Senior Data Scientist

Noggin HQ; Newcastle upon Tyne; On-site; GBP 50,000 - 70,000; Full time

Benefits offered by this job

25 days holiday + bank holidays

Company-wide bonuses

Learning and development opportunities

Job summary

A VC-backed financial technology company in Newcastle upon Tyne seeks an experienced Data Scientist. The role involves designing, building, and maintaining machine learning models for credit scoring. You will collaborate with software engineers and own model lifecycle management. The ideal candidate has over 5 years of experience, preferably with Open Banking data. This position offers learning opportunities, competitive holidays, and performance-based pay increases.

Qualifications

• 5+ years of commercial experience as a Data Scientist building machine learning models.
• Experience with Open Banking data and building consumer credit risk scorecards preferred.
• Domain relevant experience in FCA/PRA regulated firms, including banks, lenders, or credit risk companies.

Responsibilities

• Design, build, and maintain machine learning models for credit decisioning.
• Collaborate with software engineers to deploy models in production.
• Own model lifecycle management and monitor performance.

Skills

Building machine learning models

Collaboration with software engineers

Model lifecycle management

Communication skills

Time management

AWS/GCP

Python

Docker

Kubernetes

Git

Flask/Fast API

Tools

Python

AWS

GCP

Docker

Kubernetes

Git

Flask

Fast API

Job description

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.

Role Description

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

Experience and skills

• 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.

How we work

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