Data Science / AI Lead

Kshema; Hyderabad; On-site; INR 2,500,000 - 5,000,000; Full time

Job summary

Kshema General Insurance Limited (Kshema) is seeking a DSAI Lead to drive data science and AI initiatives across product, IT, climate, risk, GIS and business teams. This senior role leads a multidisciplinary team to design, develop, test, deploy and realize value from data-driven insurance solutions.

The role emphasizes peril modelling, climate risk analytics, and scalable data platforms with Azure. Strong leadership and stakeholder collaboration are essential for impactful outcomes.

Qualifications

• Demonstratedexperience in leading data science and AI teams.
• Strongfoundation in statistical modelling, machine learning, and AI deployment.
• Experiencein peril modelling, climate risk, insurance and geospatial analytics.
• Excellentstakeholder management and cross-functional collaboration skills.
• Proficiencywith modern data science tools, Azure cloud platform, and deployment frameworks.
• Minimum7-8 years in data science/AI roles, with at least 2-3 years in a leadposition.
• Familiaritywith agile project management and enterprise IT environments.
• Strongleadership, communication, and mentoring abilities.

Responsibilities

• Leadsthe end-to-end lifecycle of DSAI solutions, including design, planning,development, testing, deployment, and value realization.
• Overseesdata collection, exploratory data analysis (EDA), model development,evaluation, and deployment.
• Collaborateswith data leadership to track project progress and ensure alignment withbusiness objectives.
• Partnerswith Product Managers and the PMO to align project goals and execution.
• Coordinateswith IT teams for infrastructure provisioning, deployment, and support.
• Worksclosely with Climate, Risk, GIS and Business teams to integrate domainexpertise into DSAI solutions.
• Appliesexperience in peril modelling for perils such as floods, inundation,cyclones, hailstorms, etc including supported perils.
• Ensuresscientific accuracy and relevance in modelling approaches.
• Maintainsand enhances the DSAI operating model to improve efficiency andproductivity.
• Recommendsand implements best practices, tools, and frameworks for solutiondevelopment.
• TeamManagement
• Managesthe team’s skill matrix and develops a structured learning calendar.
• Overseesperformance management processes including goal-setting, mid-yearreviews, and annual evaluations.
• Fostersa culture of innovation, accountability, and continuous improvement.

Skills

Leading data science teams

Statistical modelling

Machine learning

AI deployment

Peril modelling

Climate risk

Geospatial analytics

Stakeholder management

Azure cloud

Agile project management

Enterprise IT

Tools

Azure

Job description

Kshema General Insurance Limited (Kshema) was established in 2018 and is India's only Digital Agri Insurance Company catering to farmers/cultivators in the Agriculture Sectors. Kshema enables cultivators with resilience from financial distress due to extreme climate events and perils through localised insurance products. Kshema is leveraging Technology to provide cutting edge insurance solutions to farmers.

Kshema has a pan India presence with more than 500+ employees on roles along with 500+ employees as contractors.

Job Description

The DSAI Lead is responsible for driving business impactthrough the strategic delivery of Data Science and AI (DSAI) projects. Thisrole leads a multidisciplinary team and works closely with Product Management,IT, Climate, Risk, GIS and Business teams to ensure the successfulimplementation of data-driven solutions. The incumbent ensures that the DSAIoperating model functions effectively and evolves to meet organizational needs.

Key Responsibilities:

• ProjectLeadership & Delivery
  
• Leadsthe end-to-end lifecycle of DSAI solutions, including design, planning,development, testing, deployment, and value realization.
  
• Overseesdata collection, exploratory data analysis (EDA), model development,evaluation, and deployment.
  
• Collaborateswith data leadership to track project progress and ensure alignment withbusiness objectives.
  
• Partnerswith Product Managers and the PMO to align project goals and execution.
  
• Coordinateswith IT teams for infrastructure provisioning, deployment, and support.
  
• Worksclosely with Climate, Risk, GIS and Business teams to integrate domainexpertise into DSAI solutions.
  
• DomainExpertise
  
• Appliesexperience in peril modelling for perils such as floods, inundation,cyclones, hailstorms, etc including supported perils.
  
• Ensuresscientific accuracy and relevance in modelling approaches.
  
• Maintainsand enhances the DSAI operating model to improve efficiency andproductivity.
  
• Recommendsand implements best practices, tools, and frameworks for solutiondevelopment.
  
• TeamManagement
  
• Managesthe team’s skill matrix and develops a structured learning calendar.
  
• Overseesperformance management processes including goal-setting, mid-yearreviews, and annual evaluations.
  
• Fostersa culture of innovation, accountability, and continuous improvement.
  

Requirements

Qualifications / Skills / Experience:

• Demonstratedexperience in leading data science and AI teams.
  
• Strongfoundation in statistical modelling, machine learning, and AI deployment.
  
• Experiencein peril modelling, climate risk, insurance and geospatial analytics.
  
• Excellentstakeholder management and cross-functional collaboration skills.
  
• Proficiencywith modern data science tools, Azure cloud platform, and deploymentframeworks.
  
• Minimum7-8 years in data science/AI roles, with at least 2-3 years in a leadposition.
  
• Familiaritywith agile project management and enterprise IT environments.
  
• Strongleadership, communication, and mentoring abilities.