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SeniorFull-timeData ScienceAIData
Salary Range
$99,450 - $134,550 /year
This salary is estimated based on similar roles. The actual salary may vary.
About the Role
The Payments Foundation Models team is a new, high-impact initiative within Visa’s Data Science organization. Based in Cambridge, UK, the team is focused on building the next generation of payments-focused foundation AI models that will power premium Risk and Identity Solutions products.
Key Responsibilities
- →Develop, train, evaluate, document, and disseminate Payments Foundation Models for use in data science and AI projects across Visa.
- →Collaborate with engineering, data science, research, product, and commercial teams to improve model quality, adoption, and real-world impact.
- →Align with Product Managers on the highest value items to work on.
- →Coordinate work across multiple teams and take on additional tech lead responsibilities when needed.
- →Identify risks and test assumptions before development.
- →Process and model large data sets end-to-end.
- →Train deep learning models using self-supervised training, supervised fine-tuning, or adaptation approaches.
- →Ensure new deep learning models navigate model risk management processes with high-quality documentation.
- →Lead the deployment and maintenance of statistical models and algorithms.
- →Collaborate with data engineers to improve tooling.
- →Communicate insights effectively to both technical and non-technical colleagues.
- →Evangelize the benefits of deep learning models within Visa.
- →Recruit Data Scientists within the team.
- →Improve team processes and contribute to future team strategy.
- →Mentor junior team members and manage their workload.
- →Develop a solid understanding of the fraud and financial crime industries.
Requirements
- ✓Strong background in Data Science and AI.
- ✓Experience with developing, training, and evaluating deep learning models.
- ✓Proficiency in Python, SQL, and cloud platforms.
- ✓Ability to collaborate across multiple teams and take on leadership responsibilities.
- ✓Strong communication and mentoring skills.
- ✓Understanding of fraud and financial crime industries.
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