Our Client is one of the United States’ largest insurers, providing a wide range of insurance and financial services products with gross written premium well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, our Client is part of one the largest Insurance Groups in the world.
About the Position
We’re looking for an Associate Decision Scientist to join a collaborative, high-impact team that works on large-scale, meaningful business challenges. In this role, you’ll be shaping and optimizing the pipelines, conducting in-depth statistical analyses, and building predictive models that influence key business decisions. From day one, you’ll work closely with stakeholders across functions to explore questions, tell stories through data, and drive innovation through analytics.
You’ll have the opportunity to design dashboards with Power BI and Excel, help build end-to-end data pipelines using SQL and Python, and develop your knowledge in statistical modeling, machine learning, and data storytelling. The problems we tackle are challenging and require creativity, critical thinking, and curiosity.
Requirements
Must have
- 1 to 3 years of experience;
- Experience with SQL, Python;
- Experience with Power BI or other data visualization tools;
- Entry level knowledge with modeling and machine learning algorithms;
Nice to have
- Insurance and actuarial skills;
Benefits
- Competitive salary and performance-based bonuses
- Comprehensive benefits package
- Career development and training opportunities
- Flexible work arrangements (remote)
- Dynamic and inclusive work culture within a globally renowned group
- Private Health and Dental Insurance
- Pension Plan
- Meals tickets
- Life Insurance
Skills Required
- 1 to 3 years of experience
- Experience with SQL, Python
- Experience with Power BI or other data visualization tools
- Entry level knowledge with modeling and machine learning algorithms
- Insurance and actuarial skills
Capgemini Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Capgemini and has not been reviewed or approved by Capgemini.
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Healthcare Strength — Health coverage is positioned as comprehensive, spanning medical, dental, and vision alongside life and AD&D options. Additional wellbeing supports like employee assistance programs, gym discounts, and pet insurance broaden the value beyond core insurance.
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Parental & Family Support — Family-related benefits include maternity/paternity leave and broader family-forming support such as fertility and surrogacy assistance in some locations. Inclusive caregiving supports like back-up child and elder care and out-of-state medical travel are also highlighted.
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Equity Value & Accessibility — Equity participation is available through recurring employee share ownership or purchase programs, creating a longer-term wealth-building option in addition to salary. Eligibility and local access can vary, so confirming participation windows and requirements is important.
Capgemini Insights
What We Do
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 270,000 team members in nearly 50 countries. With its strong 50 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 reported in 2020 global revenues of €16 billion.
