Lead Data Scientist Job at Mastercard (London)

Job Description

As a Data Scientist, you will join one of the first teams in the world looking at payments data in the UK and across the world. In the research discipline you will help build systems that expose money laundering and detect fraud as well as work with the other data scientists and clients to understand the underlying behaviours employed by criminals. You will be product focused, working in close collaboration with our engineering and operations data scientists as well as the wider sales, consulting, and product teams.

Job Responsibility

Perform proof-of-concept projects, engage in product design and build prototypes
Use the full range of data science based techniques to develop new and novel algorithms to aid existing and new financial crime products
Be able to perform novel research to help us and our clients understand the different criminal behaviours in payments data
Think about how derived insights can be turned into new products and services we can offer to external clients
Be ready to learn new technologies as required and engage with legacy and future technology stacks, in the UK and internationally
Write white papers, patents, and client facing data visualisations
Consider the full impact of your work, including privacy, security, and regulation, as well as the performance of your code and the accuracy of your models

Requirements

You can write Python to a high standard and are familiar with the standard data science libraries such as pandas, scikit-learn and networkx
You are capable of developing new algorithms in novel situations and can demonstrate previous work to evidence this
You are keen to understand the data we work with and have a keen interest in how to model the behaviours it exposes
You are able to communicate with non-tech colleagues about technical matters, and you are comfortable putting yourself in other people's shoes
You are happy and excited to explore new programming languages, technologies, and techniques
You have a can-do attitude, can be pragmatic where necessary, and are excited to work as part of a specialist team
You can engage in constructive criticism and aren't afraid to have your code reviewed

Nice to have

Practical experience using streaming technologies, including streaming platforms (e.g. Kafka), online algorithms (e.g. stochastic gradient descent), and fixed-memory data structures (e.g. Bloom Filters)
Experience using next generation machine learning techniques and tools, including Deep Neural Networks and TensorFlow
Exposure to Network Theory, especially social network analysis and graph diffusion analysis
Ability to build custom data visualisations, prototype browser based UX/UI, and the server side microservices to support them

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Lead Data Scientist

Job Description

Job Responsibility

Requirements

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