WNS Global Services
Insurance
DataScienceAnalytics-AssocDirector/Director
Neural analysis suggests this role is
optimal for mid candidates.
“Data Science Analytics - Assoc Director/ Director at WNS Global Services. Skills: Data Science, Analytics, P&C Insurance, Client-facing. Lead client-facing data and analytics programs. Act as strategic partner for clients”
What You'll Achieve.
Deliver measurable business outcomes; Ensure high-quality deliverables; Aligned with client expectations, timelines, budgets, and success metrics
Industry & Context.
Problem-solving; Conflict resolution; Identify and resolve issues; Find solutions
What They're Looking For.
Must Have
14+ years of experience in Data Science & Analytics, 5+ yrs into P&C Insurance, 5+ years focused on client-facing and delivery roles in the Insurance sector, experience in delivering analytics and AI/ML solutions, Demonstrated consultative engagement skills, Mandatory Experience in toolsets of Tableau, Python, SQL and AWS suite (basic knowledge), Data bricks, Excellent interpersonal and communication skills, Bachelor's or master’s degree in engineering, Business, Data Science, or a related field
Nice to Have
Project Management certifications are a plus, Proficient in project management methodologies (Agile, Scrum, PMP a plus), Experience with Self-Service BI implementation in insurance, Exposure to GenAI or Agentic AI, LLMs
What You'll Do.
Lead client-facing data and analytics programs
Act as strategic partner for clients
Co-create solutions with WNS Analytics teams
Ensure successful execution of projects
Deliver measurable business outcomes
Own end-to-end delivery of data and analytics projects
Drive agile delivery practices
Manage delivery risks and issues
How You'll Work.
Team & Collaboration
Work closely with WNS Analytics teams; Liaise with cross-functional WNS teams; Foster collaboration across geographies; Manage senior stakeholder communication
Communication Scope
Excellent interpersonal and communication skills; Track record of building long-term client relationships; Manage senior stakeholder communication and reporting
Process & Methodology
Scoping, Planning, Execution, Monitoring, Closure, 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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