options when needed.</li><li>Align development activity with recommended architectures, platforms and coding standards.&nbsp;Ensures quality, security and privacy are built in.</li><li>Partner with internal and external teams to implement data solutions. Collaborate closely with others in cross-functional teams.</li><li>Perform code reviews and testing of code written, including designing and writing automated workflows to allow for continuous delivery.</li><li>Ensure high data reliability, efficiency, and quality standards are maintained and continuously improve engineering practices and processes.</li><li>Ensure documentation requirements are met based on both SDLC and ADLC processes.</li><li>Exercise own judgment leveraging knowledge and experience, working independently with instruction on complex problems.</li><li>Translate business requirements into engineering specifications.</li></ul>Basic Requirements:<ul><li>BS/MS in Computer Science, Engineering, or related field.</li><li>3+ years of experience in a hands-on data engineering role.</li><li>Fundamental knowledge in programming using Python and PySpark.</li><li>Demonstrated knowledge of Structured Query Language (SQL).</li><li>Back-end experience with databases such as Oracle, RedShift, and&nbsp;Snowflake.</li><li>Knowledge of Big Data technologies.</li><li>Experience in designing, developing and implementing advanced data engineering solutions.</li><li>Self-starter with the ability to independently prioritize and complete multiple tasks with little to no supervision.</li><li>Flexible to changing priorities and comfortable in a fast-passed dynamic environment.</li><li>Strong attention to detail with high standards of quality and customer value.</li><li>Self-motivated and proactive with the ability to take ownership of issues.</li><li>Excellent oral and written communication skills.</li><li>Familiarity on ETl workflows, data storage, index strategies, ingesting/indexing processes, transforming/normalizing data and data enrichment upon ingest.</li></ul>Preferred Requirements:<ul><li>Experience in working with cloud solutions and services, preferably AWS.</li><li>Experience with developing identity management solutions desirable.</li><li>Experience in&nbsp;developing solutions aimed at medical professionals desirable.</li><li>Experience in the Pharma&nbsp;industry&nbsp;desirable.</li><li>Experience in modern software development practices including distributed versioning systems, continuous&nbsp;integration/deployment,&nbsp;automated testing (DevOps).</li><li>Working knowledge of Jira, GitHub, and Docker.</li><li>Experience with Agile methodology for developing and delivering solutions.</li></ul>Work Location Assignment:&nbsp;Hybrid

