Data Scientist

Ludonautics; Remote; GBP 60,000 - 80,000; Full time

Job summary

A sports advisory business in the Greater London area seeks a full-stack Data Scientist to develop and deploy robust models and tools. Candidates should have a Master's degree in a STEM field or equivalent experience, along with strong skills in Python and SQL. The role emphasizes building analysis pipelines and collaborating on automated workflows, primarily operating remotely with periodic in-person meetings. This position offers competitive salary and flexible working conditions.

Benefits

Competitive salary

Remote working

Flexible hours

Holiday buyback scheme

Pension Contributions

Bonus scheme based on success

Qualifications

• Experience developing and deploying statistical models.
• Comfortable with Python and SQL.
• Ability to document merits of different approaches.

Responsibilities

• Engineer and deliver new models and tools that run reliably.
• Translate ideas into analytical requirements and production-ready tools.
• Build and maintain analysis pipelines and tooling.
• Collaborate with engineers to deploy models and integrate outputs.

Skills

Python

SQL

Statistical modelling

Data engineering fundamentals

Education

Master's degree in a STEM field or equivalent experience

Job description

About Ludonautics

Ludonautics is a sports advisory business dedicated to helping sporting organisations make data-informed decisions through access to insightful statistical analysis. Ludonautics was founded in 2023 by Ian Graham, who previously served as Liverpool FC's Director of Research for 11 years.

What will you be doing?

Ludonautics needs a full-stack Data Scientist who will work closely with engineering and client-facing staff to ship dependable data tooling and models. The successful applicant will develop tools and pipelines to support analysis and to build and deploy models to automated production workflows.

Who are we looking for?

We are looking for a data scientist who is comfortable with Python and SQL, and with learning new skills and technologies. The successful candidate will have experience developing and deploying statistical models.

We expect the successful candidate to be able to document the merits of different approaches to a problem from a high-level model requirements specification, and to be able to implement and integrate a performant, robust, and scalable solution in a production environment with minimal supervision.

This is primarily a remote role, with frequent in-person co-working days (2-3 days every 4-6 weeks), usually in London.

Skills and Experience

Desired experience:

• Master\'s degree in a STEM field, or equivalent experience in technical/analytical roles


• Python


• SQL


• Statistical modelling


• Data engineering fundamentals

Responsibilities

• Engineer and deliver new models and tools that run reliably and repeatably


• Translate ideas into clear analytical requirements and production‑ready tools and models


• Build and maintain analysis pipelines and tooling that reduce manual effort for the client team


• Collaborate with engineers to develop and deploy models and integrate outputs into automated workflows

Benefits

• Competitive salary


• Remote working


• Flexible hours


• Holiday buyback scheme


• Pension Contributions


• Bonus scheme based on the success of our clients and of the company

Equal Opportunity

We welcome applicants of all backgrounds and identities

Contact

Please apply via LinkedIn - No Agencies