WNS Global Services

Insurance

DataScienceAnalytics(P&CInsuranceDomain)

₹45–70L ~AI est. Bangalore, Karnataka, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for mid candidates.

The Brief

“Data Science Analytics (P&C Insurance Domain) at WNS Global Services. Skills: Data Science, Analytics, P&C Insurance, Client engagement. Engage clients proactively. Co-create solutions for use cases”

What You'll Achieve.

Deliver measurable business outcomes; Ensure successful execution

Industry & Context.

Insurance
Problems you'll solve

Problem-solving; Conflict resolution

What They're Looking For.

Must Have

14+ years of experience in Data Science & Analytics, 5+ yrs into P&C Insurance, 5+ years client-facing delivery roles, Python proficiency, SQL proficiency, AWS suite basic knowledge, Databricks experience

Nice to Have

Project management certifications a plus, PMP a plus, GenAI exposure, Agentic AI exposure, LLMs exposure, Master’s degree

What You'll Do.

Engage clients proactively

Co-create solutions for use cases

Execute solutions with analytics stakeholders

Act as primary interface for Insurance clients

Develop executive-level relationships

Understand client pain points

Understand client strategic goals

Shape data-driven solutions

Provide thought leadership

Guide analytics-led transformation

Own end-to-end delivery of data and analytics projects

Ensure high-quality deliverables

Drive agile delivery practices

Manage delivery risks

Manage delivery issues

Enable transparent governance

Align project goals with business objectives

Leverage understanding of insurance processes

Translate business challenges into analytics solutions

Serve as SME on insurance analytics strategy

Liaise with WNS Analytics COEs

Liaise with GenAI teams

Liaise with Data Engineering teams

Liaise with Business Transformation teams

Foster collaboration across geographies

Manage senior stakeholder communication

Manage senior stakeholder reporting

Identify and resolve issues

Find solutions satisfying client and company

How You'll Work.

Team & Collaboration

WNS Analytics teams; Global stakeholders; Cross-functional WNS teams; Analytics COEs; GenAI; Data Engineering; Business Transformation; Across geographies

Communication Scope

Executive-level relationships; Senior stakeholder communication; Reporting

Process & Methodology

Agile, Scrum, PMP

Full Job 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 - Assoc Director/ Director to lead client-facing data and analytics programs in the P &C 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 wi

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