Key skills
PythonSparkSQLMachine Learning
About this role
Role Overview
- Design and improve fraud detection systems prioritizing high-risk claims
- Collaborate across teams and functions with fraud analysts, engineers, and product managers
- Develop deep expertise in fraud dynamics, identifying emerging fraud patterns
Requirements
- Extensive experience (3+ years) in data science or applied machine learning
- Strong analytical and quantitative mindset
- Structured problem solver skilled at framing ambiguous challenges
- Strong Python programming skills, especially in the data domain
- Knowledge of Spark, SQL, or any other data-oriented programming language
Tech Stack
- Python
- Spark
- SQL
Benefits
- Hybrid working with a mix of home and office days
- Work from anywhere for up to 30 days per year
- Access to learning resources
- Mentorship
- Growth plan tailored to you
- Private healthcare
- Gym discounts
- Wellbeing programs
- Mental health support