Overview
At Visa and Featurespace, we focus on protecting our clients and their customers from fraud. This role is part of a team delivering end-to-end analytic products within our Solutions, including data schemas, advanced statistical models, reporting configuration, and documentation. You will collaborate with commercial, product, delivery, and engineering teams to uncover opportunities and develop products.
The Opportunity
As a Data Scientist you will help us achieve our goals and deliver success on behalf of our customers by developing and maintaining analytic products. You will work across the organisation to uncover opportunities, share insights, and contribute to product development.
Responsibilities
* Interacting with internal and external users to understand problems and share insights with the team
* Collaborating with Product Managers and others to prioritise high-value items
* Identifying risks and testing assumptions before development
* End-to-end processing and modelling of large customer data sets
* Deploying and maintaining statistical models and algorithms
* Testing analytical models and their integration within the Featurespace platforms
* Ensuring high-quality documentation for analytics products (reports, presentations, visualisations)
* Measuring, documenting, and improving outcomes of analytic products
* Supporting delivery teams delivering analytic products
* Communicating insights to both technical and non-technical colleagues
* Improving team processes and contributing to future team strategy
* Mentoring junior team members and prioritising workload to ensure high-quality output
* Developing a solid understanding of the fraud and financial crime industries
This is a hybrid position with a requirement to attend the office 3 days a week.
Qualifications
Must haves
* Good degree in a scientific or numerate discipline (e.g., Computer Science, Physics, Mathematics, Engineering) or equivalent work experience
* Experience implementing statistical models and analytics algorithms in software
* Experience using Python, Java, or another major programming language for data analysis, machine learning, or algorithm development
* Technical and analytical skills with the ability to learn new technologies quickly
* Problem-solving skills in data-centric applications
* Strong written and verbal communication skills
* Ability to manage and prioritise personal workload
* Practical experience handling and mining large, diverse data sets
* Experience collaborating with multiple stakeholders on technical projects
Additional Information
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Seniority level
* Mid-Senior level
Employment type
* Full-time
Job function
* Other
Industries
* IT Services and IT Consulting
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