At a Glance
- Tasks: Tackle real projects and develop analytical tools to enhance customer experiences.
- Company: Join Revolut, a leading fintech company with a focus on innovation.
- Benefits: Hybrid work model, relocation support, and opportunities for professional growth.
- Other info: Collaborate with diverse teams in a dynamic and supportive environment.
- Why this job: Make a real impact in the fintech world while developing your data skills.
- Qualifications: 2:1 degree in a relevant field and strong Python and SQL skills.
The predicted salary is between 28000 - 38000 £ per year.
Revolut is launching a Graduate Programme for aspiring Data Scientists and Analysts in the UK. Over 12 months, you'll tackle real projects, develop analytical tools, and collaborate with diverse teams to enhance customer experiences.
Ideal candidates will hold a 2:1 degree in a relevant field and possess strong Python and SQL skills. This hybrid role requires attendance in the office 3 days a week, with relocation support available.
Graduate Data Scientist & Analyst — Impact at Fintech employer: Revolut
Revolut is an exceptional employer for aspiring Data Scientists and Analysts, offering a dynamic work culture that fosters innovation and collaboration. With a strong focus on employee growth, the Graduate Programme provides hands-on experience with real projects and analytical tools, all while being part of a diverse team in the vibrant UK fintech sector. The hybrid work model, combined with relocation support, ensures a flexible and supportive environment for your career development.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data Scientist & Analyst — Impact at Fintech
✨Get in on the Data Science Meetups
Data science is all about community! Join local meetups or workshops related to data science and analytics. It's a fab way to network with industry professionals, learn about the latest trends, and maybe even snag a lead on an upcoming opportunity at companies like Revolut.
✨Show Off Your Projects
As a trainee, showcasing your skills is key. Start a GitHub repository with your projects or analytics problems you've solved. Share them on platforms like Kaggle, and make sure to link them on your LinkedIn. Potential employers, including Revolut, love seeing hands-on experience!
✨Connect with Alumni
Tap into your university's alumni network! Reach out to past graduates who are working in data science roles and see if they'd be willing to chat. They often have great insights into internship openings and can even refer you internally, increasing your chances with companies like Revolut.
✨Find Internships through Portals and Workshops
Keep an eye out for career fairs and workshops specifically targeting data science roles. Many companies, including Revolut, often scout for trainee talent at these events. Plus, applying directly through job portals and company websites can give you an edge!
We think you need these skills to ace Graduate Data Scientist & Analyst — Impact at Fintech
Some tips for your application 🫡
Show Off Your Data Skills:Make sure to highlight your data-related skills clearly in your CV. If you've worked on any projects using Python or R, be sure to mention them. Also, if you've dabbled in machine learning, include that too—employers love a hands-on learner!
Include Relevant Projects:Since this is a trainee position, listing your university projects or any personal data science projects can really impress. Attach a GitHub link if possible, so Revolut can see your code and your thought process. Practical experience, even if it's academic, can set you apart!
Personalise Your Cover Letter:Use your cover letter to show how passionate you are about data science. Describe why you're excited about the opportunity at Revolut and how the role aligns with your career goals in this dynamic field. We want to see your enthusiasm and potential to grow.
Tailor Your CV for Trainees:Since you’re applying for a trainee position, focus on academic achievements and any relevant coursework in your CV. Don’t sweat the lack of professional experience—your ability to learn and adapt is what counts. Also, make sure to align your CV format with data science norms; keep it clear and concise!
How to prepare for a job interview at Revolut
✨Show Off Your Data Skills
Make sure you're ready to chat about the tools we use in data science, like Python, R, or SQL. Brush up on key concepts like data cleaning, analysis, and visualisation — interviewers often delve into these areas to see how you think and approach problems.
✨Prepare for Practical Assessments
Don't be surprised if you're given a case study or data set to analyse during the interview. We should be prepared to demonstrate how we interpret and present data findings — it's a chance to show off our analytical thinking in real time!
✨Highlight Your Passion for Learning
As a trainee, it’s all about showing your enthusiasm for data science! Share any personal projects, online courses, or relevant experiences. This tells Revolut that we’re eager to grow and develop our skills in this exciting field.
✨Ask Insightful Questions
Use this opportunity to find out more about the team’s projects and tools. Questions like ‘What data challenges are you currently facing?’ can demonstrate our interest while also helping us understand how we might fit into Revolut’s culture and workflow.
