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 50000 - 70000 £ per year.
- Description
- 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.
Requirements
- 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.
Benefits
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
Data Scientist in London employer: Twenty First Group
As a Data Scientist in our Sports Betting vertical, you'll thrive in a dynamic and innovative environment that champions collaboration and continuous development. Our hybrid working model allows you to enjoy the flexibility of remote work while benefiting from our vibrant London office culture, where you can engage with passionate colleagues. With competitive salaries, comprehensive health benefits, and a strong focus on AI integration, we provide an excellent platform for your professional growth in the exciting world of sports data analytics.
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We think this is how you could land Data Scientist in London
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We think you need these skills to ace Data Scientist in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