1399 – Senior Associate, Solution Engineer

Site Reliability Engineering (SRE) is a set of principles and practices that seeks to take a software engineering approach to solving IT Operations problems. In the Site Reliability Engineering team,&nbsp;our client&nbsp;seeks to apply an SRE approach to managing infrastructure operations, with a focus on:<ul><li>Ensuring services are running smoothly: identifying and regularly reviewing operational health indicators to ensure delivery to defined service levels.</li><li>Continuously analyzing service data to identify service improvement opportunities. Opportunities will be assessed on their potential to remove manual effort (‘toil’), improve service reliability, and enhance customer experience.</li><li>Developing, or partnering with other teams to develop automation that will remove toil from the environment, and deliver a more reliable, cost-effective service to the company.</li></ul>The SRE engineer will work to ensure that Pfizer’s critical services have reliability and uptime appropriate to users’ needs by developing software that automates support tasks, reduces errors, and self-heals common service failures.ROLE RESPONSIBILITIES<ul><li>Work as part of a team of software and systems engineers on projects oriented towards improving the availability, reliability and efficiency of the global infrastructure services that run Pfizer’s critical applications.</li><li>Develop infrastructure and build monitoring and automated solutions to address those recurring issues and to remove manual effort to increase service efficiency.</li><li>Apply “everything-as-code” philosophy across configuration, infrastructure, Orchestration methodologies to ensure their production systems are fault tolerant and resilient.</li><li>Analyze system data to identify patterns that indicate opportunities for improvement, particularly by addressing recurring issues, or automating currently manual effort (‘toil’).</li><li>Take a data-driven approach to identifying and surfacing indicators for use by the broader operations team to monitor service health.</li><li>Practice blameless post-mortems – deep-dive analyses on major service events and outages, with a view to identifying opportunities for improvement.</li></ul>QUALIFICATIONS&nbsp;Basic requirements:<ul><li>Bachelor’s degree in computer science or related technical field, or equivalent practical experience.</li><li>At least 5 years of demonstrated experience in similar roles/environments.</li><li>Experience with at least one of the major cloud providers (AWS, Google Cloud, Azure, etc), infrastructure architecture and infrastructure as code (IaC).</li><li>Proven experience with containerization and container orchestration tools.</li><li>Proven experience working with various operating systems, including Unix, Linux, and Windows (on premise and virtual).</li><li>Proven experience with configuration management tools (Ansible, Puppet, Chef etc).</li><li>Expertise in git operations, branching strategies, versioning and releasing.</li><li>Practical experience and understanding of CI/CD pipelines.</li><li>Strong scripting skills (Bash, PowerShell, Python etc.) to automate various tasks.</li><li>Exposure to monitoring tools (logs, metrics, traces) and alerts.</li><li>Experience with analyzing and troubleshooting on-premise and cloud systems.</li><li>Previous experience with Agile delivery frameworks (e.g. Scrum, Kanban).</li></ul>Preferred requirements:<ul><li>Advanced degree</li><li>Previous experience with hosting and network solutions.</li><li>Previous experience with programming and SDLC lifecycle in at least two of the following: Python, Java, C#, JavaScript, TypeScript, Go, C, C++, etc. will be considered a plus.</li><li>Experience with Relational and Non-Relational databases.</li><li>Hands-on experience with ServiceNow or similar, ITSM workflows, and CMDB integrations.</li><li>Proven ability to work effectively with cross-functional teams, including developers, QA, operations, and product management.</li><li>Aptitude for mentoring less experienced team members and providing guidance on best practices, even without direct management responsibilities.</li><li>Ability to quickly learn and adapt to new tools and technologies as needed.</li><li>Expertise in designing and maintaining automated build, test, and deployment systems.</li><li>Familiarity with modern architectural patterns, including microservices and serverless architectures.</li><li>Systematic problem-solving approach, coupled with effective communication skills and a sense of drive.</li><li>Previous work in highly regulated environments with security and compliance considerations.</li><li>Experience working in globally distributed teams with cross-functional collaboration.</li></ul>Work Location Assignment:&nbsp;Hybrid

1397 – Manager, Site Reliability Engineer

Our client’s&nbsp;Digital Quality (DQ) Solution Center delivers advanced solutions that revolutionize Quality, Safety and Environmental Operations within Pfizer Global Supply (PGS). The mission of the DQ Solution Center is to empower and optimize the performance of Laboratory (QC), Quality Assurance (QA), and Environmental Health &amp; Safety (EHS) organizations through the automation and implementation of innovative technologies, with a focus on continuous improvement and excellence. Their team philosophy is “Do good work” and as per Pfizer’s Purpose Blueprint, “Win the Digital Race in Pharma.”The Sr Associate, QA Solution Owner is responsible for co-leading an agile development team along with a Lead Product Owner to define and prioritize features along with developing user stories for the Veeva eQMS Solution.They will work within the eQMS team to help develop the technical strategy for moving the solution towards this vision. The colleague must have a strong CI and Innovative mindset and be comfortable taking appropriate risks to achieve desired results and drive the adoption of new technologies and processes for the solution.ROLE RESPONSIBILITIESThe Sr Associate, QA Solution Owner&nbsp;responsibilities include but are not limited to:<ul><li>Support Lead Product Owners for a new or existing eQMS module(s).</li><li>Lead coordination, documentation, refinement and communication with/for Lead PO on requirements from sites</li><li>Support Lead PO to gather business requirements. Capture both functional and non-functional requirements in a use case.</li><li>Support PO in serving as solution SME for sites and stakeholder conversations</li><li>Support PO to maintain and prioritize team user story, enabler &amp; defect backlog</li><li>Collaborate with the QA Technical leads to assess technology capabilities and architecture requirements in support of Lead PO</li><li>Collaborate and set expectations with business, scrum master and development team in support of Lead PO</li><li>Collaborate with Deployment lead on pre-deployment &amp; business alignment activities for the eQMS Solution in support of Lead PO</li><li>Collaborate with Analytics and Reporting team to align requirements</li><li>Demonstrate and promote agile ways of working</li><li>Conduct all activities and make decisions that are in accordance with Company policies &amp; SOPs, Pfizer Values, FDA &amp; global regulatory guidelines (including cGMP/cGLP/cGCP), environmental guidelines, as appropriate and where applicable etc.</li></ul>BASIC QUALIFICATIONS<ul><li>Bachelor’s BS in Information Technology, Engineering or related discipline.</li><li>2+ years of project management experience</li><li>Experience with Agile, (SAFe preferred)</li><li>Strong written and communication skills with the ability to effectively communicate to colleagues at all levels including executive levels</li><li>Experience in all stages of system and application lifecycle from value analysis, business case development, solution deployment through value realization</li><li>A basic understanding of system GMP requirements and demonstrable knowledge of computer system design and maintenance lifecycle in GMP environments.</li><li>Experience in MS Office Products (i.e. MS Word, Excel, PowerPoint, Access)</li></ul>PREFERRED QUALIFICATIONS<ul><li>Knowledge of the Veeva Platform</li><li>Knowledge of agile tools (i.e. Jira)</li></ul>NON-STANDARD WORK SCHEDULE, TRAVEL OR ENVIRONMENT REQUIREMENTSAbility to travel up to 20%.&nbsp;Ability to meet with colleagues virtually across different regions and time zonesWork Location Assignment:&nbsp;Hybrid

