Lead Data Scientist providing data science expertise and technical leadership for Caterpillar aftermarket parts forecasting. Managing complex analytics processes and ensuring accurate insights generation for critical business decisions.
About the role
- Senior Data Scientist in the Anti Fraud Team at Prima, improving fraud detection across UK and Spain.
Responsibilities
- Design and improve fraud detection systems that prioritize high-risk claims, optimizing the trade-off between detection accuracy and operational efficiency
- Collaborate across teams and functions, working closely with fraud analysts, engineers, and product managers
- Develop deep expertise in fraud dynamics, identifying emerging fraud patterns, understanding how they evolve across the insurance lifecycle, and translating these insights into effective detection and prevention strategies, for example identifying suspicious networks of related claims, synthetic entities, or anomalous behavioral patterns
Requirements
- At least 3 years of experience in analytical fraud detection in the Insurance, Finance or Law Enforcement domain
- Applied knowledge of network analysis, anomaly detection or risk scoring and segmentation to real fraud problems
- Strong Python programming skills, especially in the data domain, and fluent use of Git
- Knowledge of Spark, SQL or any other data-oriented programming language and proficiency with standard data wrangling and modeling libraries (Pandas, Sklearn, Keras, XGBoost, LightGBM, etc.)
- Nice-to-Have: Experience in motor insurance
- In-depth knowledge of graph databases (Neo4j, AWS Neptune) and analytics (NetworkX, GNN) or explainability applied to anomaly detection
- Knowledge of BI tools (Tableau or similar)
- Proficiency in Italian and/or Spanish
Benefits
- Private healthcare
- Gym discounts
- Wellbeing programs
- Mental health support
- Learning resources
- Mentorship
- Growth plan tailored to you
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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