Junior/Mid/Senior Data Scientist - Hybrid, London

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

Job summary

A leading company is on the lookout for a talented Data Scientist at multiple levels to support innovations in sports analytics. This role requires a passion for technology and data-driven decision-making along with expertise in Python and machine learning. Join a vibrant team committed to revolutionizing the industry as you work in a hybrid environment.

Qualifications

• 2+ years of relevant work experience for Junior, 4+ years for Mid-Level, and 6+ years for Senior positions.
• Strong proficiency in Python and experience with machine learning frameworks.
• Ability to communicate insights and collaborate effectively.

Responsibilities

• Support design and validate machine learning models for various use cases.
• Lead workstreams from design through deployment for Mid-Level and Senior roles.
• Mentor junior colleagues and interface with clients to drive strategies.

Skills

Communication

Detail-oriented

Problem-solving

Team Collaboration

Python

Machine Learning

Statistical Methods

Tools

AWS

Agile

Jira

Confluence

CI/CD

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 equally passionate about sports and analytics and is 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 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 (forecasting, regression, classification) and unsupervised models (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

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 in the email.

This is an exciting opportunity to join a fast-growing company aiming 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 built an inclusive working environment where diversity is celebrated.