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fanvue

Senior Data Scientist

Posted 2 Days Ago
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UK
Senior level
UK
Senior level
As a Fraud Data Scientist, you will design and execute fraud prevention models, build in-house detection systems, and collaborate with teams for strategy and insights.
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Join us in redefining the creator economy with AI

Fanvue is the fastest-growing creator monetisation platform in the creator economy. We are the leading AI-powered creator-first platform, designed to empower creators worldwide to directly monetise their audience. We’re on a mission to redefine the creator economy by empowering creators to connect, share, and earn more efficiently.

🎯 The Role

As our first Fraud Data Scientist, you will be the driving force behind the design and execution of our fraud prevention and detection models. This is a greenfield opportunity to build the foundations of our in-house fraud data science function, directly shaping strategy, processes, and outcomes. You’ll sit within the fraud team, working closely with data engineers and stakeholders across compliance, product, and business units.

Your work will be central to defining how we fight fraud, creating models that deliver both immediate results and long-term scalability.

🚀 What You’ll Do
  • Define the roadmap for fraud data science, including KPIs and success metrics.

  • Assess existing fraud data, identify gaps, and build a “data wishlist” for future needs.

  • Reduce reliance on external fraud models by developing our first in-house models.

  • Build, train, and maintain fraud detection models tailored to our business.

  • Work strategically with data engineers to clean, organise, and structure large, messy datasets.

  • Ensure models are adaptive, continuously retrained, and aligned to evolving threats.

  • Act as a partner to compliance, product, and leadership on fraud strategy.

  • Communicate insights clearly to both technical and non-technical stakeholders.

  • Contribute to fraud policy, process design, and wider risk frameworks.

👀 Who You Are
  • Extensive in data science, ideally within fraud, AML, risk, compliance, or payments (fintech/insurtech welcome).

  • Strong in Python/R, SQL, and machine learning frameworks. Comfortable handling unstructured, high-volume datasets.

  • Analytical, intellectually curious, able to zoom in on data and zoom out to strategy.

  • Confident communicator with proven stakeholder management.

  • Thrives in a start-up/scale-up environment where autonomy and ownership are key.

✨ You’ll Thrive Here If:
  • You’re excited by greenfield opportunities and building from scratch.

  • You don’t need to be told what to do — autonomy is empowering, not confusing.

  • You love turning messy data into intelligent, scalable models.

  • You can flex between technical detail and strategic vision.

⚠️ You’ll Struggle Here If:
  • You rely on micromanagement to perform at your best.

  • You shy away from ambiguity or messy datasets.

  • You’re uncomfortable defending your strategic and technical choices.

🌍 Why Join Us?
  • Named one of The Sunday Times Best Places to Work 2025

  • Competitive salary, equity, and benefits package

  • Chance to shape a critical area of a category-defining platform

  • Work with a talented, mission-driven team dedicated to empowering creators worldwide

  • A culture that values innovation, ownership, transparency, and speed

  • Unlimited holiday

  • Remote working, with an office in Canary Wharf when you fancy it

  • Flexible hours, according to when you perform best

  • Budget for growth and wellbeing

Top Skills

Python,R,Sql,Machine Learning Frameworks

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