1394 & 1395 – Sr Associate, QA Solution Owner

The Scientific Computing Cloud Engineer will be responsible for developing and deploying supercomputing solutions in AWS supporting R&amp;D, Clinical, and Manufacturing teams globally. The successful candidate will be the primary High-Performance Computing (HPC) Cloud engineer. This role requires a deep understanding of both on-premises and cloud-based HPC systems, as well as strong project management skills. The ideal candidate will have a background in life sciences and computer science, with a focus on supporting computational biology applications and AWS engineering.Key Responsibilities<ul><li>Develop and deploy automated HPC workloads and workflows using AWS cloud services, including Parallel Cluster, FSx for Lustre, Batch, Terraform,&nbsp;&nbsp;and Cloud Formation.</li><li>Manage high-performance parallel file systems such as Weka, understanding data and storage workflows, movement, tiering, and tracking.</li><li>Act as the HPC data steward, ensuring data integrity and efficient data management practices.</li><li>Design, implement, and manage cost effective on-premises and HPC Cloud systems, including job schedulers (e.g., Slurm) and cluster management tools (e.g., Linux scripting,&nbsp;Ansible).</li><li>Architect and design HPC hardware and networking solutions, providing system troubleshooting and support for on-premises systems.</li><li>Develop and maintain web portals and sites to facilitate HPC resource access and management.</li><li>Lead and manage projects, ensuring timely and successful delivery of HPC solutions.</li><li>Collaborate with cross-functional teams to align HPC strategies with organizational goals.</li><li>Provide technical leadership and mentorship to junior engineers and team members</li><li>Document, train, and educate users on best practices. Level 3 engineering support for most challenging technical issues.</li><li>In this role, you will also be responsible for promoting a culture of excellence within the HPC team, fostering collaboration, innovation, and continuous improvement.</li></ul>QualificationsBasic Qualifications:<ul><li>Bachelor’s degree (BA/BS) in Computer Science, Engineering, Life Sciences, or a related field.</li><li>7+ years of professional experience, with a significant portion of that time spent in HPC, cloud engineering, or a related discipline.</li><li>Proven ability to understand and manage data and storage workflows, movement, tiering, and tracking.</li><li>Experience with on-premises and Cloud HPC systems, including job schedulers (e.g., Slurm) and HPC tools (e.g., Linux administration, Ansible,&nbsp;AWS Batch).</li><li>Strong understanding of cluster architecture, design, HPC hardware, and networking.</li><li>Excellent system troubleshooting and support skills for HPC Cloud systems.</li><li>Experience in supporting, deploying, and managing scientific applications (Linux/Windows)</li><li>Strong project management skills, with the ability to lead and manage complex technical projects.</li><li>Advanced certifications in AWS cloud services or HPC technologies.</li></ul>Preferred Qualifications:<ul><li>Advanced degree in Computational Biology, Computer Science, or a related field.</li><li>Extensive experience with AWS cloud services, particularly HPC services such as ParallelCluster,&nbsp;FSx&nbsp;for Lustre, Batch, AWS PCS, Terraform, and CloudFormation.</li><li>Experience with high-performance parallel file systems like Weka, storage gateway, data sync.</li><li>Experience in the life sciences field, particularly in computational biology.</li><li>Familiarity with a variety of programming languages and tools used in high-performance computing, such as Python,&nbsp;Java, C++, MPI, R, R Studio, Jupyter Hub, Docker/Singularity and Spack.</li><li>Excellent communication skills, with the ability to effectively convey technical information to a variety of audiences.</li></ul>

