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Data Scientist

3 months ago

London, Greater London, United Kingdom Ravelin Technology Limited Full time
We're a fraud detection company using advanced machine learning and network analysis technology to solve big problems. Our goal is to make online transactions safer and help our clients feel confident serving their customers.
We really value work/life balance and we embrace a flat hierarchy structure company-wide.

Join us and you'll learn fast about cutting-edge tech and work with some of the brightest and nicest people around - check out our Glassdoor reviews.

For more information check out our blog to see if you would like to help us prevent crime and protect the world's biggest online businesses.

We are currently looking for a mid level data scientist to join a fantastic team of client-facing data scientists and client support analysts.

You will be working with data scientists and crime analysts to discover patterns and trends concerning fraud in our clients' data.

In this key role, you'll be applying exploratory analysis to form realistic and useful narratives from data, asking "why" as well as "what" and "how".

You will interact directly and indirectly with clients to help them understand what is happening with their fraud, and help us to target our efforts ever more precisely.

Work directly with clients to provide fraud analytics and ML model insights
Analyse datasets with millions of rows to identify fraud patterns, trends and emerging threats to improve client performance
Discuss specific fraud problems with clients, in order to deeply understand how they manifest and to propose effective and elegant solutions
Prepare reports and present findings of analysis to clients when required
Identify new model features and improve model performance
Optimise the performance of our graph networks using network analysis
Get hands on experience with our cloud infrastructure and make the most of the available tools for enhancing our clients' data and performance
Build and automate internal tools in Python for optimising and improving our analytical capabilities
Experience or training as a data analyst, intelligence analyst or data scientist
Strong critical thinking skills, intuitively curious and able to diagnose data issues
Experience with SQL - ability to run complex queries to answer your own questions
knowledge, understanding or experience of network analysis
Experience with Python for data analysis (object-oriented programming experience is a bonus)
Flexible working hours, hybrid working model, office in Old Street and a £500 home office budget
~ 25 days holiday + bank holidays + extra day off per year of service (up to extra day off for cultural reasons
~ Extra Monthly company-wide days off - the Wellbeing & Learning Days
~£Mental health support through Spill
~ Weekly board game nights