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

Apply Now

Data Scientist - Horse Racing

Ellipse
London
2 weeks ago
Create job alert

Ellipse has established itself as a market leader in data analytics, maximising the value of sports data across each of our sports verticals. We deliver best-in-class solutions to engage a broad and diverse audience and tell better stories about the sports we love.

Combining the world’s most extensive sports databases and unique predictive models with the expertise of our diverse team of data scientists, engineers and analysts, Ellipse provides unrivalled analysis and insight to clients around the world.

We are looking for a Data Scientist to join us at the cutting edge of sports analytics. Working within our horse racing team on our innovative RaceiQ brand, this role is based in our London office with some flexibility for remote working.

Key Responsibilities:

  • Work within a team of analysts using one of the largest racing databases in the world.
  • Analyse various data sources, including granular tracking data, to generate new insights around the performances of horses and jockeys
  • Lead the development of innovative new metrics by working alongside a broad spectrum of internal and external stakeholders, from analysts and broadcasters to trainers and governing bodies.
  • Build robust pipelines as part of our fully automated system to deliver reliable performance with real-world data.
  • Full autonomy on ideas and approaches to projects
  • Contribute to the wider data science team with knowledge sharing and collaboration.

Key Requirements:

  • Knowledge of machine learning and statistical methods, e.g. linear/logistic regression, decision trees, random forest, unsupervised methods, neural networks etc.
  • Experience with the PyData stack (e.g. pandas, numpy, scikit-learn, XGBoost, matplotlib)
  • Experience using databases and SQL.
  • Experience with Git and GitHub desired.
  • A passion for data & ability to communicate complex and technical concepts to non-technical stakeholders, and foster collaboration with industry experts.
  • Strong problem solving skills, with the ability to draw ideas from diverse domains to tackle a wide variety of problems.
  • Keep to a high standard of code quality to develop reliable systems and clean, readable code.
  • The ideal candidate will have at least one year’s experience in a similar role.
  • 25 days holiday
  • Hybrid, flexible working with an expectation to be in the office 2 – 3 days / week
  • Company pension scheme
  • Company life insurance
  • Flexible Employee Benefits

Equality and Diversity

Ellipse is committed to building an open and inclusive culture that supports personal development and learning. Ellipse believes in the principle of equal opportunity in employment and its employment policies for recruitment, training, development and promotion despite any differences based on individual grounds of race, colour, nationality, religion or belief, sex, sexual orientation, marital status, age, ethnic and national origin, disability or gender reassignment.

About Ellipse:

Ellipse Data is a leading sports data and analytics company comprising CricViz (cricket),

(rugby), and Horse Racing. Working with the world’s biggest broadcasters, professional teams and rights holders, we ensure every moment matters with data-driven products and services.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Ad Campaign Performance

Data Scientist | Edtech | £60k to £70k | Global Business

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.

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.

Top 10 Skills in Data Science According to LinkedIn & Indeed Job Postings

Data science isn’t just a buzzword — it’s the engine powering innovation in sectors across the UK, from finance and healthcare to retail and public policy. As organisations strive to turn data into insight and action, the need for well-rounded data scientists is surging. But what precise skills are employers demanding right now? Drawing on trends seen in LinkedIn and Indeed job ads, this article reveals the Top 10 data science skills sought by UK employers in 2025. You’ll get guidance on showcasing these in your CV, acing interviews, and building proof of your capabilities.

The Future of Data Science Jobs: Careers That Don’t Exist Yet

Data science has rapidly evolved into one of the most important disciplines of the 21st century. Once a niche field combining elements of statistics and computer science, it is now at the heart of decision-making across industries. Businesses, governments, and charities rely on data scientists to uncover insights, forecast trends, and build predictive models that shape strategy. In the UK, data science has become central to economic growth. From the NHS using data to improve patient outcomes to financial institutions modelling risk, the applications are endless. The UK’s thriving tech hubs in London, Cambridge, and Manchester are creating high demand for data talent, with salaries often outpacing other technology roles. Yet despite its current importance, data science is still in its infancy. Advances in artificial intelligence, quantum computing, automation, and ethics will transform what data scientists do. Many of the most vital data science jobs of the next two decades don’t exist yet. This article explores why new careers are emerging, the roles likely to appear, how current jobs will evolve, why the UK is well positioned, and how professionals can prepare now.