Junior/Mid/Senior Data Scientist - Hybrid, London

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

Job summary

A dynamic opportunity has arisen for a Junior, Mid, or Senior Data Scientist at a leading company involved in sports analytics. The role requires a passion for sport and analytics, with responsibilities spanning model development, data analysis, and collaboration with cross-functional teams. The ideal candidate will possess experience in Python and statistical methods, contributing to innovative solutions that enhance decision-making processes in the sports industry.

Qualifications

• 2+ years relevant work experience for Junior.
• 4+ years for Mid-Level, and 6+ years for Senior positions.
• Strong grasp of statistical methods and machine learning processes.

Responsibilities

• Develop and validate machine learning models.
• Support design and implementation of predictive models.
• Lead projects and mentor junior staff for Mid and Senior roles.

Skills

Python

Machine Learning

Statistical Analysis

Communication

Detail-oriented

Tools

AWS

Agile

Jira

Confluence

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 sports, media, and technology.
• Can-do attitude; a self-starter who takes initiative.
• 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 analyze complex datasets.
• Contribute to development-ready Python codebases.
• Produce visualizations 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 with AWS cloud services.

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 and unsupervised models.
• 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 with AWS cloud services.

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 optimization.
• Fluency in Python development, MLOps, and cloud deployment.
• Leadership in technical delivery and stakeholder engagement.

How 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 state your current notice period.

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