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Senior Data Scientist

SGI
London
2 weeks ago
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Senior Data Scientist

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Senior Data Scientist – Gaming | London (Hybrid/Remote)

Up to £120k + equity
London HQ | Hybrid (2–3 days/month in office)
High-growth startup | Backed by Tier-1 VCs

We’re hiring a Senior Data Scientist for a high-impact role at the intersection of AdTech and gaming. This is a rare chance to join a team solving billions in wasted UA spend with investment-grade ML models and petabyte-scale data.
Whether your background is in programmatic advertising, mobile user acquisition, or gaming analytics, you’ll be building the models that drive smarter spend, deeper insights, and better business outcomes.

What You’ll Do:

  • Develop ML models for LTV prediction, user acquisition optimisation, and forecasting.
  • Lead modelling initiatives from design to deployment.
  • Work on real-world problems in AdTech, mobile gaming, or both.
  • Explore new data sources and signals to improve model performance.
  • Partner with engineers, PMs and commercial teams to deliver measurable impact.

You’ll Need:

  • 5+ years in data science or ML roles, ideally within AdTech or gaming.
  • Strong coding skills in Python, SQL, and modern ML libraries (XGBoost, PyTorch, etc.).
  • Experience with time-series modelling, UA data, or predictive analytics.
  • A creative, proactive mindset and a commercial eye for how data drives outcomes.
  • Bonus: Experience in mobile games, DSPs, RTB, or performance marketing analytics.

Why Apply?

  • Tackle real, large-scale problems in AdTech/gaming with ML that matters.
  • Join a well-funded, low-ego startup with tier-1 investors and proven leadership.
  • Shape the future of data-driven decision making in digital media.
  • Flexible hybrid working and strong equity offering.

Interested in learning more?

Let’s talk. Or send someone my way who fits the bill!

contact:

#DataScience #AdTech #Gaming #MachineLearning #Hiring #Startups #LTV #UserAcquisition #Programmatic #LondonTech















Seniority level

  • Seniority levelNot Applicable

Employment type

  • Employment typeFull-time

Job function

  • Job functionInformation Technology
  • IndustriesAdvertising Services and Spectator Sports

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