Senior Data Scientist

trg.

Greater London

Hybrid

GBP 60,000 - 100,000

Full time

6 days ago
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Job summary

trg. is seeking a Senior Data Scientist in London to own a flagship valuation model used by major lenders. You will work in a collaborative data science team, keep live models performing, and push accuracy through new data and techniques.

The role requires strong Python, ML libraries, Docker, AWS, and a practical R&D mindset. Hybrid London work arrangement (3 days on site) with up to £100,000 base plus bonus.

Qualifications

  • An advanced degree in Computer Science, Mathematics, Physics or another quantitative discipline.
  • Strong Python skills, writing stable, scalable and maintainable code.
  • Experience with scikit-learn, pandas, NumPy, LightGBM and PyTorch.
  • An R&D mindset: forming hypotheses, running rigorous experiments and drawing sound conclusions.
  • Comfort with Docker and containerised applications.
  • Experience with AWS or a similar cloud platform.
  • Solid understanding of the ML lifecycle, including CI/CD, Git, testing frameworks and MLOps (nice to have).
  • Experience delivering ML in regulated environments, including Model Risk Management, governance or explainability (nice to have).

Responsibilities

  • Own a flagship valuation model used by major lenders.
  • Keep live models performing at their best.
  • Research new data and techniques to push accuracy further.
  • See improvements go into production.

Skills

Python
Scikit-learn
Pandas
NumPy
LightGBM
PyTorch
Docker
AWS
R&D mindset
CI/CD
Git
MLOps

Education

Advanced degree in CS/Math/Physics or quantitative

Tools

Docker
AWS
Git
CI/CD tooling
MLOps tooling

Job description

London (Hybrid, 3 days on site) | Up to £100,000 + Bonus | Three Stages

The company

Our client is an established, market-leading technology business. Their data and modelling products support critical risk and decision-making processes for some of the UK’s largest organisations, and they’ve built a strong reputation for accuracy and innovation.

The role

You’ll join a collaborative data science team as a Senior Data Scientist, taking ownership of a flagship valuation model used by major lenders. You’ll keep live models performing at their best, research new data and techniques to push accuracy further, and see your improvements go straight into production.

What you’ll bring
  • An advanced degree in Computer Science, Mathematics, Physics or another quantitative discipline
  • Strong Python skills, writing stable, scalable and maintainable code
  • Experience with scikit-learn, pandas, NumPy, LightGBM and PyTorch
  • An R&D mindset: forming hypotheses, running rigorous experiments and drawing sound conclusions
  • Comfort with Docker and containerised applications
  • Experience with AWS or a similar cloud platform
Nice to have:
  • Solid understanding of the ML lifecycle, including CI/CD, Git, testing frameworks and MLOps
  • Experience delivering ML in regulated environments, including Model Risk Management, governance or explainability, is a strong plus

Please note: sponsorship is not available for this role.

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