Data Science Analytics (P&C Insurance Domain)

Company Description

WNS, part of Capgemini, is an Agentic AI-powered leader in intelligent operations and transformation, serving more than 700 clients across 10 industries, including Banking and Financial Services, Healthcare, Insurance, Shipping and Logistics, and Travel and Hospitality. We bring together deep domain excellence – WNS core differentiator – with AI-powered platforms and analytics to help businesses innovate, scale, adapt and build resilience in a world defined by disruption.Our purpose is clear: to enable lasting business value by designing intelligent, human-led solutions that deliver sustainable outcomes and a differentiated impact. With three global headquarters across four continents, operations in 13 countries, 65 delivery centers and more than 66,000 employees, WNS combines scale, expertise and execution to create meaningful, measurable impact.

We are seeking a dynamic and experienced Data Science Analytics Manager to lead client-facing data and analytics programs in the Insurance domain. This role combines consultative engagement, domain expertise, and project delivery leadership, acting as a strategic partner for our clients in Australia. The individual will work closely with WNS Analytics teams at offshore and global stakeholders to co-create solutions, ensure successful execution, and deliver measurable business outcomes across the insurance value chain

Key Responsibilities

Client Engagement & Advisory

• Focused on Consultative engagement: Effective in proactive engagement, to suggest and cocreate solutions to relevant use cases and then work with internal WNS Analytics stakeholders to execute
• Act as the primary interface for Insurance clients in Australia, developing strong executive-level relationships.
• Understand client pain points, strategic goals, and use cases; shape data-driven solutions in collaboration with internal analytics teams.
• Provide thought leadership and consultative guidance on analytics-led transformation within the Insurance domain (Focus on P&C – Motor, Home, Workers Compensation, Commercial, CTP). (excluding – health, life, pet, travel)

• Own the end-to-end delivery of data and analytics projects, including scoping, planning, execution, monitoring, and closure.
• Ensure high-quality deliverables aligned with client expectations, timelines, budgets, and success metrics.
• Drive agile delivery practices, manage delivery risks and issues, and enable transparent governance.

• Understanding of business principles and the ability to align project goals with overall business objectives.
• Leverage deep understanding of insurance processes (Claims or Contact Center Operations).
• Translate business challenges into analytics solutions using advanced analytics, reporting, AI/ML, and data engineering.
• Serve as a credible SME and trusted advisor on insurance analytics strategy, use case development, and data product design.

• Liaise with cross-functional WNS teams including Analytics COEs, GenAI, Data Engineering, and Business Transformation.
• Foster collaboration across geographies to enable global delivery with local context.
• Manage senior stakeholder communication and reporting, ensuring alignment on goals and outcomes.

• Ability to identify and resolve issues, manage conflicts, and find solutions that satisfy both the client and the company.

Must-Have:

• 14+ years of experience in Data & Analytics, 5+ yrs into P&C Insurance , 5+ years focused on client-facing and delivery roles in the Insurance sector.
• Strong experience in delivering analytics and AI/ML solutions across functions like claims, policy management, new business and broker performance.
• Demonstrated consultative engagement skills – shaping and influencing analytics initiatives aligned to business strategy.
• Experience in toolsets of Tableau, Python, SQL and AWS suite (basic knowledge), Data bricks.
• Excellent interpersonal and communication skills, with a track record of building long-term client relationships.

• Proficient in project management methodologies (Agile, Scrum, PMP a plus) with a strong delivery mindset.
• Experience with Self-Service BI implementation in insurance.
• Exposure to GenAI or Agentic AI , LLMs

• Be a strategic face of WNS Nexts data and analytics capabilities in Australia.
• Partner with industry leaders in transforming the insurance industry through data-led decisions.
• Work at the intersection of domain depth, innovation, and delivery excellence.

Educational Background:

• Bachelors or masters degree in engineering, Business, Data Science, or a related field.
• Project Management certifications are a plus