Data Scientist - Product Analytics - SQL / Python / R

Principle HR
City of London
3 months ago
Applications closed

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Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

If you're looking for a Data Science role where your work influences real product decisions at scale, not just dashboards, then this will interest you. This team sits right at the intersection of product, engineering, and high-touch support, shaping how features are measured, launched, and improved.

What you'll be doing

You'll be digging into large, complex datasets to uncover patterns, build statistical and ML models, and translate your findings into product-level insights. Expect a mix of analysis, experimentation, metric design, and stakeholder partnership.

A typical week might include:
  • Defining success metrics for new product features
  • Analysing the impact of launches with engineering
  • Working with product managers to shape roadmap decisions
  • Bringing clarity to ambiguous problem spaces where data isn't neatly packaged
  • Communicating insights to non-technical audiences without the jargon
What's in it for you
  • Annual Salary up to £90,000 PAYE (Inside IR35, PAYE, paid weekly)
  • Hybrid: 3 days onsite in Central London
  • 12-month contract with potential to extension
  • Work that drives product strategy, AI measurement, and feature-level decision-making
What you need to bring
  • 5+ years as a Data Scientist - if your experience is primarily reporting or dashboarding, this won't be the right fit
  • Strong hands‑on experience with Python, R, and SQL
  • Solid grounding in statistical modelling and machine learning
  • Experience partnering directly with product teams
  • Ability to turn complex technical concepts into clear narratives
  • Comfortable operating in a fast‑moving environment with ambiguity
Nice to have
  • Experience in support or integrity teams
  • Data engineering exposure
  • Strong influencing and stakeholder skills
Interested?

Send over your CV if this sounds like your next step or ask me if you're unsure, and I'll tell you straight.


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