Senior Data Scientist - Fraud Detection - Madrid, Comunidad de Madrid, Spain

Senior Data Scientist (Fraud Detection) Madrid / WFH to €65,000

Are you a Data Scientist with Fraud Detection experience?

You could be progressing your career in as a Senior Data Scientist as part of a friendly and supportive international team at a growing and hugely successful European car insurance tech company as they expand their UK presence.

As a Senior Data Scientist within the Anti Fraud Team you'll design and improve fraud detection systems that prioritise high risk claims, optimising the trade-off between detection accuracy and operational efficiency. Developing deep expertise in fraud dynamics, you'll identify emerging fraud patterns, understand how they evolve across the insurance lifecycle and translate these insights into effective detection and prevention strategies.

Collaborating across teams and functions, you'll work closely with fraud analysts, engineers and product managers within a supportive, diverse environment where you'll have your voice heard.

Location / WFH:

The company is a big advocate of flexible working and prides itself on DEI; you can work from home most of the time, meeting up with colleagues in the Madrid office once a week.

About you:

• You have experience in analytical fraud detection in the Insurance, Finance or Law Enforcement sectors
• You have a strong knowledge of network analysis, anomaly detection or risk scoring and segmentation to real fraud problems
• You have strong Python programming skills , especially in the data domain, and fluent use of Git
• You have a good knowledge of Spark, SQL or other data-oriented programming language and are proficient with standard data wrangling and modelling libraries (e.g. Pandas, Keras, XGBoost, LightGBM)
• You're collaborative and pragmatic with great communication skills

What's in it for you:

As a Senior Data Scientist (Fraud Detection) you will receive a competitive package:

• Salary to €65,000 + bonus
• Ability to work 30 days from any EU country
• Diverse, inclusive team environment with a range of support networks (e.g. LGBTIQA+, Women's Networking group)