At a Glance
- Tasks: Engage in real projects and problem-solving as a Data Scientist and Analyst.
- Company: Join Revolut, a leading fintech company with a focus on innovation.
- Benefits: Hybrid work arrangement, competitive salary, and career development opportunities.
- Other info: Dynamic environment perfect for ambitious graduates looking to grow.
- Why this job: Launch your career in fintech and make a real impact in the industry.
- Qualifications: Graduates in computer science, maths, or physics with Python and SQL skills.
The predicted salary is between 28000 - 38000 £ per year.
Revolut Careers and Employment is seeking Graduate Data Scientists and Analysts to join their Data Science team. This role is ideal for ambitious graduates wanting to launch their careers in fintech, where you'll engage in real projects and problem-solving with a hybrid work arrangement.
Graduates in computer science, maths, or physics with strong Python and SQL skills, and a willingness to work in a dynamic environment will thrive in this 12-month programme.
Graduate Data Scientist & Analyst — Fintech Impact employer: Revolut Careers and Employment
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 12-month programme provides hands-on experience in real projects within the fintech sector, all while enjoying the flexibility of a hybrid work arrangement. Join us to kickstart your career in a forward-thinking environment that values ambition and creativity.
Contact Details:
Revolut Careers and Employment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data Scientist & Analyst — Fintech Impact
✨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 Careers and Employment.
✨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 Careers and Employment, 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 Careers and Employment.
✨Find Internships through Portals and Workshops
Keep an eye out for career fairs and workshops specifically targeting data science roles. Many companies, including Revolut Careers and Employment, 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 — Fintech Impact
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 Careers and Employment 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 Careers and Employment 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 Careers and Employment
✨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 Careers and Employment 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 Careers and Employment’s culture and workflow.
