Data Scientist, Ravelin
Investigations
Technology to prevent payments fraud
Job no longer available
Technology to prevent payments fraud
101-200 employees
Job no longer available
101-200 employees
Company mission
To predict risk with unmatched accuracy and speed, to enable its clients to prevent fraud and accept payments with confidence.
Role
Who you are
- 1 years' 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
- Knowledge of supervised and unsupervised ML techniques
- Desirable: some knowledge, understanding or experience of network analysis
- Desirable: hands-on experience with DBT
What the job involves
- We are currently looking for a Junior level Data Scientist to join a fantastic team of client-facing data scientists and client support analysts
- You will be working 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 internal tools in Python for optimising and improving our analytical capabilities
Salary benchmarks
Our take
Fraud is a multi-billion dollar problem for the eCommerce industry, and one that Ravelin is tackling head-on. The company develops machine learning-based technology to help online merchants and payment service providers reduce losses to fraud, and improve the acceptance rates of orders.
Ravelin aims to give merchants more confidence in accepting customers and transactions, while tackling organised fraud rings. The value of such an offering is clear, which is how the company has secured enterprise customers like Just Eat and Quiqup.
A 2022 partnership with Mastercard enabled Ravelin to enhance its platform with digital identity verification capabilities and real-time fraud insights. In 2025, it was acquired by Worldpay as part of its strategy to accelerate its eCommerce growth through investing in innovation and AI technology.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 4 rounds)
Jul 2020
$22.2m
SERIES C
Sep 2018
$10.9m
SERIES B
Total funding: $38.9m
Company benefits
- Remote first
- Mental health support
- Charity "Gives Back" initiative
- Volunteering opportunities
- Flexible hours
- Employer-contributed pension scheme
- Equity scheme
- Lunches twice a month (& the office kitchen is stocked with treats and goodies)
- Home office budget
- One day each quarter dedicated to learning and personal development
- Individual yearly learning budget of £1000, and access to company wide training
- Comprehensive medical cover through AXA or US equivalents, including dental and optical cash back
- Remote fitness - virtual yoga twice a week, team HIIT sessions, and online Pilates class
- Socials (in-person & virtual)
Company HQ
Old Street, London, UK
Leadership
Martin
(CEO)Founding engineer at Hailo, and lead developer at Hub Culture.
Mairtin
(COO & Co-founder)Head of Fraud at Hailo. 10 years experience working as a crime intelligence analyst for organisations such as the Metropolitan Police
Nick
(CFO & Co-founder)Finance Director at Hailo. Previously Finance Director for Canonical (technology to deliver open source software).
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