Data Science Investigations

AI in this role

Who are we?Hi! 👋 We are Ravelin! 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.And we have fun in the meantime! We are a friendly bunch and pride ourselves in having a strong culture and adhering to our values of empathy, ambition, unity and integrity. 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.If this sounds like your cup of tea, we would love to hear from you! 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.
The RoleWe are currently looking for a 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.

Key Responsibilities

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 internal tools in Python for optimising and improving our analytical capabilities

Skills, Knowledge and Expertise

Experience or training as a data analyst, intelligence analyst or data scientist
Strong critical thinking skills, intuitively curious and able to diagnose data issues
Strong communication and presentation skills
Diligence, attention to detail, ability to prioritise and follow through on tasks
Experience with SQL - ability to run complex queries to answer your own questions
Experience with Python for data analysis (object-oriented programming experience is a bonus!)
Knowledge of supervised and unsupervised ML techniques
Desirable: some knowledge, understanding or experience of network analysis
Desirable: hands-on experience with DBT

How we rate this

Data Science Investigations at Ravelin rates 9 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.