Sports Data Scientist: Hybrid AI Modeling & Pipelines

Twenty First Group; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Private health insurance

Personal days

AI forward culture

Bonus scheme

Job summary

Twenty First Group is seeking a Data Scientist to join its Technology Solutions squad in London. You will develop models behind custom sports event solutions and collaborate across technical and client-facing teams to deliver APIs and applications.

You’ll work on probabilistic modelling, data pipelines and AI-assisted development, while contributing to a portfolio spanning broadcast, digital, and fan-facing products. A hybrid London role with exciting sports data challenges awaits.

Qualifications

• Hands-on experience building and evaluating models in a data science context.
• Strong Python and SQL for data exploration and modelling workflows.
• Solid grounding in ML methods, probabilistic models and Bayesian inference.
• Understanding of the full model training pipeline: data prep, feature selection, validation.
• Experience collaborating across disciplines and communicating with clients.

Responsibilities

• Develop, train and evaluate models using statistics and ML techniques.
• Query, clean and explore datasets with Python and SQL.
• Help build and maintain data pipelines feeding models.
• Leverage AI tools to accelerate workflows.
• Provide go-live support around sporting events deadlines.
• Maintain model development discipline with version control and documentation.

Skills

Python

Machine Learning

Bayesian inference

SQL

Data modelling

Client communication

Tools

AWS Lambda

EventBridge

DynamoDB

Claude Code

Cursor

Job description

Twenty First Group is seeking a Data Scientist to join its Technology Solutions squad in London. You will develop models behind custom sports event solutions and collaborate across technical and client-facing teams to deliver APIs and applications.

You’ll work on probabilistic modelling, data pipelines and AI-assisted development, while contributing to a portfolio spanning broadcast, digital, and fan-facing products. A hybrid London role with exciting sports data challenges awaits.