Data Scientist

Data Scientist, Sports BettingRole OverviewWe're looking for a Data Scientist to join our Sports Betting vertical. You'll develop predictive models, contributing to our growing portfolio of pre-match and in-play products and services for the sports betting industry.What You'll DoModelling & Analysis: Develop, train, and evaluate predictive models using machine learning and statistical techniques, with a focus on probabilistic and Bayesian approaches. Contribute to the modelling lifecycle from feature engineering and training through to validation and deploymentData Work: Query, clean, and explore datasets using Python and SQL to surface patterns and support model developmentAI-Assisted Development: Leverage AI tools to accelerate and improve your day-to-day workflowQuality & Rigour: Apply good model development discipline through version control, testing and documentationRequirementsWhat You'll BringPassion for Sport: You follow sports and understand the context of the data and markets we build for. Comfortable with sport-driven modelling decisionsMachine Learning & Statistics: Solid grounding in machine learning, supervised and unsupervised methods, and classical statistical techniques. Comfortable working with probabilistic models, uncertainty estimation and Bayesian inferenceModel Development: Understanding of the full model training pipeline, including data preparation, feature selection, model selection and model validationExperience: Hands-on experience building and evaluating models in a data science or quantitative contextPython & SQL: Comfortable using python and SQL for data exploration, feature development and modelling workflowsCommunication: Able to present findings clearly to both technical and non-technical audiencesNice to HavesSimulation: Experience with Monte Carlo methods or probabilistic simulationAI Integration: Comfortable using AI-assisted coding tools such as Claude Code or Cursor as part of your everyday workflow, and open to integrating them deeper into how you model and buildWhat We Look ForCuriosity: You are naturally curious about the "Why". You look at data and customer behaviour to inform your decisions. Collaborative & Open: You treat your work as a starting point for collaboration. You contribute to shared knowledge and code bases, and value engaging with your peers to build solutionsContinuous Development: You are keen to develop knowledge and skills, keeping up to date with relevant developments and applying new learning where appropriateBenefitsWhat We OfferHybrid working out of our London office (Farringdon) - most of our staff come into the office about twice a weekSalary based on our external benchmarking framework, plus eligibility for a bonus schemePrivate health insurance, occupational life cover, and income protection insurancePersonal days, including birthdays and health and wellness daysAI forward culture including Claude Code Premium subscription