Data Science Director
3 weeks ago
ROLE: Director or AVP
Location: Noida, Gurgaon, Pune, Bangalore
EXP: 12-17 years
Expertise: Experience in data science, machine learning, and AI in the insurance domain, particularly in P&C insurance
- Manage development from product conceptualization to general availability and support/maintenance
- Develop a data science-driven strategy in collaboration with key stakeholders
- Determine how to leverage data science, machine learning, and other analytical techniques to offer actionable insights for the insurance industry client
- Manage projects end-to-end, including stakeholder management, communication, and risk mitigation
- Define project schedules, allocate resources, and manage scope and time
- Align project objectives and team alignment on objectives
- Understand customer needs and translate them into detailed use cases, design, and implementation specifications
- Continuously design, develop, and implement data science solutions
- Understand current market trends, risks, and prevalent technologies in data science and insurance
Requirements:
- Proven experience as a data scientist or similar role with 10+ years of experience in P&C insurance
- Experience in implementing multiple AI/ML projects end-to-end from conceptualization to production deployment
- Strong technical understanding of data science, machine learning, and analytical methodologies, with hands-on experience in adapting to client needs and scale
- Demonstrable track record in leading large, complex data science and analytics projects that drive tangible business gains in P&C insurance
- Ability to frame business problems, coach data scientists, and develop careers
- Proven project management and delivery expertise
- A knack for statistical analysis and predictive modeling
- Versatility in developing products on multiple technology stacks
- Polished verbal and written communication style
Preferred Qualifications:
- Experience and detailed knowledge of the P&C insurance industry
- Detailed, practical understanding of insurance operations and underwriting, as well as in-depth knowledge of functional areas within diverse insurance organizations
- Strong insurance acumen
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