We are seeking an inquisitive and impact-driven Data Scientist to join our Analytics team. In this role, you won't just build models—you will translate complex, unstructured data into actionable strategic directions that drive our core business forward. You will partner closely with Product, Engineering, Marketing, and Operations to build predictive frameworks, and discover growth opportunities.
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Key Responsibilities
Experimentation & A/B Testing: Design, execute, and analyze rigorous A/B and multivariate tests to measure feature performance, user retention, and business impact.
Predictive Analytics & Machine Learning: Build, validate, and maintain scalable predictive models (e.g., churn, forecasting, customer lifetime value (CLV) and user segmentation) to guide business decisions.
Exploratory Data Analysis: Deep dive into large, complex datasets to identify trends, user behavioral patterns, operational bottlenecks, and unexpected growth opportunities.
Features Definition & Measurement: Establish and standardize key features to track for modelling and customer data platform .
Cross-Functional Strategy: Partner with product managers, executive leadership, and business stakeholders to turn open-ended questions into structured quantitative analyses.
Analytics AI Agents: Design, deploy, and manage autonomous AI agents that automate repetitive analytics tasks and generate insights.
Data Pipelines & Quality Assurance: Partner with Data Engineering to curate analytical datasets, build clean data transformations (dataform/SQL), and uphold data governance standard practices.
Qualifications & Skills
Technical Competencies
Advanced SQL: Highly proficient in writing optimized, complex queries across large cloud data warehouses (e.g., Snowflake, BigQuery).
Programming & Modelling: Strong proficiency in Python for statistical modeling, forecasting, and machine learning.
Statistics & Math: Deep understanding of statistical inference, regression analysis, probability theory, decision trees, and hypothesis testing (p-values, confidence intervals, Bayesian testing etc.).
Data Visualization: Hands-on experience building interactive dashboards using tools like Power BI, Looker, or Python libraries.
Experience & Soft Skills
Experience: 3+ years of experience in a quantitative analytics or data science role in a fast-paced environment.
Business Acumen: Demonstrated track record of framing business problems into mathematical/statistical frameworks and outputting actionable recommendations.
Communication: Ability to distill complex statistical concepts into clear, plain language for non-technical executives.
Nice-to-Haves
Experience with data building tools (i.e. Dataform) for data transformation workflows.
Experience with digital product analytics tools (i.e., Google Analytics).
Experience with AI Agents i.e, Vertex AI (Gemini Enterprise Agent Platform)
Skills Required
- Advanced SQL for large cloud data warehouses
- Proficiency in Python for statistical modeling and machine learning
- Design, execution, and analysis of A/B and multivariate tests
- Experience building and validating predictive models (churn, forecasting, CLV, segmentation)
- Deep understanding of statistical inference, regression, hypothesis testing, Bayesian methods
- Experience building interactive dashboards (Power BI, Looker, or Python visualization libraries)
- 3+ years in a quantitative analytics or data science role
- Ability to communicate complex analyses to non-technical executives and stakeholders
- Experience with data transformation workflows and partnering with Data Engineering (data governance, dataform/SQL)
- Experience with Dataform for data transformation workflows
- Experience with digital product analytics tools (Google Analytics)
- Experience designing, deploying, or managing AI agents (e.g., Vertex AI / Gemini Enterprise Agent Platform)
What We Do
FairPlay Sports Media is a global technology-driven media network and BetTech infrastructure provider that empowers betting operators, media publishers, and rights holders to monetize sports engagement beyond passive advertising. Backed by Bruin Capital and led by Group CEO Stuart Simms, we are redefining the relationship between sports media and betting. We are not a traditional affiliate network; we are the AI-powered operating system for the regulated sports betting industry. By combining 25 years of proprietary betting data with advanced Agentic AI and Managed Trading Services, we bridge the gap between fan engagement and commercial transaction; turning passive viewers into high-value, revenue-generating customers. From "Renting Audiences" to "Owning Outcomes" C-Suite leaders face a "Commodity Trap" with inefficient AdTech. We solve this with our "Virtuous Circle" methodology, which fuses: First-Party Data: Real-time behavioral insights from over 100 million monthly unique users. Agentic AI: Autonomous predictive models (via FairPlay AI, formerly Quarter4) that identify high-intent betting moments. BetTech Connectivity: Low-latency OddsGrid APIs and white-label widgets that increase Yield (RPM). The result? We help partners significantly reduce Cost Per Acquisition (CPA), extend Lifetime Value (LTV), and ensure rigorous compliance across regulated markets (UK, Europe, US). The Tech Stack: Powered by "Teammate" & OddsGrid Our proprietary stack integrates seamlessly into partner ecosystems: FairPlay AI & "Teammate": Our Generative AI assistant acts as a 24/7 betting analyst, leveraging neural networks to generate probability-based predictions that drive retention. OddsGrid: Processing 100 million data updates weekly, our pricing engine provides the industry's most robust real-time data feeds. Managed Trading: We act as an extension of your team, optimizing risk and pricing to maximize commercial performance. Our Network Previously Oddschecker Global Media, our portfolio; including oddschecker, WhoScored, SuperScommesse, Confido Network, and CasinoSmash, serves as the data engine for our B2B infrastructure.
Why Work With Us
FairPlay Sports Media is the AI-powered operating system for sports monetization. We combine deep-tech innovation with the global scale of brands like oddschecker. Join us to build Agentic AI that processes 100m data updates weekly to predict fan behavior. Don't just watch the game; engineer the outcome.
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