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Are you an aspiring software engineer or data scientist with a passion for innovation? Do you want to solve real-world fraud problems for some of the globe’s biggest organisations, using some of the most exciting technology on the market?
We run two technical internships at Featurespace HQ in Cambridge for 10 weeks over the summer. This is an exciting opportunity for a small group of interns to tackle challenging, real-world projects that will utilise cutting-edge technology to help protect our customers and people around the globe from fraud and financial crime.
You’ll be paid £20,000 pro-rata for your time with us and will be eligible for many additional benefits including flexible working options, the fridges packed full of edible treats and drinks for lunches and snacks, free weekly takeaways at our Cambridge office (think pizza, Thai, pasta, Korean BBQ and much more!) and an invite to our amazing summer social!
During the 10 week program, you will work directly with our engineers to build and deliver a feature directly to our Fraud Prevention product ARIC. You will work in a small, feature focussed team and across the business to gather requirements, understand the feature, and deliver a production-ready solution to a real business challenge.
You will have the opportunity to learn enterprise-level programming in industry-standard languages and put into practice core software development methods. A core value at Featurespace is ‘To strive for innovation and brilliance at all times and with the help of our experienced engineers, you will learn the skills necessary to do that, in a way where this can be carried forward into future roles and opportunities.
The 10-week data science internship program at Featurespace will give you the chance to work together with other data science interns on real problems facing our customers. As a team, data science writes machine learning models to detect fraud and money laundering. Our models affect millions of people around the world, protecting them when their card details are stolen, helping them avoid scams, and picking out patterns of money laundering that underlie serious crime. We’re passionate about the work we do, and it really matters that we get it right.
The experience of actually sending an algorithm into the world to give real-time responses can be quite different from trying something out on a polite, well-curated dataset at home. Our areas of focus for this internship are likely to be around how Featurespace utilises consortium modelling, transfer learning, feature selection, and deep learning. This internship is designed to give you a sense of what it takes to make machine learning work in practice, to give you the experience of working on these problems in a team, and ultimately for you to contribute to our work.
You’ve applied for one of our internships – that’s great news! Our Talent team will get back to you as soon as possible on the outcome of your application. Ideally you will have told us a little bit about yourself, your skills and experience, and why Featurespace is the place for you.
Following your CV review, we’ll be sending out a technical task for you to show off your skills – you’ll have 7 days to complete this from the send date. Don’t be afraid to ask questions. We know tasks can be a little daunting and everyone wants to do their best, so if you have any queries about any part of the test, please don’t hesitate to ask someone on our Talent team – we’re happy to help.
If you successfully make it through our task stage, we’ll be inviting you to a 45-minute Zoom interview to be schedule the week commencing the 24th January 2022. A chance for you to remotely meet existing Featurespacers, this will also involve a discussion surrounding your task, some more technical questions, and a chance to ask any questions you may have about life at Featurespace!
If all goes well, our friendly Recruitment team will be in touch to chat through final details and answer any questions you may have left over.
Who we’re looking for
No experience is necessary – if you are currently studying a degree in a scientific or numerate discipline (such as Computer Science, Physics, Mathematics, Engineering, or other STEM subjects) and have any kind of programming language exposure (Python is a definite plus for our Data Science internship), then we want to hear from you.
The most valuable skills you can have are being bright, inquisitive, quick to learn new things, and having a flexible, positive attitude.
Talent top tip:
Our teams love to read about your interest in Data Science or Engineering, so if you’ve been involved in projects, hackathons, extracurricular courses, relevant reading, or volunteering related to these, make sure you included the details in your CV!
Cover letters aren’t essential, but are highly encouraged as they can be a great format to talk about your skills and experience, and we’d love to read them – please just keep it to one side of A4 max!
“At Featurespace I am completely independent, trusted and at the forefront of innovation, working for one of the most cutting edge companies.”
Araliya – Head of Financial Crime
Charlotte - Senior EngineerI really like the light management; essentially I'm trusted. My manager will say "Hey, we need this implementing" and I'm not micromanaged, so I can come up with the solution myself and if I need help from other members of the team that help is always going to be there.