At a Glance
- Tasks: Identify emerging tech trends and support rapid prototyping in gaming and entertainment.
- Company: Join Flutter UKI's innovative Frontier R&D team focused on disruptive technology.
- Benefits: Enjoy a £/€1,000 learning fund, unlimited holiday, and hybrid working options.
- Other info: Inclusive workplace encouraging diverse perspectives and experiences.
- Why this job: Kickstart your career at the forefront of technology innovation and make a real impact.
- Qualifications: Recent graduate in a technical field with programming skills and a passion for AI.
The predicted salary is between 28000 - 35000 £ per year.
The Frontier R&D team is part of Flutter UKI's Disruptive R&D function, focused on identifying and evaluating emerging technologies over a 12-36 month horizon. We move fast, prototype constantly, and work at the frontier of what's possible in betting, gaming, and entertainment technology. Our outputs inform strategic decisions and feed into the wider R&D pipeline.
As Research Graduate, you will be instrumental in identifying trends, synthesising research, and supporting the team's rapid prototyping activities. This is an exceptional opportunity for a curious, technically-minded graduate to develop their career at the cutting edge of technology innovation.
What you’ll do:
- Conducting technology horizon scanning to identify emerging trends, tools, and platforms relevant to betting and gaming.
- Researching and summarising academic papers, industry reports, and technical documentation.
- Supporting the Prototyping Engineer with technical feasibility assessments and experimental implementations.
- Creating research briefs and presentations to communicate findings to stakeholders.
- Monitoring technology providers, startups, and research institutions for partnership opportunities.
- Contributing to prototype development using generative AI coding tools.
- Building and maintaining a knowledge base of emerging technologies and their potential applications.
- Assisting with demonstrations and stakeholder presentations.
- Evaluating and testing new AI tools, platforms, and services as they become available.
What you’ll need:
- Recent graduate (within 2 years) in Computer Science, Data Science, Mathematics, Physics, or related technical discipline.
- Strong analytical and research skills with ability to synthesise complex technical information.
- Foundational programming skills in at least one language (Python preferred).
- Active user of generative AI tools (ChatGPT, Claude, Midjourney, or similar) with genuine enthusiasm for AI technology.
- Excellent written and verbal communication skills.
- Ability to create clear, engaging presentations for technical and non-technical audiences.
- Intellectual curiosity and passion for emerging technology.
- Self-motivated with ability to work independently and take initiative.
Desirable:
- Coursework or projects involving machine learning, neural networks, or AI.
- Experience with data analysis or statistical methods.
- Familiarity with cloud platforms or web development.
- Interest in betting, gaming, or entertainment industries.
- Personal projects demonstrating technical creativity or innovation.
What’s on offer:
- £/€1,000 learning fund.
- Twice-yearly bonus (with part of it guaranteed!).
- Unlimited Holiday.
- Pension contribution scheme.
- Private healthcare.
- Hybrid Working.
- Access to thousands of Udemy courses.
- Invest via the Company Sharesave Scheme.
We’re working to be an inclusive employer. We encourage people from all backgrounds, ways of thinking and working to apply. Everyone brings different perspectives and experiences; you don't have to meet all the requirements listed to apply for this role.
Research Graduate - Frontier R&D in London employer: 慨正橡扯
At 慨正橡扯, we pride ourselves on being an exceptional employer that champions innovation and collaboration in the field of Behavioral Economics and Retirement Research. Our hybrid working model not only offers flexibility but also nurtures a vibrant work culture where employees are encouraged to grow and develop their skills through meaningful projects and leadership opportunities. Join us in Europe, where your expertise will directly contribute to enhancing investor outcomes and shaping impactful business strategies.
StudySmarter Expert Advice🤫
We think this is how you could land Research Graduate - Frontier R&D in London
✨Join Data-Science Meetups
Get yourself along to local data-science meetups or workshops. They're goldmines for networking, and you'll learn from industry pros who might just point you in the direction of internships. Plus, discussing the latest trends with like-minded individuals can really amp up your game.
✨Utilise University Career Services
Check in with your uni's career services since they often have connections with companies looking for interns. They might even organise information sessions with firms, which can be a great chance for you to learn more about potential internships and make some key contacts.
✨Show Off Your Stuff on GitHub
If you're into data science, having a GitHub profile with your projects is essential. Make sure your portfolio is public and showcases your best work! Recruiters love to see your coding skills and problem-solving approach, and it’s a brilliant way to stand out.
✨Apply Directly on Our Website
Don’t forget to check out the internships listed on our site! It's always a good idea to apply directly through our website because it makes your application easier for our team to find, and you might just catch the hiring manager’s eye by showcasing exactly what you're passionate about in data science.
We think you need these skills to ace Research Graduate - Frontier R&D in London
Some tips for your application 🫡
Show Off Your Technical Skills:For a data science internship, we want to see those analytical skills shine! List your programming languages, like Python or R, and make sure to highlight any relevant projects or courses you've completed. If you've dabbled with tools like Pandas, NumPy, or machine learning algorithms, don’t hold back – include those in your CV!
Share Your Curiosity in Your Cover Letter:As an intern, your motivation and eagerness to learn are key! In your cover letter, talk about specific data science concepts that excite you and how this internship at 慨正橡扯 will help you grow. Share what you hope to achieve and how you plan to tackle real-world data problems - we love enthusiasm!
Include Any Relevant Certifications:If you've earned any certifications, such as from Coursera or DataCamp, make sure to include these in your application. They show us that you're proactive and committed to expanding your data science skillset. This could make a real difference in how we assess your application!
Keep It Relevant and Concise:Remember, as an intern, you don’t need to have decades of experience. Focus on showcasing relevant coursework, personal projects, or even related volunteer work in data science. Keep your CV and cover letter concise but impactful – we appreciate clear and straightforward communication!
How to prepare for a job interview at 慨正橡扯
✨Brush Up on Your Coding Skills
As a data science intern, you might get grilled on your programming skills. Expect to tackle some coding challenges using languages like Python or R. We recommend practising basic algorithms or data manipulation tasks so you can show off your tech skills with confidence.
✨Show Off Your Projects
Prepare to discuss any projects you’ve done, whether in your studies or on your own time. Having a strong portfolio of data analyses or machine learning models will really set you apart. We can use platforms like GitHub to showcase your work to impress 慨正橡扯.
✨Know Your Stats and ML Basics
Brush up on your statistics and machine learning concepts because interviewers love to dig into this! Be ready to explain your understanding of algorithms or how you would approach a given data problem. This will highlight your theoretical background alongside your practical skills.
✨Be Eager to Learn and Adapt
Internships are all about potential and growth. Make sure you convey your eagerness to learn and adapt to new tools or methodologies. Show 慨正橡扯 that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
