Junior/Mid/Senior Data Scientist - Hybrid, London

ZipRecruiter; Romford; Hybrid; GBP 30,000 - 80,000; Full time

Job summary

A leading company in sports analytics seeks Junior, Mid, and Senior Data Scientists for hybrid roles in London. Candidates will help transform decision-making using advanced analytics across various sports. This role requires strong problem-solving skills and a passion for sports and technology, with specified responsibilities varying by level, from supporting teams to leading projects.

Qualifications

• 2+ years relevant experience for Junior, 4+ years for Mid-Level, 6+ years for Senior.
• Proficiency in Python libraries like pandas and scikit-learn required.
• Strong communication skills are vital across all levels.

Responsibilities

• Junior: Clean, transform, and analyze complex datasets.
• Mid-Level: Lead workstreams from design through deployment.
• Senior: Define modeling strategy and coding standards.

Skills

Python

Statistical Methods

Communication

Agile

AWS

Tools

Jira

Confluence

MLOps

Job description

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 passionate about sports and analytics and excited about 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 initiative.
• Collaborative, open to feedback, and willing to learn.

Responsibilities and Capabilities

Junior Data Scientist

• 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 experience. Proficient in Python (pandas, scikit-learn). Strong communication skills. Familiar with Agile, Jira, Confluence. Proficiency with AWS cloud services is required.

Mid-Level Data Scientist

• Lead workstreams from design through deployment.
• Build and monitor predictive models.
• Translate insights into actionable deliverables.
• Support and mentor junior colleagues.

Capabilities: 4+ years relevant experience. Experience in supervised and unsupervised models. Code quality, version control, CI/CD familiarity. Strong client communication skills. AWS experience required.

Senior Data Scientist

• Lead complex 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 experience. Deep expertise in advanced machine learning and optimisation. Fluency in Python, MLOps, cloud deployment. Leadership in technical delivery and stakeholder engagement. AWS proficiency required.

Application Process

To apply, send your CV and covering letter to [e-mail] with the role in the subject line. You must have the right to work in the UK. Please include your current notice period.

This is an exciting opportunity to join a fast-growing company revolutionising decision-making in sport. Prospect is committed to equal opportunities and fostering an inclusive environment.