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- Tasks: Develop and deliver analytics-driven strategies for clients using data science.
- Company: Join a leading global payments technology company with a focus on innovation.
- Benefits: Gain hands-on experience, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by solving business challenges with data-driven insights.
- Qualifications: Graduating in 2025 or 2026 with a degree in a quantitative field.
- Other info: Dynamic role with exposure to diverse projects and collaboration with industry experts.
The predicted salary is between 28800 - 48000 £ per year.
The Data Scientist Graduate is a key member of the client-facing Data Science Lab team in the European region. As a Data Scientist, you will be accountable for the development and delivery of analytics-driven strategies and solutions for Visa's external clients in Europe. In this role, you will work collaboratively with VCA and a multitude of internal functions, their senior leaders, and our clients in promoting an insight-driven culture, creative analytic solutions, and best practices to drive business performance with a clear commercial 'value' and measurable 'return'. Half of your day will involve delivering projects (coding/working with data), and the other half will be dedicated to discussing data requirements and managing internal and external meetings. Please bear in mind that our workload varies tremendously, as each project is very bespoke. Sometimes we might be delivering a CSV file; another time, a predictive machine learning model or segmentation. Whatever the solution is, you will be involved in the end-to-end process, starting from gathering clients' requirements all the way to delivering actionable insights that enable our clients to make data-driven business decisions.
- Promote the use of data science to solve business challenges for external clients, showcasing creative and impactful solutions.
- Collaborate with VCA consultants to identify and develop data science opportunities that support business development and revenue growth.
- Apply predictive modeling and machine learning techniques to improve client outcomes in areas like customer acquisition, retention, and profitability.
- Analyze VisaNet data to uncover key performance metrics and identify issuer P&L opportunities that drive growth for clients and Visa.
- Deliver business-centric insights through effective data visualization and storytelling that support strategic decision-making.
- Engage with internal and external stakeholders to understand business requirements and translate them into actionable data science solutions.
- Manage multiple data science projects, ensuring clear scope, methodology, and alignment with client goals and timelines.
- Develop and execute analytic plans using appropriate statistical and data mining techniques, while maintaining thorough project documentation.
- Enhance existing solutions by introducing new methodologies, tools, and best practices in the field of data science.
- Automate processes and stay current with emerging tools, software, and techniques to continuously improve efficiency and innovation.
What we're after:
- Permanent right to work in the UK
- Graduating in 2025 or in summer 2026.
- Graduate/Postgraduate degree (Master's or Ph.D.) in a quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, Engineering, or equivalent experience.
- Fluent in English.
- Ability to communicate with impact and interest in working in a consulting-like environment and client-facing project roles.
- Familiarity with modern distributed systems, including Hadoop, SQL, MLP, and Apache Spark.
- Familiarity with one or more data analytics/programming tools such as Python.
- Knowledge of applying predictive modelling and machine learning techniques to problems.
Data Science Graduate 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 in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even casual coffee chats. The more you engage with professionals, the better your chances of landing that dream job.
✨Show Off Your Skills
Create a portfolio showcasing your data science projects. Whether it's a predictive model or a cool visualisation, having tangible examples of your work can really impress potential employers. Don't forget to share it on platforms like GitHub!
✨Ace the Interview
Prepare for interviews by practising common data science questions and case studies. Be ready to discuss your thought process and how you approach problem-solving. Remember, they want to see how you think, not just what you know!
✨Apply Through Our Website
Don't miss out on opportunities! Make sure to apply through our website for the best chance at getting noticed. We love seeing passionate candidates who are eager to join our team!
We think you need these skills to ace Data Science Graduate in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Science Graduate role. Highlight any relevant projects or coursework, especially those involving data analysis, predictive modelling, or machine learning.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data science and how you can contribute to our team. Be specific about your experiences and how they relate to the job description.
Showcase Your Technical Skills: Don’t forget to mention your familiarity with tools like Python, SQL, and any experience with distributed systems. We want to see how you’ve applied these skills in real-world scenarios, so include examples where possible!
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’re considered for the role. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Visa Inc.
✨Know Your Data Science Stuff
Make sure you brush up on your knowledge of data science concepts, especially predictive modelling and machine learning techniques. Be ready to discuss how you've applied these in your studies or projects, as this will show your practical understanding and readiness for the role.
✨Showcase Your Communication Skills
Since this role involves client-facing interactions, practice explaining complex data concepts in simple terms. Think about examples where you've had to communicate insights effectively, whether through presentations or reports, and be prepared to share those experiences.
✨Prepare for Technical Questions
Expect some technical questions related to programming tools like Python, SQL, or Hadoop. Brush up on your coding skills and be ready to solve problems on the spot. Practising with sample coding challenges can really help you feel more confident.
✨Understand the Business Context
Familiarise yourself with Visa's business model and how data science can drive value for clients. Think about how you can contribute to their goals and be ready to discuss how data-driven insights can impact business performance during your interview.
