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- Tasks: Engage with clients to deliver predictive modelling and machine learning solutions.
- Company: Leading global payment technology firm in the UK.
- Benefits: Gain hands-on experience in a dynamic, client-facing role.
- Why this job: Make a real impact by driving data-driven decisions for clients.
- Qualifications: Graduate or postgraduate degree in a quantitative field and strong communication skills.
- Other info: Join a collaborative team focused on innovative analytics.
The predicted salary is between 28800 - 43200 £ per year.
A leading global payment technology firm in the United Kingdom is seeking a Data Scientist Graduate to join their client-facing Data Science Lab team. The role emphasizes collaborative project delivery through predictive modeling and machine learning to support external clients.
Candidates should possess a graduate or postgraduate degree in a quantitative field, be graduating soon, and have strong communication skills. This position will involve engaging with clients to drive data-driven business decisions.
Data Science Graduate — Client-Facing Analytics & ML in London employer: Visa Inc.
Contact Detail:
Visa Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Graduate — Client-Facing Analytics & ML in London
✨Tip Number 1
Network like a pro! Reach out to alumni or professionals in the data science field. A friendly chat can lead to valuable insights and even job leads.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving predictive modelling and machine learning. This will give potential employers a taste of what you can do.
✨Tip Number 3
Practice your communication skills! Since this role is client-facing, being able to explain complex data concepts in simple terms is key. Try explaining your projects to friends or family.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Science Graduate — Client-Facing Analytics & ML in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your quantitative skills and any relevant projects you've worked on. We want to see how you can apply your knowledge in real-world scenarios, especially in predictive modelling and machine learning.
Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Data Science Graduate role. We love seeing candidates who understand what we’re looking for.
Communicate Clearly: Since this role involves engaging with clients, strong communication skills are a must. Make sure your written application is clear and concise, showcasing your ability to explain complex concepts in an understandable way.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Visa Inc.
✨Know Your Data Science Basics
Make sure you brush up on your fundamental data science concepts, especially predictive modelling and machine learning. Be ready to discuss how you've applied these in your studies or projects, as this will show your understanding and readiness for the role.
✨Show Off Your Communication Skills
Since this role is client-facing, practice explaining complex data concepts in simple terms. Think of examples where you've had to communicate technical information to non-technical audiences, as this will demonstrate your ability to engage with clients effectively.
✨Research the Company and Its Clients
Dive into the company’s background and understand their client base. Knowing their products and services will help you tailor your answers and show that you're genuinely interested in how you can contribute to their success.
✨Prepare Questions for Them
Have a few thoughtful questions ready to ask at the end of the interview. This could be about their approach to client projects or how they measure success in the Data Science Lab. It shows your enthusiasm and helps you gauge if the company is the right fit for you.
