Junior/Mid/Senior Data Scientist - Hybrid, London

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

Job summary

A leading company is seeking a Junior/Mid/Senior Data Scientist to join their team in London. The role focuses on developing analytical solutions in sports, requiring proficiency in Python and statistical methods. Successful candidates will work collaboratively to support decision-making processes and drive analytics projects across various sports and clients.

Qualifications

• Proficient in Python, with experience using libraries like pandas and scikit-learn.
• 2+ years relevant work experience for junior level, 4+ for mid-level, and 6+ for senior level.
• Familiarity with Agile methodologies and working in cross-functional teams.

Responsibilities

• Design and validate machine learning models for diverse use cases.
• Analyze datasets and produce visualizations for clients.
• Lead projects and mentor junior colleagues at mid and senior levels.

Skills

Python

Communication

Detail-oriented

Agile

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 in the sports industry. We are seeking a candidate who is passionate about sports and analytics, and excited about their intersection. 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 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 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 with supervised models (e.g., forecasting, regression, classification), and unsupervised models (e.g., 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 modeling 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 cover letter to [e-mail] with the role in the subject line. You must have the right to work in the UK and state your current notice period. Prospect is committed to equal opportunities and an inclusive working environment.