Team Function:
Advanced analytics for personal lines insurance teams, including business analysis from statistical analysis to advanced Machine Learning modeling to describe and predict business outcomes to enable business to make data-informed decisions. Develops and manages advanced analytics products for personal lines business.
The Associate Decision Scientist will be responsible for transforming data into actionable insights, developing robust statistical models, and supporting business decisions through advanced analytics.
Role Description:
- Conduct advanced statistical analysis to answer business questions.
- Develop advanced business analytics dashboards.
- Develop automated ETL processes, dashboard and reporting refresh processes.
- Develop descriptive and predictive machine learning models.
- Design and implement statistical and predictive models to support business strategy
- Build standardized models within ELT (Extract, Transform, Load) processes
- Develop analytical reports and dashboards using BI tools
- Learn and apply internal company data, with a focus on insurance
- Collaborate with analytics teams and data resources to maximize insights
- Serve as a technical reference for statistical analysis and predictive modeling
- Contribute to the definition of KPIs and metrics for this newly formed team
Requirements
Total Work Experience
- Preferred: 1-3
English Proficiency
- Fluent
Required Education
Bachelor
- Required Branch(es) of study
Statistics - Mathematics
- Data Science
- Business Analytics
- Computer Science
Other Critical Skills
- SQL - Intermediate
- Python - Intermediate
- Machine Learning - Intermediate
- Data Modeling - Intermediate
- Microsoft Power BI - Intermediate
Benefits
This position comes with competitive compensation and benefits package:
- Competitive salary and performance-based bonuses
- Comprehensive benefits package
- Home Office model
- Career development and training opportunities
- Flexible work arrangements (remote and/or office-based)
- Dynamic and inclusive work culture within a globally known group
- Private Health Insurance
- Pension Plan
- Paid Time Off
- Training & Development
- *Note: Benefits differ based on employee level
About Capgemini
Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 340,000 team members in more than 50 countries. With its strong 55-year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group €22.5 billion in revenues in 2023.
https://www.capgemini.com/us-en/about-us/who-we-are/