1372 – Sr. Manager, Scientific Computing Cloud Engineer

The IAS Team seeks a Senior Platform DevSecOps Engineer who will be responsible for supporting a portfolio of AI platforms focused on delivering conversational AI and language translation capabilities to Pfizer. As an Platform DevSecOps Engineer you will play a critical role in ensuring the security, reliability, and efficiency of their AI and machine learning products and platforms. You will work closely with their development, security, and operations teams to integrate security practices into every stage of the software development lifecycle. Your expertise will help them build and maintain robust, scalable, and secure AI Products.ROLE RESPONSIBILITIESThe Senior Platform DevSecOps engineer&nbsp;colleague’s responsibilities include but are not limited to:<ul><li>Support and Administration of key platforms related to Conversational AI and Language Translation capabilities</li><li>Lead lifecycle management activities related to upgrades, patches, hardware scaling and retirement</li><li>Foster a culture of continuous improvements across the CI/CD environment with integrated security practices.</li><li>Implement and maintain DevSecOps practices to ensure security is integrated into the CI/CD pipeline.</li><li>Automate security testing and vulnerability assessments within the development process.</li><li>Collaborate with development teams to design and implement secure coding practices.</li><li>Design, deploy, and manage secure cloud infrastructure for AI and machine learning applications.</li><li>Implement and manage security controls, such as firewalls, intrusion detection/prevention systems, and encryption.</li><li>Monitor and respond to security incidents and vulnerabilities in a timely manner.</li><li>Develop and maintain security policies, procedures, and documentation.</li><li>Work closely with cross-functional teams to assist in hosting and deploy AI and ML based products, pipelines and API services into Dev, Stage and Production.</li><li>Provide training and guidance to AI development and operations teams on DevSecOps best practices.</li><li>Continuously evaluate and improve security processes and tools.</li><li>Participate in incident response and post-mortem analysis to identify and address root causes.</li></ul>BASIC QUALIFICATIONS&nbsp;​<ul><li>BSc degree in Computer Science or Engineering is required. MSc is preferred.</li><li>7+ years of experience in deploying enterprise software solutions in private cloud environments or public cloud providers&nbsp;preferably AWS &amp; Azure as well as familiar with cloud architecture frameworks on AWS /Azure /GCP.</li><li>Familiar with AWS services Fargate /Lambda/Dynamo DB/EC2/S3).</li><li>Experience in building and managing production services using Kubernetes and Docker.</li><li>Proficient understanding of code versioning tools such as GIT.</li><li>Has owned systems and managed development of end-to-end applications.</li><li>Experience with production deployments of complex systems.</li><li>Experience with IaC tools like Terraform and Cloud Formation.</li><li>Basic Knowledge with generative AI services offered by several providers like AWS /Azure/GCP.</li><li>Experience with an industry accepted structured software development life cycle methodology.</li><li>Experience in supporting the development of complex software products including the deployment of multiple versions / releases of a large product.</li><li>Ability to contribute to technical specifications and technical design documentation for the software development team.</li><li>Familiar with ITIL framework.</li><li>Experience with monitoring tools like (Grafana /Dynatrace).</li><li>Experience with working in teams to address software defect analysis, troubleshooting, and resolution.</li><li>Proven ability in performance testing and optimization of developed source code for an enterprise business application.</li><li>Proven ability to work collaboratively with the software development team while driving software improvements.</li><li>Candidate must be an excellent communicator.</li></ul>GENERAL SKILLS REQUIREMENTSAdvisor/Consultancy:&nbsp;Provides well-informed advice, typically within a specific technical specialization, ensuring that it is properly understood and appropriately exploited, to enhance the effectiveness of significant activities.&nbsp;Provides advice on technical aspects of Conversational UI and ensures that relevant technical strategies, policies, standards and practices are applied correctly.Technical Acumen:&nbsp;Maintains knowledge of specific technologies provides detailed advice regarding their application, executes specialized tasks.Thought Leadership &amp; Advocacy:&nbsp;Develop awareness of industry developments and best practices Provide thought leadership in emerging technologies as they relate to AI and Conversational UIPresentation Skills:&nbsp;Ability to develop visually simple and appealing PowerPoint presentations and be comfortable with articulating and communicating with the right authority and messaging to a broad range of stakeholdersWork Location Assignment:&nbsp;Hybrid

