Data Scientist - Featurespace at Visa

Cambridge, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

12 Mar, 26

Salary

0.0

Posted On

12 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Machine Learning, Statistical Models, Python, Java, Problem Solving, Communication, Data Mining, Collaboration, Documentation, Mentoring, Technical Skills, Analytical Skills, Project Management, Fraud Detection, Financial Crime

Industry

IT Services and IT Consulting

Description

Company Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description At Visa, we are passionate about making a difference. We lead the way in disrupting fraud from multiple vectors. In this role you will be joining an exciting, innovative business new to the Visa family. At Featurespace, we strive to be the world’s best software company at protecting our clients and their customers from fraud attacks. We do that with personality, heart and professionalism, cultivating an innovative, fun and positive team atmosphere where everybody can contribute to solving our clients’ problems in new, innovative ways. We are always seeking to be the best at what we do and make our customers smile. 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 the end-to-end analytic products that exist within our Solutions, including data schemas, advanced statistical models, reporting configuration, and documentation. You will collaborate across the organisation with commercial, product, delivery, and engineering team to uncover opportunities to work on, share insights, and develop products. 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. Interacting with users (both internal and external) to understand their problems and sharing this insight with the rest of the team. Collaborating with Product Managers & other members of the team to align on the highest value items to work on Identifying risks and testing assumptions before development End-to-end processing and modelling of large customer data sets Deploying and maintaining of statistical models and algorithms Testing analytical models and their integration within the Featurespace platforms Ensuring high quality documentation exists alongside analytics products (reports, presentations, visualizations) Measuring, documenting, and improving outcomes associated with analytic products. Supporting the delivery teams delivering analytic products. Enabling both technical and non-technical colleagues by effectively communicating insights learnt during discovery and data analysis. 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 role, requiring three days per week in our Cambridge office. Qualifications Required experience: -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 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. -Practical experience of the handling and mining of large, diverse, data sets. -Experience of 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, 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.

Responsibilities

As a Data Scientist, you will develop and maintain analytic products, collaborating with various teams to uncover opportunities and share insights. You will also be responsible for end-to-end processing and modeling of large customer data sets and ensuring high-quality documentation.