Junior/Mid/Senior Data Scientist - Hybrid, London

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

Job summary

A fast-growing company specializing in analytics for sports applications is seeking Junior, Mid, and Senior Data Scientists. Candidates will be involved in developing machine learning models and solving complex analytical challenges for sports clients. This hybrid role based in London offers competitive salaries based on experience.

Qualifications

• 2+ years relevant work experience for Junior, 4+ for Mid, and 6+ for Senior roles.
• Strong grasp on statistical methods and data science techniques.
• Proven problem-solving skills and experience in a relevant field.

Responsibilities

• Support design and validation of machine learning models.
• Lead individual workstreams, building and monitoring predictive models.
• Mentor team members and establish modeling strategies.

Skills

Python

Machine Learning

Communication

Data Analysis

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 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

To apply, send your CV and covering letter to [e-mail] 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 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 sought to build an inclusive working environment where diversity is celebrated.