1388 – Senior Manager, Platform DevSecOps Engineer

Our client is an established GameTech company that operates in several countries across Europe through its offices in Greece &amp; Malta. Licensed and regulated by MGA, ADM and HGC, and Irish Revenue Commissioners, They are committed to delivering the best sports betting and gaming experience to an ever-expanding customer base.Role:<ul><li>Building quality web and API applications in C# and .NET</li><li>Contribute to the technical design of the system and research new tools/technologies</li><li>Revising, updating, refactoring, and debugging code</li><li>Implementation of security and data protection</li><li>Integrating with other third-party services API’s</li><li>Being familiar with the Web (Http protocol and Restful API’s) how to consume and build API’s</li><li>Maintaining performant MS SQL databases</li><li>Taking part in team Code Reviews.</li></ul>Requirements:<ul><li>University and/or Postgraduate Degree in a relevant field</li><li>3+ years of relevant working experience, ideally within FinTech or Payment Solutions Companies</li><li>Focus on efficiency, user experience, and process improvement</li><li>Excellent time management skills</li><li>Ability to work independently and with a group</li><li>English language (both verbal and written)</li></ul>Skills:<ul><li>.Net Framework 4.6+, C# 6.0+, WebAPI, Entity Framework, LINQ</li><li>Experience in Microservices</li><li>Familiarization in message broker</li><li>Reactive programming code patterns</li><li>Clean, maintainable &amp; fault-tolerant code</li><li>Knowledge in .Net Core 2.2+ will be appreciated</li></ul> Let’s talk about us:<ul><li>Hybrid working model</li><li>A competitive salary</li><li>Signing Bonus</li><li>Brand new equipment</li><li>Exciting &amp; friendly work environment</li><li>Career &amp; competencies’ development</li><li>Continuous learning &amp; development experience based on infinity model through Code.Hub’s Code.Learn</li><li>L&amp;D plan for your career improvement</li><li>A truly open, inclusive, and competitive-free environment to grow your skills and have fun!</li><li>Internal competitions &amp; rewards.</li></ul> Let’s talk about Code.Hub-ers:<ul><li>You are eligible to free LinkedIn trainings</li><li>You are eligible to have free pass to all training Code. Learn activities after 6 months from your induction</li><li>Training &amp; Tech Mentor for your induction.</li><li>Sponsoring of a Bachelor and/or Master’s Degree from Athens Tech College.</li><li>Private Health Insurance.</li><li>Performance planning each six months and each two years planning of promotion.</li><li>Free Lunch/Snack every day &amp; Cocktail Fridays @ our offices.</li><li>Referral Bonus.</li></ul>

.Net Software Engineer

We are looking for an enthusiastic professional to join our friendly team of Business Intelligence experts. A Business Intelligence (BI) Analyst plays a crucial role in helping organizations make informed business decisions by collecting, analyzing, and presenting data.&nbsp;You will work on cutting-edge projects by&nbsp;designing and mapping data models to turn raw data into meaningful insights and&nbsp;utilize different tools to build interactive and visually appealing dashboards and reports. You will also be able to expand your knowledge in a pleasant and inspiring environment.The main responsibilities of the position include:<ul><li>Collect, process, and analyze large sets of data from various sources</li><li>Utilize BI tools and technologies to extract meaningful insights from raw data</li><li>Create and maintain dashboards, reports, and visualizations to communicate Key Business Metrics</li><li>Present findings and insights to key stakeholders in a clear and understandable manner</li><li>Collaborate with business users to understand their data and reporting needs</li><li>Translate business requirements into technical specifications for data analysis and reporting</li><li>Design and implement data models to support business reporting and analysis</li><li>Ensure data accuracy, consistency, and reliability</li><li>Identify trends and patterns in data to support forecasting and planning activities</li><li>Provide recommendations for business strategy based on data analysis</li><li>Develop and implement data governance policies and procedures</li><li>Ensure compliance with data privacy and security regulations</li><li>Stay informed about industry trends, emerging technologies, and best practices in BI</li><li>Recommend and implement improvements to existing BI processes and tools</li></ul>Main requirements:<ul><li>BSc/MSc in Computer Science, Physics/Science, Engineering, Mathematics or other relevant field</li><li>Strong analytical and problem-solving skills</li><li>Ability to interpret complex data sets and draw meaningful conclusions</li><li>Proficient in using BI tools (e.g., Tableau, Power BI, SAPBI)</li><li>Knowledge of database technologies (SQL, data warehouses) and data modelling</li><li>Excellent verbal and written communication skills</li><li>Ability to convey technical concepts to non-technical stakeholders</li><li>Ability to work collaboratively with cross-functional teams</li><li>Understanding of business processes and the ability to align BI solutions with organizational goals</li><li>Strong attention to detail to ensure accuracy in data analysis and reporting</li><li>Proactive attitude towards problem-solving and continuous improvement</li></ul>Benefit from:<ul><li>Attractive remuneration package</li><li>Private health insurance</li><li>Corporate pension fund</li><li>Intellectually stimulating work environment</li><li>Continuous personal development and international training opportunities</li></ul>

