Main tasks:

Develop functionalities around Data Science /Generative AI (chat bot, Agentic AI, RAG / GraphRAG)
Improve existing Pyspark/Python code to make it more performant and in line with the coding standards.
Develop and maintain data pipelines with Azure stack (ADF, Databricks, SQL, ADLS)
Conduct robust data analysis
Work with Consumption Team and integrate code with API they develop. Make sure that code meets all their standards and requirement.
Promote coding standards amongst the Team and propose the most optimal and efficient solutions.
Collaboratively identify and ideate opportunities to continuously improve Data Science Team solutions and services it provides to consumers

Primary skills:

Working experience and proficiency in Pyspark, Python and SQL.
Knowledge and experience in Generative AI (LLM models, prompting techniques, RAG/GraphRAG solutions)
Experience in Azure stack (ADF, Databricks, SQL Server, ADLS)
Experience in analysing, transforming, manipulating and interpreting data.
Collaborative working/development using shared code repositories (Git/GitHub)
Experience analysing, transforming and modelling data structures.

Good to have skills:

Experience working with agile and scrum tools (Azure DevOps)
Experience working with knowledge graphs / graph databases and technologies: Neo4j / Cypher

Data Scientist