Data Scientist

Kitman Labs; Greater Manchester; On-site; GBP 40,000 - 70,000; Full time

Job summary

Kitman Labs, a leading performance intelligence company, seeks an experienced Data Scientist to join their innovative team. You will leverage vast data from elite sports to develop impactful analytics solutions, collaborating closely with engineering and performance science teams. Ideal candidates possess strong programming skills, a solid understanding of machine learning, and the ability to communicate complex concepts effectively.

Qualifications

• 3–5 years of industry experience in a data science role.
• Strong programming skills in Python.
• Solid understanding of machine learning/statistical theory.

Responsibilities

• Develop and operationalise analytics concepts.
• Expand and improve the Intelligence Platform.
• Build pipelines and models integrating with existing infrastructure.

Skills

Python

Machine Learning

Data Analysis

Communication

Education

Bachelor’s/Master’s in Data Science, Computer Science, Mathematics, Statistics, Sports Science

Tools

Pandas

Scikit-Learn

Job description

Kitman Labs is the performance intelligence company, disrupting and transforming the way the sports industry uses data to unlock the potential of the world’s top athletes.
Driven by a passion to innovate in the areas of sports performance, analytics and user experience, we have assembled a team of the industry’s top data scientists, sports performance scientists, product and software designers and engineers.
Kitman Labs’ advanced operating system, the Intelligence Platform (iP) is now used by over 2000 teams in 50 leagues on 6 continents, including the NFL, Premier League, National Women’s Soccer League and MLS.
We're looking for an experienced Data Scientist to join our team at Kitman Labs!
Elite sport generates a vast array of data – think GPS metrics, injury records, event data, and more. At Kitman Labs, our mission is to turn this data into meaningful insights that empower teams and athletes to perform at their best. We're looking for a data-savvy team player to help us build and evolve our Intelligence Platform. You’ll be working closely with our Engineering, Product, and Performance Science teams to develop practical solutions to some of sport's greatest data challenges, as well as conducting R&D to produce new and highly innovative product features.Responsibilities:

• Develop and operationalise analytics concepts, bringing them from research to product in collaboration with our Engineering, Product, and Performance teams.
• Be a key contributor in making data science a game changer in elite sport and the defence sector, working with teams internally and with our clients to refine how analytics impact performance, as well as tackling unique data science challenges faced by our clients.
• Expand and improve our Intelligence Platform, creating impactful models that inform player development, talent identification, and team performance, while also contributing to R&D efforts for new, cutting-edge product features.
• Build pipelines and models that integrate seamlessly with our existing infrastructure.
• Contribute to the development of performance dashboards, in-depth reports, and data-driven insights that aid coaches, medical staff, and performance departments, and support clients in addressing unique analytical challenges.
• Present your work frequently, both internally and to clients, ensuring insights are communicated clearly and effectively.

Experience & Skills We're Looking For:

• 3–5 years of industry experience in a data science role, preferably in a research and development capacity in a software company.
• Strong programming skills, with experience in Python is essential. Your code should be clean, organised, and easy to read.
• Experience building models and developing data and analytical pipelines to solve real-world problems.
• Solid understanding of machine learning/statistical theory, with practical experience applying a range of techniques.
• Familiarity with deploying models in production environments.
• Strong communication skills – the ability to explain complex data science concepts to non-technical stakeholders and influence decision making through your work.
• Ability to work with internal and external teams to iteratively arrive at solutions that fit their needs.
• Bachelor’s/Master’s in Data Science, Computer Science, Mathematics, Statistics, Sports Science, or a related field.

Additional Qualities We Value:

• Experience working with large datasets and using tools such as Pandas, Scikit-Learn, or similar.
• Any experience training or implementing Large Language Models and related generative AI technologies would be a plus.
• Strong time management skills and the ability to break tasks into manageable parts.
• Ability to form relationships across teams and communicate effectively with diverse stakeholders.
• Desire to assist other team members, influence positively, and fill gaps where needed.
• Experience working with professional sport or defence data, or having experience with either industry would be potentially beneficial.