Data Science / AI Lead

Job_Description”:”

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

Key Responsibilities:

**- **Project Leadership & Delivery
- Leads the end-to-end lifecycle of DSAI solutions, including design, planning, development, testing, deployment, and value realization. - Oversees data collection, exploratory data analysis (EDA), model development, evaluation, and deployment. - Collaborates with data leadership to track project progress and ensure alignment with business objectives. - **Cross-functional Collaboration
- Partners with Product Managers and the PMO to align project goals and execution. - Coordinates with IT teams for infrastructure provisioning, deployment, and support. - Works closely with Climate, Risk, GIS and Business teams to integrate domain expertise into DSAI solutions. - **Domain Expertise
- Applies experience in peril modelling for perils such as floods, inundation, cyclones, hailstorms, etc including supported perils. - Ensures scientific accuracy and relevance in modelling approaches. - **Operational Excellence
- Maintains and enhances the DSAI operating model to improve efficiency and productivity. - Recommends and implements best practices, tools, and frameworks for solution development. - **Team Management
- Manages the teams skill matrix and develops a structured learning calendar. - Oversees performance management processes including goal-setting, mid-year reviews, and annual evaluations. - Fosters a culture of innovation, accountability, and continuous improvement.

        Requirements

        **Qualifications / Skills / Experience:**

        **- Demonstrated experience in leading data science and AI teams.
        - Strong foundation in statistical modelling, machine learning, and AI deployment.
        - Experience in peril modelling, climate risk, insurance and geospatial analytics.
        - Excellent stakeholder management and cross-functional collaboration skills.
        - Proficiency with modern data science tools, Azure cloud platform, and deployment frameworks.
        - Minimum 7-8 years in data science/AI roles, with at least 2-3 years in a lead position.
        - Familiarity with agile project management and enterprise IT environments.
        - Strong leadership, communication, and mentoring abilities.  

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