Teams at Tiger Analytics

Leads growth for the Insurance business through hyperscaler and data-platform partnerships. Builds partner relationships, identifies client opportunities, develops AI/ML proposals, expands accounts, and drives market growth. Translates client needs into enterprise data science and AI solutions, leads solution deployment, defines data science roadmaps, mentors technical teams, and strengthens AI/ML service offerings. Requires extensive Data and AI consulting, enterprise solution delivery, business development, and partner ecosystem experience.

Leads analytics consulting engagements using data science and advanced analytics to solve complex business problems. Manages project planning, stakeholder coordination, cross-functional delivery, and analytical solution development. Translates business requirements into actionable insights, presents recommendations to senior stakeholders, supports pricing analytics initiatives, and collaborates with technology teams on cloud-based analytics and data engineering solutions.

Develop and refactor Python optimization algorithms for supply chain, inventory allocation, replenishment, and pricing optimization. Build predictive models, analyze large datasets, design experiments, monitor KPIs, and provide data-driven recommendations. Collaborate with business stakeholders and data science teams to deliver analytical solutions, while coaching colleagues and applying advanced statistical and operations research methods.