Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Scientist

Houston Texans
Manchester
3 weeks ago
Create job alert

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.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Hybrid

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.

Translucent Careers: Senior Artificial Intelligence Engineer in London

The global landscape of artificial intelligence is evolving rapidly, and nowhere is this transformation felt more strongly than in the financial and accounting industries. AI is no longer just a supporting technology; it is becoming the backbone of innovation, efficiency, and decision-making. One of the most exciting companies at the forefront of this movement is Translucent, a dynamic business redefining how accounting professionals work with AI-driven tools. For professionals seeking to combine technical excellence with meaningful industry impact, Translucent represents a rare career destination. At the heart of their current expansion is an opening for a Senior Artificial Intelligence Engineer in London. This role combines high-level technical leadership, hands-on development, and an opportunity to influence the direction of an emerging force in AI. In this article, we’ll explore: Who Translucent are and why they matter. The significance of AI in financial technology (fintech) and accounting. A deep dive into the Senior AI Engineer role. Skills and requirements needed for success. Career growth and opportunities at Translucent. How artificialintelligencejobs.co.uk helps professionals connect with transformative employers like Translucent.

The Future of Artificial Intelligence Jobs: Careers That Don’t Exist Yet

Artificial Intelligence (AI) has already transformed the global job market. From data scientists and machine learning engineers to AI ethicists and prompt engineers, many roles that seemed futuristic only a decade ago are now mainstream. Yet this is only the beginning. AI is progressing faster than any other technology in history, and the UK is at the forefront of its adoption, with government strategies, academic research, and private investment all accelerating growth. As generative AI, autonomous systems, robotics, and cognitive computing expand, completely new careers will emerge—jobs that don’t yet exist, but which will soon become central to how organisations, societies, and economies function. This article explores what those roles might look like, why they will matter, and how today’s professionals can prepare for careers that are still being invented.