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For Companies At a Glance
- Tasks: Develop and evaluate cutting-edge AI models for payments solutions.
- Company: Join Visa, a global leader in payments technology.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic team environment with potential for significant career advancement.
- Why this job: Make a real impact on global payment systems and tackle meaningful challenges.
- Qualifications: Experience in data science and a passion for innovative technology.
The predicted salary is between 60000 - 80000 £ per year.
About Us
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.
Job Description
What it's all about
The Payments Foundation Models team is a new, high-impact initiative within Visa’s Data Science organisation. Based in Cambridge, UK, and working closely with global Visa engineering and product teams, the group’s mission is to build the next generation of payments-focused foundation AI models. These models will power a range of premium Risk and Identity Solutions (RaIS) products, such as fraud scores, with the goal of generating more than 100M dollars in new revenue by FY2030 and may be extended into other domains such as credit risk modelling or agentic commerce personalization.
Role
Developing, training, evaluating, documenting and disseminating Payments Foundation Models for use in data science and AI projects across Visa. Collaborating across the organization with engineering, data science, research, product and commercial teams to improve the quality, adoption and real-world impact of our models. This is a hands‑on technical role in the Individual Contributor track at the Consultant or Manager level, with scope to influence data science standards and practices while working on high-Impact, Visa-scale systems.
Responsibilities
- We hire people with a willingness to adapt to a variable role, so along with the key responsibilities below, we ask for ownership of any other duties as required.
- Collaborating with Product Managers
Staff Data Scientist, Payments Foundation Models employer: Visa
Contact Detail:
Visa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Data Scientist, Payments Foundation Models
✨Tip Number 1
Network like a pro! Reach out to current employees at Visa on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills and understanding of payments technology. We recommend practising common data science problems and being ready to discuss how your experience aligns with Visa's mission.
✨Tip Number 3
Showcase your passion for payments and AI! During interviews, share specific examples of projects you've worked on that relate to fraud detection or risk modelling. This will demonstrate your fit for the role and the team.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining Visa.
We think you need these skills to ace Staff Data Scientist, Payments Foundation Models
Some tips for your application 🫡
Show Your Passion for Payments: When writing your application, let us see your enthusiasm for the payments industry. Share any relevant experiences or projects that highlight your interest in data science and how it can transform payment solutions.
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Staff Data Scientist role. Highlight your skills in developing and evaluating AI models, and don’t forget to mention any collaborative projects you've worked on with cross-functional teams.
Be Clear and Concise: We appreciate clarity! Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to see your key achievements and skills at a glance.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Visa
✨Know Your Models
Make sure you’re well-versed in the latest AI and data science models, especially those related to payments. Be ready to discuss your experience with developing, training, and evaluating models, as this will show your technical expertise and relevance to the role.
✨Showcase Collaboration Skills
Since the role involves working closely with various teams, prepare examples of past collaborations. Highlight how you’ve worked with product managers, engineers, or other data scientists to achieve a common goal. This will demonstrate your ability to work in a team-oriented environment.
✨Understand Visa's Impact
Familiarise yourself with Visa’s mission and the specific challenges they face in the payments industry. Being able to articulate how your skills can contribute to their goals will set you apart and show that you’re genuinely interested in the company.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving abilities and knowledge of data science practices. Brush up on relevant algorithms, coding skills, and statistical methods. Practising with mock interviews can help you feel more confident and articulate during the actual interview.