At a Glance
- Tasks: Develop predictive models for sports betting using machine learning and statistical techniques.
- Company: Join a dynamic team in the exciting world of sports betting.
- Benefits: Hybrid working, competitive salary, private health insurance, and personal days.
- Other info: Collaborative environment with opportunities for continuous development and AI integration.
- Why this job: Combine your passion for sports with data science to make impactful decisions.
- Qualifications: Experience in machine learning, Python, SQL, and a love for sports.
The predicted salary is between 63000 - 77000 £ per year.
Data Scientist, Sports Betting
Role Overview
We'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 Do
- Modelling & 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 deployment.
- Data Work: Query, clean, and explore datasets using Python and SQL to surface patterns and support model development.
- AI‑Assisted Development: Leverage AI tools to accelerate and improve your day‑to‑day workflow.
- Quality & Rigour: Apply good model development discipline through version control, testing and documentation.
- What You’ll Bring
- Passion for Sport: You follow sports and understand the context of the data and markets we build for. Comfortable with sport‑driven modelling decisions.
- Machine Learning & Statistics: Solid grounding in machine learning, supervised and unsupervised methods, and classical statistical techniques.
Comfortable working with probabilistic models, uncertainty estimation and Bayesian inference.
- Model Development: Understanding of the full model training pipeline, including data preparation, feature selection, model selection and model validation.
- Experience: Hands‐on experience building and evaluating models in a data science or quantitative context.
- Python & SQL: Comfortable using python and SQL for data exploration, feature development and modelling workflows.
- Communication: Able to present findings clearly to both technical and non‑technical audiences.
- Nice to Haves
- Simulation: Experience with Monte Carlo methods or probabilistic simulation.
- AI 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 build.
- What We Look For
- Curiosity: 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 solutions.
- Continuous Development: You are keen to develop knowledge and skills, keeping up to date with relevant developments and applying new learning where appropriate.
What We Offer
- Hybrid working out of our London office (Farringdon) - most of our staff come into the office about twice a week
- Salary based on our external benchmarking framework, plus eligibility for a bonus scheme
- Private health insurance, occupational life cover, and income protection insurance
- Personal days, including birthdays and health and wellness days
- AI forward culture including Claude Code Premium subscription
- #J-18808-Ljbffr
Data Scientist employer: Twenty First
At Twenty First, we pride ourselves on being an excellent employer, offering a dynamic work environment in the heart of London where innovation thrives. Our hybrid model promotes a healthy work-life balance, while our commitment to continuous learning ensures that you have ample opportunities for professional growth and development in the exciting field of sports betting data science.
