Overview
The contract Data Scientist will focus on developing advanced analytical models to enhance customer insights within the insurance sector. Collaborating with enterprise clients, the contractor will leverage large-scale data to create segmentation, propensity, and forecasting models while ensuring timely delivery of production-ready outputs. The position requires minimal onboarding and emphasizes quick value addition in a dynamic environment.
Responsibilities
- Build customer segmentation, propensity, and forecasting models using large-scale datasets.
- Lead clustering and segmentation analysis with focus on core and sub-segmentations.
- Develop models related to motor and home insurance quote behavior.
- Translate business requirements into production-ready modeling outputs.
- Package models and deliver supporting assets for deployment and engineering teams.
- Deliver value quickly with minimal onboarding as an experienced contractor.
Requirements
- Strong experience in building customer segmentation and clustering solutions.
- Proven capability in propensity modeling and predictive analytics.
- Experience with notebook-based data science environments.
- Practical experience utilizing Microsoft Fabric and/or Databricks notebooks.
- Ability to develop and deploy scalable modeling solutions across large datasets.
- Understanding of insurance customer behavior, particularly in motor or home insurance.
- Ability to work independently in fast-paced project settings.