Senior Data Scientist

Mastercard Inc.; Greater London; Presencial; GBP 90 000 - 130 000; Tempo integral

Resumo da oferta

Mastercard is seeking a Senior Data Scientist to join the Financial Crime Solutions team, developing and deploying ML solutions to prevent fraud in the global payments ecosystem. You will focus on Account-to-Account fraud, scams and mule detection, delivering measurable value to customers.

The role requires strong Python skills, experience with large-scale datasets, and the ability to communicate complex results to diverse audiences.

Qualificações

• Experience developing, evaluating, and deploying ML models in a commercial environment.
• Strong proficiency in Python for data science and machine learning.
• Experience working with structured and large-scale datasets.
• Ability to explain technical concepts and results to a variety of audiences.
• Curiosity and a willingness to challenge assumptions, learn new approaches, and continuously improve solutions.
• Ability to work independently while collaborating effectively across teams.
• A customer-focused mindset and an interest in understanding how data science creates real-world value.

Responsabilidades

• Configure, validate, and deploy machine learning models to customers around the world.
• Conduct Proof-of-Value exercises with customers to demonstrate model performance and business impact.
• Contribute to the research, development, and evaluation of new fraud, scam, and mule detection solutions.
• Support and improve production models as customer needs and fraud patterns evolve.
• Partner with Product, Customer Delivery, and Data Science colleagues to enhance our solutions and deliver greater customer value.
• Analyse complex datasets to identify opportunities for improved detection performance and customer outcomes.
• Contribute to a culture of learning, continuous improvement, and practical problem solving.

Conhecimentos

ML model development

Python

Data analysis

Communication

Independent work

Cross-functional collaboration

Problem solving

Ferramentas

PySpark

SQL

Descrição da oferta de emprego

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary Senior Data Scientist

Who is Mastercard?

Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

Role

The Financial Crime Solutions Data Science team is looking for a Senior Data Scientist to join the team and help develop, deploy, and support machine learning solutions that prevent financial crime across the global payments ecosystem. This role is primarily focused on Account-to-Account (A2A) fraud, scam, and mule detection, helping financial institutions identify and stop increasingly sophisticated forms of financial crime. The ideal candidate combines strong analytical skills with a practical mindset and is passionate about delivering solutions that create measurable value for customers. Successful candidates are intellectually curious, evidence-driven, and motivated by solving challenging real-world problems. They thrive in environments where learning, adaptability, and ownership are valued and where data science is expected to deliver tangible outcomes.

• Configure, validate, and deploy machine learning models to customers around the world.
• Conduct Proof-of-Value exercises with customers to demonstrate model performance and business impact.
• Contribute to the research, development, and evaluation of new fraud, scam, and mule detection solutions.
• Support and improve production models as customer needs and fraud patterns evolve.
• Partner with Product, Customer Delivery, and Data Science colleagues to enhance our solutions and deliver greater customer value.
• Analyse complex datasets to identify opportunities for improved detection performance and customer outcomes.
• Contribute to a culture of learning, continuous improvement, and practical problem solving.

All About You

Essential

• Experience developing, evaluating, and deploying machine learning models in a commercial environment.
• Strong proficiency in Python for data science and machine learning.
• Experience working with structured and large-scale datasets.
• Ability to apply scientific thinking and sound analytical approaches to solve complex problems.
• Strong communication skills, with the ability to explain technical concepts and results to a variety of audiences.
• Curiosity and a willingness to challenge assumptions, learn new approaches, and continuously improve solutions.
• Ability to work independently while collaborating effectively across teams.
• A customer-focused mindset and an interest in understanding how data science creates real-world value.

Desirable

• Experience with PySpark and distributed data processing.
• Experience building machine learning solutions for fraud, scams, mule detection, or broader financial crime use cases.
• Knowledge of the Account-to-Account (A2A) payments ecosystem.
• Familiarity with modern software development and model deployment practices.
• Experience working with payment, banking, or financial services data.

Corporate Security Responsibility

All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: Abide by Mastercard’s security policies and practices; Ensure the confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.

Everyone wants easier ways to pay; we invent them. Checkout lines are slow; we speed them along. Merchants want more sales; we give them data and insights. People need financial access; we connect them. Corporate purchasing is complicated; we make it simple. Commuters are busy; we speed them on their way. Governments need greater efficiencies; we help create them. Small businesses are virtual; we give them access to a world of buyers. Retailers want to fight fraud; we provide the tools.