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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Senior Data Scientist employer: trg.
As a Lead Data Engineer at our innovative AI startup in London, you'll be at the forefront of building cutting-edge data architecture from scratch, with direct access to the founders and significant influence over the product roadmap. We foster a dynamic work culture that values creativity and ownership, offering meaningful equity and the opportunity to shape the future of a disruptive technology in a rapidly evolving market. Join us for a rewarding career where your contributions will directly impact our success and growth.
