Data Scientist

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.

• 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

• 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