FairPlay Sports Media
Data Scientist
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About FairPlay Sports Media
We're a sports media network, focused on building and nurturing a portfolio of highly engaged and connected communities of sports fans and bettors to create value for our partners.
We empower sports fans with real-time intelligence, premium independent content, and unique tools so they can compete in the sports betting game.
FairPlay Sports Media is a collection of market-leading brands including oddschecker, WhoScored, SuperScommesse, FairPlay Technologies, and Confido. In addition, FairPlay has a vast network across the sports tech and media industries through partnerships including Reach, Fox Sports, Gazzetta dello Sport, DAZN, SportsGrid, and The Jockey Club, amongst others.
iGaming is one of the fastest-growing and most technologically innovative sectors, and we're on top of our game, powered by market-leading technology and driven by brilliant people. We champion diversity and operate an open and inclusive culture while remaining focused, fast-paced, and always making sure to have fun along the way.
So why not join FairPlay Sports Media and be part of something bigger?
About the Role
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.
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.
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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.
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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)
What you’ll get back from us:
Alongside being challenged daily and a real interest in your development, you will also receive:
- Subsidized Sky HD package, broadband and discounted sky talk
- Free Puregym membership
- Free healthcare with Bupa, life assurance and income protection
- Pension scheme with up to 9% contribution from the company
- £1,000 training fund each financial year, to spend on your professional development
- Unlimited holiday plan
Research shows that women and ethnic minorities are less likely to apply if they don’t meet every qualification. If you’re passionate about our purpose, determined to take on challenges, and eager to learn, we encourage you to apply even if you don’t meet every requirement.
We’re committed to building a diverse and inclusive team, and to ensuring an accessible recruitment process. Our approach includes:
- Equal opportunity employment
- Non‑discrimination in recruitment, compensation, development, and promotion
- Inclusive leadership and respectful workplace behaviors
If you need any accommodations during the recruitment process, please let us know.
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