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EY.ai Data Marketplace is looking for a proactive, dynamic, and adaptable team member to join our Team (Data Science Team). EY.ai Data Marketplace's vision is to be EY's main centralized supplier of external commercial and open data for engagement teams, products, and platforms, enhancing EY's AI and data capabilities to strengthen its position as a trusted advisor. Its purpose is to fulfil EY's Service Lines' needs for non client data by: Creating a diverse range of data products; Delivering data products cost effectively and for reuse; Ensuring easy accessibility of data products; Enhancing discoverability and description of data products; Efficiently governing data products. The new member will join our diverse and inclusive team, based around the world, to work in an agile and high performance environment to expand and promote our product and the services we offer to our consumers.
Job Responsibility
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
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
Requirements
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
Nice to have
Experience working with agile and scrum tools (Azure DevOps)
Experience working with knowledge graphs / graph databases and technologies: Neo4j / Cypher