Data Scientist II at LexisNexis applying statistical analysis and building predictive models for fraud and credit risk. Collaborating with teams to enhance existing products and provide actionable insights.
About the role
- Pricing Data Scientist at Marshmallow developing insights for pricing strategies using data analysis. Collaborating with teams to enhance pricing initiatives based on data-driven insights.
Responsibilities
- Develop a deep understanding of Marshmallow’s quote, policy, and claims data to derive insights that enhance pricing strategies.
- Contribute to key pricing initiatives, including expansion plans and customer retention efforts.
- Communicate analytical findings effectively to senior leaders and cross-functional teams.
- Conduct data analysis using SQL and Python to drive decision-making.
- Support the deployment of models in APIs for real-time pricing applications.
- Collaborate with pricing team members to recommend changes and track their impact.
- Assess new external data sources to refine claims risk evaluation and quantify their value.
- Work closely with Engineering and ML Engineering teams to implement pricing strategies.
Requirements
- Ability to interrogate data and conduct pricing analysis within SQL & Python
- Ability to build GLMs, GBMs and other models within Python
- Prior experience in a data science role or STEM degree
Benefits
- A systemic problem of this magnitude requires a team of curious thinkers who relentlessly pursue solutions.
- Continuous growth, with learning at its core.
- Access to huge amounts of data with effective support from senior leadership.
Job title
Job type
Experience level
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Not specified
Degree requirement
Tech skills
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