Data Scientist (Analytical Focus) – Regulatory Data Hub

The Opportunity

We’re looking for a Data Scientist with strong analytical and data engineering capabilities to join a Regulatory Data Hub initiative.

In this role, you will play a key part in delivering trusted, standardised, and compliant regulatory data across the organisation. You’ll focus on building and optimising data transformation pipelines while ensuring high-quality data through robust quality control frameworks. This is an excellent opportunity to work at the intersection of data engineering, analytics, and emerging technologies such as Machine Learning and LLMs.

What You’ll Do

• Design, build, and maintain data transformation pipelines, including mapping logic and configuration
• Collaborate with data analysts and other data scientists to define and refine mapping requirements
• Develop and test mapping functions, ensuring accuracy and performance
• Design and implement quality control pipelines to validate data transformations
• Partner with Data Analysts, Data Domain Leads, and Data Governance teams to maintain and enhance data quality frameworks
• Configure and optimise tools supporting data validation and monitoring
• Provide guidance on incorporating Machine Learning and LLMs into transformation workflows

Key Deliverables

• High-quality, production-ready code for mapping functions, aligned with DataOps best practices
• Well-defined and maintained mapping configurations
• Comprehensive, documented quality control pipeline designs
• Effective implementation and configuration of data validation tools
• Accurate task estimates and delivery tracking via Jira
• Pilot initiatives exploring ML/LLM integration within data pipelines

What We’re Looking For

Essential:

• Bachelor’s degree in Data Analytics, Computer Science, or a related field
• 5+ years’ experience working with data transformation pipelines / ETL processes
• Hands-on experience implementing Machine Learning or LLMs within production pipelines
• Strong technical expertise in Python and Databricks
• Excellent analytical thinking and a strong focus on data quality and validation

Desirable:

• Experience with data quality frameworks/tools such as SODA
• Familiarity with working in regulated or data-governed environments

Why Apply?

This is an exciting opportunity to contribute to a high-impact regulatory data programme, helping shape how critical data is managed, validated, and leveraged across the organisation. You’ll work with modern technologies and play a key role in driving data quality, innovation, and AI adoption.