Business Intelligence Analyst

We are looking for an enthusiastic Junior Data Scientist to join the activities of our team. The candidate will have the opportunity to work on cutting edge projects by performing in-depth analysis on big data. The successful candidate will join a friendly team of leading experts in the field of Data Science and expand their knowledge in a pleasant and inspiring environment.The main responsibilities of the position include:<ul><li>Execute queries in both relational and non-relational databases.</li><li>Perform data cleansing and preprocessing.</li><li>Analyze and resolve data issues.</li><li>Perform ad-hoc reporting where is needed</li><li>Collaborate with cross-functional teams to understand business requirements.</li><li>Performing exploratory data analysis to identify patterns and trends.</li><li>Assess the performance of the models developed by the Data Scientists</li><li>Communicate results with the rest of the team&nbsp;</li></ul>Main requirements:<ul><li>University degree in Computer Science, Data Science or related field.</li><li>At least 1 year of experience with Python-based libraries, such as Pandas, NumPy and Polars for data wrangling and preprocessing.</li><li>Strong foundation in Python, with the ability to write clean and efficient code for production-ready projects and scalable solutions.</li><li>Fundamental knowledge or exposure to Machine Learning and Natural Language Processing (NLP) concepts.</li><li>Experience with data visualization tools and libraries in Python (e.g., Matplotlib, Seaborn, Plotly).</li><li>Willingness to learn and stay up to date with emerging data science trends and new technologies.</li><li>High attention to detail.</li><li>Ability to work in a team.</li><li>Strong analytical and problem-solving skills.</li><li>Self–motivation and passion to work with data.</li><li>Eagerness for continuous professional development.</li><li>Excellent verbal and written communication skills in English.</li></ul>The following will be considered an advantage:<ul><li>Familiarity with SQL queries. Experience with MongoDB queries and the aggregation framework.</li><li>Familiarity with Unix/Linux.</li><li>Basic understanding of AWS services</li></ul>Benefit from:<ul><li>Attractive remuneration package</li><li>Private health insurance</li><li>Corporate pension fund</li><li>Intellectually stimulating work environment</li><li>Continuous personal development and international training opportunities</li></ul>

