Senior Analytics Engineer (with ML/AI experience)
Core
Design and develop robust analytical data models and feature engineering pipelines to serve as the authoritative source of truth for Finance, Operations, Marketing, and real-time AI/ML decisions.
Role type
Senior Analytics Engineer (Data Engineering & ML Readiness)
Builds
Data warehouse models, ELT pipelines, and scalable feature sets for dynamic pricing and risk assessment.
Domain
Insurance / Data Engineering / Machine Learning
Deliverable
production ML models | product features
Required skills
Data modeling, ELT pipeline management, feature engineering, cloud data warehousing, dbt, SQL, Python
Preferred skills
Real-time streaming (Apache Flink), AI/ML data evaluation, insurance domain knowledge
Technologies
dbt, Snowflake, Databricks, Apache Flink
Responsibilities
Design and build AI/ML-ready data models in the data warehouse; Integrate new data sources to enrich analytical capabilities; Manage ELT pipelines feeding reporting systems; Collaborate with engineering teams on application design for analytics requirements; Set technical standards and mentor junior engineers.
Seniority
Senior, hands-on IC