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Senior Data Scientist - Product Analytics (Integrity / Appeals Focus) - Global MediaTech

Principle

London

Remote

GBP 135,000

Full time

3 days ago
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Job summary

A leading company in the global media technology sector is looking for a Senior Data Scientist with a focus on product analytics. This fully remote role entails extensive collaboration with teams to ensure data-driven decisions influence product, engineering, and regulatory compliance. Ideal candidates will have over 10 years of experience and strong SQL skills, contributing to significant product initiatives with real-world impact.

Qualifications

  • 10+ years of relevant, hands-on experience in data science.
  • Strong SQL skills, hands-on not oversight.
  • Proven experience in product experimentation (A/B testing).

Responsibilities

  • Define and evolve metrics and success criteria.
  • Support experimentation and opportunity sizing.
  • Drive data strategy for product decisions.

Skills

SQL
Data storytelling
Product experimentation
Data analysis

Job description

Senior Data Scientist - Product Analytics (Integrity / Appeals Focus) - Global MediaTech
Senior Data Scientist - Product Analytics (Integrity / Appeals Focus) - Global MediaTech

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This range is provided by Principle. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

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Connecting Top Tech Talent with Leading Firms | 20+ Years in Digital Recruitment | Ethical, Direct, Results-Driven
  • The role: Senior Data Scientist – Product Analytics (Integrity / Appeals Focus)
  • Location: Fully remote WITHIN the London / South East UK regions
  • Salary: £135k basic per annum + benefits (PAYE, paid weekly, within IR35)
  • Duration: Until end of Dec 2025 - with a very strong possibility of extension (you'll be available with MAX 4 weeks notice)

*** You must be fully clear to work in the UK with no visa/relocation requirements ***

Please read & understand before applying – absolute non-negotiable's:

  • You must have 10+ years of relevant, hands-on experience; you must be a true senior, not someone fresh from uni or on their first data gig
  • Strong SQL – this is a hands-on role, not an oversight one
  • Proven product experimentation experience (A/B tests, uplift modelling, success metrics)
  • Able to shape and deliver clear, insight-led data narratives that influence product, engineering and senior leadership

This isn’t a machine learning modelling role – it’s a product-focused analytics role supporting teams who build user-facing enforcement and appeals tools across major platforms. You’ll be operating at the sharp end of the business, where data drives user outcomes, platform safety, revenue impact, and regulatory compliance.

You’ll be partnering closely with engineers, product managers, and designers to:

  • Define and evolve the right metrics and success criteria
  • Build measurement frameworks for high-impact features
  • Support experimentation and opportunity sizing
  • Identify system gaps, drop-offs and user pain points through deep analysis
  • Drive data strategy behind major product decisions and roadmap direction
  • Contribute to work presented at director level (and above)

The bar is high because the impact is real! This role sits at the intersection of regulation, revenue, and platform integrity. You’ll be helping shape how millions of user and advertiser accounts are treated, appealed, and reinstated — at a scale few companies deal with.

If you’ve worked in large-scale B2C or platform environments, can hold your own with product and engineering teams, and know how to turn messy data into insight and direction — we’d like to hear from you.

Interested?

Apply now with your latest CV and we’ll take it from there. Hurry; deadline is in 3 days

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Contract
Job function
  • Job function
    Information Technology, Consulting, and Engineering
  • Industries
    Data Infrastructure and Analytics, IT System Data Services, and Technology, Information and Media

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