At a Glance
- Tasks: Analyse data and develop strategies using machine learning techniques for clients.
- Company: Leading payments technology company in Greater London with a focus on innovation.
- Benefits: Gain hands-on experience, work in a dynamic environment, and develop your skills.
- Other info: Engaging environment with opportunities for professional growth and development.
- Why this job: Join a consulting-like role where your data insights make a real impact.
- Qualifications: Graduating in 2025 or 2026 with a quantitative degree and UK work rights.
The predicted salary is between 28800 - 43200 £ per year.
A leading payments technology company in Greater London is seeking a Data Scientist Graduate. In this role, you will work with clients to develop data-driven strategies and solutions by analyzing data and applying machine learning techniques.
Ideal candidates are graduating in 2025 or 2026, possess a quantitative degree, and have the right to work in the UK. This opportunity promises an engaging consulting-like environment focused on impactful data solutions.
Data Scientist Graduate - Client-Facing Analytics employer: Tink
As a leading payments technology company in Greater London, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our Data Scientist Graduate role offers not only the chance to engage with clients and develop impactful data-driven strategies but also provides ample opportunities for professional growth and development within a supportive environment. Join us to be part of a forward-thinking team where your contributions will make a real difference in the world of payments technology.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist Graduate - Client-Facing Analytics
✨Tip Number 1
Network like a pro! Reach out to professionals in the payments tech industry on LinkedIn. A friendly message can go a long way, and who knows, they might just point you towards an opportunity!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects or any machine learning models you've built. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on common data science interview questions and practice explaining your thought process. Remember, they want to see how you approach problems, not just the final answer.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you. Don’t hesitate to submit your application directly; it’s the best way to get noticed by our hiring team!
We think you need these skills to ace Data Scientist Graduate - Client-Facing Analytics
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant skills and experiences that align with the Data Scientist role. We want to see how your quantitative degree and any projects or internships relate to client-facing analytics.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our team. We love seeing enthusiasm for data-driven strategies!
Showcase Your Projects:If you've worked on any data analysis or machine learning projects, be sure to mention them in your application. We’re keen to see how you’ve applied your skills in real-world scenarios, especially in a consulting-like environment.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Tink
✨Know Your Data
Make sure you brush up on your data analysis skills and machine learning techniques. Be prepared to discuss specific projects or coursework where you've applied these skills, as this will show your practical understanding of the concepts.
✨Understand the Company
Research the payments technology company thoroughly. Understand their products, services, and the challenges they face in the industry. This knowledge will help you tailor your answers and demonstrate your genuine interest in the role.
✨Prepare for Client Scenarios
Since this role is client-facing, think about how you would approach working with clients. Prepare examples of how you've communicated complex data insights to non-technical audiences, as this will highlight your ability to bridge the gap between data and business needs.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready. Ask about the team dynamics, the types of projects you'll be working on, or how success is measured in this role. This shows that you're not just interested in the job, but also in how you can contribute to the company's goals.
