Senior Data Scientist

Noggin HQ is a VC-backed financial technology company based in Newcastle upon Tyne. Our mission is to build state of the art models that reshape credit scoring in a fairer and smarter way.

To succeed in this role, you must enjoy a fast-paced, high-execution culture, and maintain exceptional standards at a critical stage. In particular, you will:

• Design, build, and maintain machine learning models for use in credit decisioning.
• Collaborate with software engineers in deploying the models into production environments.
• Own model lifecycle management and model performance monitoring that is delivered to the board.
• Use Open Banking transaction data to develop innovative credit risk solutions, fraud risk solutions and affordability solutions for our customers (lenders).
• Collaborate closely with the Founders, Senior Leadership Team, and Technical Team, to shape the product roadmap.
• Be a self‑starter who can take real ownership and responsibility for their work and objectives, be highly organised and have excellent communication & time management skills.
• AWS/GCP
• Python - Preferred
• Docker Preferred or Kubernetes
• Git
• Flask or Fast API

• 5+ years of commercial experience as a Data Scientist building machine learning models.
• Previous commercial experience with Open Banking data and building consumer credit risk scorecards preferred.
• Domain relevant experience, e.g., have worked at an FCA/PRA-regulated firm, including banks, lenders, financial data companies, credit risk companies, Credit Reference Agencies.
• Comfortable with AWS and Cloud Infrastructure.
• Understand ISO 27001 requirements.
• There are significant opportunities for progression and pay increases throughout the year, depending on performance, contribution and impact.
• Learning and development opportunities, where relevance is evidenced, can be paid for by the company.
• 25 days holiday + bank holidays.
• Company-wide bonuses should commercial targets be hit.

We have an office based in Newcastle upon Tyne, and as such, thoroughly encourage candidates to apply who live in the North East.