Vice President, Data Scientist (London)

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Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, were helping build asustainableeconomy where everyone can prosper. We support a wide range of digital payments choices, making transactionssecure, 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

Vice President, Data Scientist Overview
The Security Solutions Data Science teams purpose is to use AI to secure the legitimate movement of money for everyone. The models generated are production ready and created to back specific products in Mastercards authentication, authorization networks and A2A payment networks. The Data Science team is also responsible for developing automated processes for creating models covering all modeling steps, from data extraction up to delivery. In addition, the processes must be designed to scale, to be repeatable, resilient, and industrialized.

You will be joining a team of Data Scientists and engineers working on innovative AI and ML models solving real world business problems. Senior leaders in our team epitomize enterprising autonomy, endless curiosity and excellence through improvisation. We are pursuing a highly motivated individual with strong problem-solving skills to take on the challenge of structuring and engineering data and cutting-edge AI model build and evaluation processes.

Role
As a VP of Data Scientist, you will:
Be the most senior practitioner and lead multiple teams of data scientists delivering production quality models that run in real time to screen transaction networks.
o Work closely with the business owners to understand business requirements, performance metrics regarding data quality and model performance of customer-facing products
o Oversee and hold accountable your teams work with multiple disparate sources of data, storage systems, and build processes and pipelines to provide cohesive datasets for analysis and modeling
o Oversee and hold accountable your teams creation and maintenance of pipelines for model building and model performance evaluation
Overall responsibility to ensure teams are developing, testing, and evaluating modern machine learning and AI models for multiple products
Interface with platform production teams to support implementation of models
Oversee and hold accountable your teams to evaluate production models based on business metrics to drive continuous improvement
Build and maintain relationships across the organization to understand product needs and influence platform engineering roadmaps to support latest model designs.

All About You

Essential Skills:
Extensive data science experience and significant leadership roles
Demonstrated full lifecycle model development, deployment and evaluation for complex problems
Experience with SQL language and the following technologies: PySpark, Hadoop, Databricks
Good knowledge of Linux / Bash environment
Python
XGBoost
Good communication skills
Highly skilled problem solver
Exhibits a high degree of initiative
At least an undergraduate degree in CS, or a STEM related field
Prior experience in payment fraud detection or AML modeling
Nice to have:
PhD/Masters in CS, Data Science, Machine Learning, AI or a related STEM field
Experience in with data engineering and model building in PySpark using Spark ML on petabyte scale data
Understands and implements methods to evaluate own work and others for bias, inaccuracy, and error
Loves working with error-prone, messy, disparate, unstructured 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:

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Apply
Location:
London
Job Type:
FullTime

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