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- Tasks: Develop and deliver analytics-driven strategies for clients using data science.
- Company: Join Visa's innovative Data Science Lab team in Europe.
- Benefits: Gain hands-on experience, work with cutting-edge tools, and enjoy a collaborative environment.
- 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 projects with opportunities for growth and learning in a client-facing role.
The predicted salary is between 36000 - 60000 £ 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.
Principal Responsibilities
- 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.
Qualifications
- 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.
Visa will consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Data Science Graduate in London employer: Visa
Contact Detail:
Visa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Graduate in London
✨Tip Number 1
Network like a pro! Reach out to alumni from your university or connections in the data science field. A friendly chat can lead to insider info about job openings and even referrals, which can give us a leg up in the application process.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving predictive modelling or machine learning. This gives potential employers a taste of what we can do and how we approach problem-solving.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We should also be ready to discuss our past projects and how we’ve used data to drive business decisions. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows that you’re genuinely interested in joining our team and contributing to the exciting work we do.
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, machine learning, or programming in Python.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data science and how you can contribute to our team. Share specific examples of how you've tackled data challenges or collaborated on projects, showing your problem-solving skills.
Showcase Your Technical Skills: Don’t forget to mention your familiarity with tools like SQL, Hadoop, and Apache Spark. If you've worked on any predictive modelling or machine learning projects, make sure to include those details to demonstrate your technical prowess.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. This way, we can easily track your application and ensure it gets the attention it deserves!
How to prepare for a job interview at Visa
✨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 past projects or coursework, as this will show your practical understanding and ability to deliver impactful solutions.
✨Showcase Your Communication Skills
Since the role involves client-facing interactions, practice explaining complex data concepts in simple terms. Think about how you can convey your insights through storytelling and effective data visualisation. This will demonstrate your ability to engage with stakeholders and translate data into actionable business strategies.
✨Prepare for Collaborative Scenarios
Expect questions about teamwork and collaboration, as you'll be working closely with VCA consultants and clients. Have examples ready that highlight your experience in managing projects and working with diverse teams. This will show that you're not just a tech whiz but also a great team player.
✨Stay Current with Tools and Techniques
Familiarise yourself with the latest tools and methodologies in data science, like Hadoop, SQL, and Python. Be prepared to discuss how you’ve used these tools in your studies or projects. Showing that you’re proactive about learning and adapting will impress interviewers looking for innovation and efficiency.