Junior/Mid/Senior Data Scientist - Hybrid, London

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

Job summary

Join a pioneering company dedicated to transforming decision-making in the world of sports analytics. As a Data Scientist at Prospect, you’ll harness data-driven techniques to enhance performance for elite teams and commercial clients alike. This role offers an opportunity for impactful work within a collaborative, innovative environment—ideal for those passionate about sports and cutting-edge analytics.

Qualifications

• 2+ years relevant work experience for Junior, 4+ for Mid, 6+ for Senior.
• Fluency in Python and familiarity with machine learning principles.
• Leadership qualities for Senior role.

Responsibilities

• Design, develop, and validate machine learning models.
• Clean, transform, and analyze complex datasets.
• Lead complex projects and mentor junior team members.

Skills

Python

Statistical methods

Communication

Machine Learning

Data Analysis

Tools

AWS

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 solve challenges and aid decision makers across the sporting landscape, from elite professional teams to leagues and broadcasters, applying advanced analytics and modeling 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 eager 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, eager to learn.
• Familiarity with Agile, Jira, and Confluence.
• Proficiency with AWS cloud services.

Mid-Level Data Scientist Responsibilities

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

Capabilities

• 4+ years relevant experience.
• Experience with 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 with AWS cloud services.

Senior Data Scientist Responsibilities

• Lead complex, multi-stream projects and teams.
• Define modeling 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 optimization.
• Fluency in Python, MLOps, and cloud deployment.
• Leadership in technical delivery and stakeholder engagement.

How to Apply

Send your CV and cover letter to [e-mail] with the role in the subject line. You must have the right to work in the UK and include 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 fostering an inclusive environment.