Data Scientist, Actimize
Core
Building predictive machine learning models to detect and prevent financial fraud by analyzing large datasets and identifying hidden patterns.
Role type
Data Scientist (Fraud Analytics)
Builds
Scalable analytical solutions and predictive models for fraud detection and prevention
Domain
Financial services / Fraud analytics
Deliverable
production ML models
Required skills
Python, SQL, statistical techniques (regression, time series), machine learning (clustering, decision trees, boosting), model deployment, data visualization
Preferred skills
fraud analytics domain knowledge, financial systems standards, Kubernetes, cloud platforms (AWS, Azure)
Responsibilities
Analyze complex datasets to identify fraud inconsistencies, build and optimize ML models for fraud detection, research data patterns to predict fraudulent transactions, enhance models with advanced algorithms, develop visualizations for stakeholders, collaborate with business teams and engineers, drive continuous improvement in data science practices, communicate findings to technical and non-technical audiences, support model deployment, contribute to innovation forums
Seniority
Mid-level (2-4 years experience), hands-on IC
