Senior Data Scientist

Franklin Fitch
City of London
1 week ago
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đź’Ľ Position: Senior Data Scientist

đź’µ Salary: ÂŁ70,000 - ÂŁ80,000 base + 12% flexible benefits

🌍 Location: London, UK (Hybrid – 3 days in office, 2 remote)


An FTSE-listed global FinTech company is looking to hire a Senior Data Scientist in their Trading & Operations function, with deep experience leading high‑impact data science projectsend‑to‑end, from problem framing and exploratory analysis through modelling, experimentation and working with MLE.


You’ll collaborate with data engineering, platforms, web, messaging, analytics, marketing, risk and product. This is a key senior hire, driven by strong and growing demand for data science across the business.


What you'll be doing:

  • Lead end-to-end data science projects: problem framing, EDA, modelling, experimentation, and working with MLEs to deploy into production
  • Apply statistics, A/B testing and causal inference to inform product, growth, commercial and risk decisions
  • Work with diverse structured and unstructured data across client behaviour, operations and financial domains
  • Build advanced models and data products, including customer and growth models, recommendation systems, gradient boosting & ensemble methods, NLP / text analytics, time-series forecasting, & generative AI use cases
  • Monitor model performance and design experiments tied to clear hypotheses
  • Translate ambiguous business questions into measurable, actionable solutions
  • Coach and mentor junior data scientists, raising the bar on technical quality, delivery and communication


What we’re looking for:

  • 5+ years’ experience applying data science and ML to real-world business problems
  • Strong grounding in statistics, experimentation and analytical reasoning
  • Proven experience building predictive models and taking them to production
  • Ability to communicate complex analysis clearly to non-technical stakeholders
  • Comfortable working with imperfect, large-scale data in a fast-moving environment
  • Strong Python and SQL skills
  • Cloud experience (ideally GCP, but transferable skills welcomed)


Nice to have:

  • Experience in financial services (not essential — support and training provided)
  • Exposure to marketing analytics or MMM projects
  • Master’s level education in Data Science, Machine Learning or a related field


What’s in it for you:

  • Competitive base salary + 12% flexible benefits
  • Private medical cover (including family)
  • Life insurance
  • Gym contribution
  • 25 days holiday + birthday off + 2 volunteering days (28 total)
  • Buy/sell holiday options
  • Unlimited access to an online learning platform


Don't miss out on this incredible career opportunity! Apply now to become part of a dynamic team, or send an up-to-date resume to the details below.


+1 212 970 7603

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