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Jobs / FairPlay Sports Media / Data Scientist
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Posted 2026-08-11

Data Scientist

Description

FairPlay Sports Media is seeking an inquisitive and impact-driven Data Scientist to join the Analytics team. In this role, the individual will translate complex, unstructured data into actionable strategic directions that drive the core business forward.

The Data Scientist will partner closely with Product, Engineering, Marketing, and Operations to build predictive frameworks and discover growth opportunities.

Responsibilities
  • Design, execute, and analyze rigorous A/B and multivariate tests to measure feature performance, user retention, and business impact.
  • Build, validate, and maintain scalable predictive models, such as churn, forecasting, customer lifetime value, and user segmentation, to guide business decisions.
  • Deep dive into large, complex datasets to identify trends, user behavioral patterns, operational bottlenecks, and unexpected growth opportunities.
  • Establish and standardize key features to track for modelling and customer data platform.
  • Partner with product managers, executive leadership, and business stakeholders to turn open-ended questions into structured quantitative analyses.
  • Design, deploy, and manage autonomous AI agents that automate repetitive analytics tasks and generate insights.
  • Partner with Data Engineering to curate analytical datasets, build clean data transformations, and uphold data governance standard practices.
Requirements
  • Advanced SQL proficiency in writing optimized, complex queries across large cloud data warehouses (required).
  • Strong proficiency in Python for statistical modeling, forecasting, and machine learning (required).
  • Deep understanding of statistical inference, regression analysis, probability theory, decision trees, and hypothesis testing (required).
  • Hands-on experience building interactive dashboards using tools like Power BI, Looker, or Python libraries (required).
  • 3+ years of experience in a quantitative analytics or data science role in a fast-paced environment (required).
  • Demonstrated track record of framing business problems into mathematical or statistical frameworks and outputting actionable recommendations (required).
  • Ability to distill complex statistical concepts into clear, plain language for non-technical executives (required).
  • Experience with data building tools (i.e. Dataform) for data transformation workflows (nice-to-have).
  • Experience with digital product analytics tools (i.e., Google Analytics) (nice-to-have).
  • Experience with AI Agents i.e, Vertex AI (Gemini Enterprise Agent Platform) (nice-to-have).
About FairPlay Sports Media

FairPlay Sports Media is a global sports media network that builds and engages communities of sports fans and bettors to create value for its betting, advertising and media partners. Previously known as Oddschecker Global Media, it rebranded in 2024 and traces its origins to oddschecker, which launched in 1999. Its portfolio includes oddschecker, WhoScored, vime, the Confido Network and CasinoSmash, processing around 100 million data updates per week and reaching over 100 million unique users monthly. Headquartered in London, the group works with more than 100 partners worldwide.

Read more about FairPlay Sports Media →

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