At a Glance
- Tasks: Build analytical tools and enhance data infrastructure while collaborating with diverse teams.
- Company: Join Revolut, a leading fintech company, in an exciting hybrid role.
- Benefits: Gain hands-on experience, training, and a chance to work on real projects.
- Other info: Ideal for graduates from 2025 to 2027, with excellent growth opportunities.
- Why this job: Kickstart your career in data science and make a real impact in fintech.
- Qualifications: Strong Python and SQL skills, plus a solid foundation in maths and statistics.
The predicted salary is between 28000 - 38000 £ per year.
hackajob is collaborating with Revolut to find a Graduate Data Scientist. Over a 12-month program, you will work on real projects, enhance your skills, and receive training.
Key tasks include:
- Building analytical tools
- Enhancing data infrastructure
- Collaborating across teams
The role is hybrid, requiring attendance at a Revolut office at least three days a week.
Ideal candidates will have:
- Strong Python and SQL skills
- A solid foundation in maths and statistics
- A proactive mindset
You should be graduating in 2025, 2026 or 2027.
Graduate Data Scientist & Analyst – Fintech Analytics employer: hackajob
Revolut is an exceptional employer that offers a dynamic and innovative work environment for aspiring data scientists. With a strong focus on employee development, you will have the opportunity to work on impactful projects while receiving comprehensive training and mentorship. The hybrid work model promotes flexibility, and the collaborative culture encourages growth and creativity, making it an ideal place for those looking to launch their careers in fintech analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data Scientist & Analyst – Fintech Analytics
✨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 Graduate Data Scientist & Analyst – Fintech Analytics
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 hackajob 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 hackajob
✨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 hackajob.
✨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 hackajob that you’re not just looking for experience, but that you're keen to contribute and grow within the team.
