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- 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: Engaging consulting environment with opportunities for impactful work.
- Why this job: Join a dynamic team and make a real difference with data-driven solutions.
- Qualifications: Graduating in 2025 or 2026 with a quantitative degree and UK work rights.
- Other info: Perfect for those looking to kickstart their career in data science.
The predicted salary is between 28800 - 48000 £ 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 in London employer: Tink
Contact Detail:
Tink Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist Graduate - Client-Facing Analytics in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the payments tech industry on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show your interest in data-driven solutions.
✨Tip Number 2
Prepare for those interviews! Brush up on your machine learning techniques and be ready to discuss how you've applied them in your studies or projects. We want to see your passion for data and how you can bring value to our clients.
✨Tip Number 3
Showcase your skills with a portfolio! Create a GitHub repository or a personal website where you can display your data analysis projects. This gives us a glimpse of your capabilities and creativity in developing data-driven strategies.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows us you’re genuinely interested in joining our team and making an impact in the world of payments technology.
We think you need these skills to ace Data Scientist Graduate - Client-Facing Analytics in London
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 data-driven strategies.
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 client-facing analytics. Let us know what excites you about working with clients.
Showcase Your Technical Skills: Don’t forget to mention any machine learning techniques or tools you’re familiar with. We love seeing practical examples of how you've applied these skills in your studies or projects.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
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 communicate complex data insights to non-technical stakeholders. Prepare examples of how you've done this in the past or how you would approach it in a hypothetical situation.
✨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 might work on, or how success is measured in this role. This shows your enthusiasm and helps you gauge if the company is the right fit for you.
