Senior Data Scientist, Payments Foundation Models
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Job Location:
Monthly Salary:
Posted on:
3 hours ago
Vacancies:
1 Vacancy
Job Summary
What its all about -
The Payments Foundation Models team is a new high-impact initiative within Visas Data Science organisation. Based in Cambridge UK and working closely with global Visa engineering and product teams the groups 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.
In your role as Senior Data Scientist Payments Foundation Models you will help us achieve our goals and deliver success on behalf of our customers by:
- 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 & other members of the team to align on the highest value items to work on
- Coordinating work across multiple teams & when needed taking on additional tech lead responsibilities for driving initiatives to completion.
- Identifying risks and testing assumptions before development
- End-to-end processing and modelling of large data sets
- Training deep learning models utilizing self-supervised training supervised fine-tuning or adaptation approaches.
- Ensuring new deep learning models successfully navigate model risk management processes ensuring high quality documentation exists alongside analytics products (reports presentations visualizations)
- Leading the deployment and maintenance of statistical models and algorithms
- Collaborating with data engineers to identify and implement improvements to tooling.
- Enabling both technical and non-technical colleagues by effectively communicating insights learnt during data science work
- Evangelizing on the benefits of deep learning models within Visa
- Recruiting for Data Scientists within the team
- Improving team processes and providing input to future team strategy
- Mentoring more junior members of the team as well as managing and prioritising their workload to ensure high-quality output.
- Developing a solid understanding of the fraud and financial crime industries
This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager.
Qualifications :
What wed like from you -
Preferred Qualifications:
Advanced degree in Data Science Computer Science Physics Mathematics or related field.
Strong background in machine learning statistical modeling and data engineering.
Enthusiasm for bringing cutting-edge deep learning models into production at Visa-wide scales.
Practical experience managing large-scale datasets and conducting end-to-end analytics projects.
Proficiency with programming languages such as Python or R and familiarity with SQL and big data tools.
Technical and analytical skills with the ability to pick up new technologies and concepts quickly.
Problem solving skills (especially in data-centric applications).
Strong clear concise written and verbal communication skills.
Ability to manage and prioritise personal workload
Excellent communication skills for technical and non-technical stakeholders.
Proven ability to lead cross-functional projects and mentor junior team members.
Ph.D. or other postgraduate level qualification with good mathematical background and knowledge of statistics
Experience with fraud detection risk analytics or financial crime prevention.
Experience developing models within a model risk management framework.
Experience with version control software and workflows (e.g. git)
Experience with PyTorch or another deep learning framework
Familiarity with the training and serving of artificial neural networks
Subject matter expertise in the banking and payments industry.
Additional Information :
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Remote Work :
No
Employment Type :
Full-time
Key Skills
- Laboratory Experience
- Mammalian Cell Culture
- Biochemistry
- Assays
- Protein Purification
- Research Experience
- Next Generation Sequencing
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Flow Cytometry
About Company
Visa (NYSE: V) is a world leader in digital payments, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories. Our purpose is to uplift everyone, everywhere by being the best way to pay and b ... View more
