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About the Role
We are 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.
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
Requirements
- 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
- Candidates must meet pre-employment checks: unspent criminal convictions, employment verification, and right to work.
Skills
- Data analysis
- Intelligence analysis
- Data science
- Critical thinking
- Communication
- Presentation skills
- Diligence
- Attention to detail
- Prioritization
- Follow-through
- SQL
- Python
- Object-oriented programming
- Supervised ML techniques
- Unsupervised ML techniques
- Network analysis
- DBT
Location
- London
Work Type
- Full Time
- Remote-First Environment
Benefits
- Flexible Working Hours
- Comprehensive BUPA Health Insurance
- £1,000 Annual Wellness and Learning Budget
- Monthly Wellbeing and Learning Day
- 25 Days Holiday + Bank Holidays + 1 Extra Cultural Day
- Mental Health Support via Spill
- Aviva Pension Scheme
- Ravelin Gives Back
- Fortnightly Randomised Team Lunches
- Cycle-to-Work Scheme
- BorrowMyDoggy Access
- Weekly Board Game Nights & Social Budget
About the Company
- Ravelin is 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 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.
- We help prevent crime and protect the world's biggest online businesses.