Build a career solving real-world problems for some of the globe's biggest organisations, using the latest machine learning technology, with the Featurespace Graduate Programme.
A Deloitte Fast 50 company two years running, at Featurespace, you'll work with leading experts to build and implement real-world applications of machine learning and adaptive behavioural analytics. You'll be solving exciting fraud problems at world-leading organisations in financial services, gaming and insurance.
Develop and grow your career
Get exposure to a broad range of skills, technologies and business areas. Put theory into practice - see your creations getting used at global scale, in real situations, to solve real problems. As you progress, our experts will train you, and help you to specialise and design your own career path.
Join our fun, enthusiastic team
Featurespace brings new insights through new ways of treating data, but we are very much a human company, not just a tech company. Join a team of driven, supportive innovators, who value academic insights and continued learning. Work on challenging projects and help us fight fraud with real-time adaptive behavioural analytics.
Are you an aspiring software engineer, developer or data scientist with a passion for innovation? Do you want to solve real-world fraud problems using some of the most exciting technology on the market?
Then you could be the perfect fit for the Featurespace Graduate Programme.
Our graduate roles are a great way to launch a career into software engineering or data science. They give exposure to a broad range of skills and cutting-edge technologies, allowing you to shape the direction of your career, trying out different areas before deciding what specialisation most interests you. Our mentors will train you and challenge you to learn new skills, while giving you the satisfaction of seeing your code put into production to solve real problems for our customers.
Working as part of a friendly, fun and sociable team, you'll be developing and implementing our highly scalable and resilient machine learning software platform, for clients in Financial Services, Insurance and Gaming.
No experience is necessary - if you have (or will have) a good degree in a scientific or numerate discipline (such as Computer Science, Physics, Mathematics, Engineering, or other STEM subjects) then we want to hear from you. The most valuable skills you can have are being bright, inquisitive, quick to learn new things, and a flexible, positive attitude.
- Quarterly bonus scheme
- Pension scheme
- 25 days’ annual leave
- Training and mentoring schemes
- Career growth opportunities
- Free Friday team lunches at our Cambridge, London & Atlanta offices
- Quarterly social, team building events
- Weekly lunchtime sports clubs
- Fridge packed full of edible treats and drinks for lunches and snacks
- Top notch coffee machines
- Weekly board game evenings
- Cycle to Work scheme