At a Glance
- Tasks: Develop and deploy ML solutions to combat financial crime globally.
- Company: Join Mastercard's innovative Financial Crime Solutions team.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment focused on continuous learning and improvement.
- Why this job: Make a real impact in preventing fraud while working with cutting-edge technology.
- Qualifications: Experience in ML model development and strong Python skills required.
The predicted salary is between 63000 - 77000 £ per year.
Overview
As a Senior Data Scientist in Mastercard’s Financial Crime Solutions team, you will develop, deploy, and support ML solutions to prevent financial crime in the global payments ecosystem.
You’ll focus on Account-to-Account fraud, scams, and mule detection, helping institutions identify advanced risks.
You will work with cross-functional teams to deliver measurable value, improve detection, and evolve models with changing fraud patterns.
This role offers the opportunity to shape strategies and deploy scalable data-driven solutions in production.
Responsibilities
- Configure, validate, and deploy ML models for customers worldwide
- Conduct Proof-of-Value exercises to demonstrate model performance and business impact
- Research, develop, and evaluate fraud, scam, and mule detection solutions
- Support and improve production models as fraud patterns evolve
- Collaborate with Product, Customer Delivery, and Data Science teams to enhance solutions
- Analyze complex datasets to improve detection performance and outcomes
- Foster a culture of learning, continuous improvement, and practical problem solving
- Key requirements
- Experience developing, evaluating, and deploying ML models in a commercial environment
- Strong proficiency in Python for data science and ML
- Experience with structured and large-scale datasets
- Ability to apply scientific thinking and analytical approaches to complex problems
- Strong communication skills to explain technical concepts to diverse audiences
- Curiosity, willingness to challenge assumptions, and continuous improvement
- Ability to work independently while collaborating across teams
- Customer-focused mindset and understanding of data science value
- curiosity
- communication
- independence with collaboration
- Python
- Py Spark
- distributed data processing
Senior Data Scientist in London employer: MasterCard
Mastercard is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for a Director of Software Engineering. With a strong emphasis on employee growth, you will have access to cutting-edge tools and resources, as well as opportunities to mentor and lead talented teams across diverse geographies. The company's commitment to data-driven decision-making and AI-assisted development ensures that you will be at the forefront of technological advancements in a dynamic and supportive environment.