Junior Data Scientist

We are seeking a Lead Data Scientist with expertise in behavioral analytics to drive data-driven strategies for client onboarding, engagement, retention, and personalization. You will analyze customer behavior, develop predictive models, and deliver insights that enhance the client journey.&nbsp; As a key leader, you will collaborate across teams, mentor data scientists, and shape customer-centric analytics. Your work will fuel growth, optimize user experiences, and drive impactful business decisions.&nbsp; Join us to transform client engagement through the power of data!&nbsp;The main responsibilities of the position include:<ul><li>Client Acquisition:&nbsp;Utilise advanced analytics, and predictive modeling to drive client acquisition strategies.&nbsp;&nbsp;</li><li>Client Onboarding Optimisation: Analyse user behavior during onboarding to identify friction points and improve the overall user experience.</li><li>Client Segmentation: Develop and refine data-driven segmentation models to categorize clients based on behavior, demographics, and engagement.</li><li>Churn Prediction: Build predictive models to identify at-risk customers and collaborate with business teams to develop effective retention strategies.</li><li>Recommendation Systems: Design and implement personalized recommendation algorithms to enhance client engagement and drive cross-sell and upsell opportunities.</li><li>Machine Learning &amp; AI Implementation: Leverage advanced machine learning techniques (supervised, unsupervised, and deep learning) to extract meaningful insights from client behavior data.</li><li>A/B Testing &amp; Experimentation: Design, execute, and analyze A/B tests to optimize processes and improve decision-making.</li><li>Data-Driven Decision-Making: Work closely with product, marketing, and business teams to integrate data-driven insights into strategic initiatives.</li><li>Big Data Processing: Manage large-scale datasets, ensuring data quality, efficient feature engineering, and seamless data pipeline integration.</li><li>Leadership: Mentor and guide multiple teams, fostering innovation and technical excellence.</li><li>Stakeholder Communication: Present insights and model outcomes to non-technical stakeholders, translating complex data into actionable recommendations.</li></ul>Main requirements:<ul><li>PhD or MSc in Data Science, Physics, Mathematics Computer Science or a related field&nbsp;</li><li>8+ years of experience in data science, with a focus on client behavior analytics. Experience within the fintech or e-commerce industry will be considered an advantage.&nbsp;</li><li>Hands-on experience with recommender systems (collaborative filtering, content-based filtering, hybrid models).&nbsp;</li><li>Strong experience with machine learning, deep learning, and statistical modelling.&nbsp;</li><li>Proven experience with big data analytics.&nbsp;</li><li>Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch) and SQL.&nbsp;</li><li>Experience with NLP/AI tools for customer interaction analysis.&nbsp;</li><li>Strong analytical and problem-solving skills.</li><li>Effective communication skills to convey data-driven insights.&nbsp;</li><li>Proven leadership, team coaching, and management skills</li><li>Fluency in English.&nbsp;</li></ul>Benefit from:<ul><li>Attractive remuneration package</li><li>Private health insurance</li><li>Corporate pension fund</li><li>Intellectually stimulating work environment</li><li>Continuous personal development and international training opportunities</li></ul>

Lead Data Scientist

We’re looking for a talented and driven Machine Learning Engineer to join our dynamic team and help build cutting-edge AI solutions. If you have a strong background in machine learning, data science, and software engineering and a passion for developing scalable, high-performance AI-driven systems, this is your chance to work on exciting challenges in a collaborative environment. Join us and be part of something amazing!The main responsibilities of the position include:<ul><li>Deploy machine learning models and integrate AI tools into production systems.</li><li>Optimise and fine-tune models for performance, scalability, and efficiency.</li><li>Collaborate with data engineers and data scientists to develop and maintain data pipelines, working with large datasets to prepare data for model training and evaluation.</li><li>Stay up to date with the latest advancements in machine learning and AI technologies.</li><li>Implement MLOps best practices for continuous integration, deployment, and monitoring of ML models.</li><li>Set up pipelines for A/B testing of different model variations to evaluate performance and enhance model effectiveness.</li></ul>Main requirements:<ul><li>BSc/MSc in Computer Science, Data Science, Machine Learning, or a related field.</li><li>3+ years of experience in machine learning/AI and DevOps/MLOps.</li><li>Strong programming background with proven experience in Python and other languages.</li><li>Experience with data structures, algorithms and ETL/ELT procedures.</li><li>Experience with machine learning libraries such as TensorFlow, PyTorch, and Scikit-learn.</li><li>Knowledge of containerization and model deployment using Docker.</li><li>Experience working with CI/CD pipelines using tools like Jenkins and GitLab CI.</li><li>Familiarity with task orchestration tools such as Airflow, Kubeflow, and MLflow.</li><li>Understanding of cloud computing platforms (AWS, GCP, or Azure) and big data ecosystems.</li><li>Experience with monitoring and logging solutions such as Prometheus, Grafana, CloudWatch, and the ELK Stack.</li><li>Strong problem-solving skills and the ability to work in a collaborative team environment.</li><li>Fluency in English Language</li></ul>Benefit from:<ul><li>Attractive remuneration package</li><li>Private health insurance</li><li>Corporate pension fund</li><li>Intellectually stimulating work environment</li><li>Continuous personal development and international training opportunities</li></ul>

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