Data Analyst

3 weeks ago


Pune, Maharashtra, India Capgemini Full time

Capgemini Data Scientist Job Summary

Capgemini is seeking a highly skilled and detail-oriented Data Scientist to work with our team on a top 10 US Insurance Carrier project. The successful candidate will be part of a team that provides actionable and measurable insights to leaders and service process owners, driving improvements across the organization. As part of the Service Analytics Reporting and AI team, you will facilitate the integration of new treatments, technology, and data into agent and customer-facing processes. You will automate and optimize key initiatives through AI or robotic process automation, and deliver comprehensive 360-degree insights into the health and efficiency of the servicing capabilities.

This role will be responsible for the lifecycle of operationalized advanced analytic modeling in decision and process flows. This includes exploratory analysis and case building, model development with data stability planning, model testing, model implementation, model management and performance monitoring, monetization of results, and delivery of insights and business outcomes, as well as subsequent champion challenger planning with model risk management.

The ideal candidate will have a strong background in advanced analytics, statistics, math, and economics, with experience in AI, LLM utilization, and implementation. Proficiency in R, Python, SAS, or model development tools of choice, as well as SQL, Power BI, and visualization tools, is essential. Familiarity with Gen AI is a plus. The successful candidate will have a minimum of 7-9 years of experience in this field, with a bachelor's degree and a strong track record of delivering business outcomes.

Key Responsibilities:

  1. Develop and implement advanced analytic models to drive business outcomes
  2. Collaborate with cross-functional teams to integrate new treatments, technology, and data into agent and customer-facing processes
  3. Automate and optimize key initiatives through AI or robotic process automation
  4. Deliver comprehensive 360-degree insights into the health and efficiency of servicing capabilities
  5. Monitor and manage model performance, making adjustments as needed to ensure optimal results

Benefits:

  • Competitive compensation and benefits package
  • Comprehensive benefits package
  • Career development and training opportunities
  • Flexible work arrangements (remote and/or office-based)
  • Dynamic and inclusive work culture within a globally renowned group
  • Private Health Insurance
  • Pension Plan
  • Paid Time Off
  • Training & Development
  • Performance Bonus


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