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
Data Scientist
Data Scientist