Data Science Strategist – AI Transformation Specialist

3 days ago


Jamnagar, Gujarat, India beBeeGenerative Full time ₹ 2,50,00,000 - ₹ 3,00,00,000

Job Overview:

We are seeking a visionary leader to spearhead large-scale AI strategy, execution, and leadership within the insurance domain. The ideal candidate will define and deliver a comprehensive Generative AI roadmap, lead global teams of 50+ data professionals, and design enterprise-scale AI solutions that transform underwriting, claims, fraud detection, pricing, and customer experience.

The successful candidate combines deep technical expertise, strong leadership skills, and insurance domain knowledge with the ability to engage C-level stakeholders and represent the organization as a thought leader in AI innovation.

  • Strategic Leadership
  • Define and execute the Generative AI strategy across core insurance functions (underwriting, claims, fraud, pricing, CX).
  • Identify business opportunities where AI/ML and LLMs can create measurable impact.
  • Team Management & Innovation
  • Lead, mentor, and scale global teams of data scientists, AI/ML engineers, and cloud specialists.
  • Foster innovation through hackathons, proof-of-concepts, and capability-building programs.
  • Architecture & Delivery
  • Architect, design, and deliver LLM-powered solutions using cutting-edge frameworks.
  • Oversee development and deployment of predictive, prescriptive, and generative AI models.
  • Ensure solutions are scalable, secure, and production-ready.
  • Governance & Compliance
  • Establish and enforce AI governance, ethical AI practices, and compliance frameworks.
  • Ensure all solutions align with regulatory and data privacy requirements.
  • Client Engagement & Thought Leadership
  • Collaborate with insurance leaders and clients to co-create high-value solutions.
  • Represent the organization in executive forums, client meetings, RFPs, and industry events.
  • Act as a thought leader, publishing insights and driving market recognition in AI for Insurance.


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