Job Description
Junior/Mid/Senior Data Scientist - Hybrid, London
Location: London (hybrid: 3 days in office in Victoria)
Contract Type: Full Time
Role Level: Junior/Mid/Senior
Salary: Junior - £30,000 - £40,000; Mid-Level - £40,000 - £50,000; Senior - £50,000 - £80,000
Reporting Line: Head of Analytics
Direct Reports: TBC
The Role
Prospect is on a mission to revolutionise decision making in sport. Our analytical solutions support decision making from the field through to the board room, helping our performance clients win trophies in four different sports, and winning awards for our commercial clients too. We have four primary lines of business: Performance Analytics, Sporting Product Analytics, Marketing Analytics & Execution, and Consulting & Advisory.
Since closing our seed fundraising round in June 2021, Prospect has worked with rights holders, clubs, investors, broadcasters, and other service providers to the sports industry.
We are looking for someone who is equally passionate about sports and analytics and is excited about the possibilities of the intersection of the two. The ideal candidate would have experience as a problem solver, data scientist/ML engineer, and communicator, with a strong grasp of statistical methods. You’ll work as part of cross-functional teams to help solve challenges and aid decision makers across the sporting landscape, from elite professional teams, to leagues and broadcasters, applying advanced analytics and modelling techniques.
Personal Attributes
Highly motivated and results-driven with a passion for technology. A passion for the business of sports, media and technology. Can-do attitude; a self-starter who takes the initiative to drive the company forward. Collaborative, open to feedback and willing to learn.
Junior Data Scientist Responsibilities
* Support the design, development and validation of machine learning models for performance, product, and commercial use cases.
* Clean, transform, and analyse complex datasets.
* Contribute to development-ready Python codebases.
* Produce visualisations and client-facing presentations.
* Collaborate with engineers and other teams to deliver solutions.
Capabilities
* 2+ years relevant work experience.
* Proficient in Python (e.g., pandas, scikit-learn).
* Strong communication skills.
* Detail-oriented, with a desire to learn.
* Familiarity with Agile, Jira, and Confluence.
* Proficiency working with AWS cloud services is required.
Mid-Level Data Scientist Responsibilities
* Lead individual workstreams from design through deployment.
* Build and monitor predictive models.
* Translate insights into actionable deliverables.
* Support and mentor junior colleagues.
Capabilities
* 4+ years relevant work experience.
* Experience in supervised models (e.g., forecasting, regression, classification) and unsupervised models (e.g., clustering).
* Experience with prescriptive analytics is a plus.
* Code quality, version control, and CI/CD familiarity.
* Strong client communication and project delivery skills.
* Familiarity with Agile, Jira, and Confluence.
* Proficiency working with AWS cloud services is required.
Senior Data Scientist Responsibilities
* Lead complex, multi-stream projects and analytics teams.
* Define modelling strategy and coding standards.
* Mentor team members and support professional development.
* Interface with clients to drive data-informed strategy.
Capabilities
* 6+ years relevant work experience.
* Deep expertise in advanced machine learning and optimisation.
* Fluency in Python development, MLOps, and cloud deployment.
* Leadership in technical delivery and stakeholder engagement.
How to apply?
To apply, send your CV and covering letter to contact@prospectsport.ai with the role you are applying for in the subject line. You must have the right to work in the United Kingdom. Please state your current notice period.
This is an exciting opportunity to join a fast-growing company that is looking to revolutionise decision-making in sport. Prospect is committed to providing equal opportunities for candidates from all backgrounds.
Since our founding in 2019, we have sought to build an inclusive working environment where everyone is celebrated.
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