Data Scientist

Data Scientist – GenAI / Azure / PySpark We are looking for a Data Scientist with strong engineering capabilities and hands-on experience in Generative AI solutions. The role combines work on modern AI functionalities (LLM, RAG, Agentic AI) with data engineering and production-grade development within the Azure ecosystem. You will work closely with cross-functional teams to build scalable, high-quality AI and data solutions used in real business environments. Main Responsibilities Develop and enhance functionalities related to Data Science and Generative AI, including: chatbots, Agentic AI solutions, RAG / GraphRAG implementations Improve and optimize existing PySpark/Python code to ensure performance, maintainability, and alignment with coding standards Develop and maintain data pipelines using Azure technologies: Azure Data Factory (ADF), Azure Databricks, SQL, Azure Data Lake Storage (ADLS) Perform robust data analysis, transformation, and interpretation Collaborate closely with Consumption/API teams to integrate developed solutions and ensure compliance with engineering standards Promote coding best practices and contribute to technical improvements across the team Proactively identify opportunities to optimize Data Science solutions and services Required Skills Strong hands-on experience with: Python, PySpark, SQL Practical experience with Generative AI: LLMs, prompting techniques, RAG / GraphRAG, Agentic AI concepts Experience with Azure ecosystem: ADF, Databricks, SQL Server, ADLS Experience in data analysis, transformation, and modelling Experience working with shared repositories and collaborative development: Git / GitHub Understanding of scalable and maintainable data solution design Nice to Have Experience with Neo4j, Cypher, knowledge graphs, or graph databases Experience working in Agile/Scrum environments Familiarity with Azure DevOps What We’re Looking For We are looking for someone who combines: strong engineering mindset, hands-on AI/LLM experience, and the ability to build scalable, production-ready solutions. This is not a purely research-oriented Data Scientist role — we are looking for someone comfortable working close to production systems and modern cloud-based data platforms. Additional Information International environment Long-term cooperation Hybrid work model