Data Scientist

Job Description

With recent significant investment and a strong focus on machine learning-driven credit decisions, our FS client is currently expanding their team and looking for talented data scientists to join them.

They offer hybrid and remote-first work, with their engineering and data teams officially based in London but flexible depending on experience level.

Their hiring bar is high, but they foster an incredible data-driven culture, operating in cross-functional agile teams of 5-6 members.

They are particularly interested in candidates with:

1. A strong academic background (Maths BSc + MSc but open to others)
2. 3+ years of commercial experience in data science
3. Strong skills in probability, statistics, and mathematical modelling
4. Proficiency in Python, Pandas, NumPy, SciPy, R, and other scientific computing tools
5. Experience implementing data-driven solutions in a production environment
6. Hands-on expertise with statistical modelling, feature engineering, and A/B testing
7. Experience with machine learning model development, including Bayesian methods and stochastic processes
8. Understanding of financial modelling concepts, deterministic cash flow calculations (a plus, but not required)
9. A research-driven mindset, with the ability to translate complex mathematical concepts into real-world applications

They are offering competitive salaries plus excellent benefits. The interview process includes a quick test, a take-home task, and discussions with the hiring team.

Would love to share more details—let me know if you’d be open to a quick chat!

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