Wnsglobalservices144

Principal Data Science - P&C Insurance - AD- Bangalore

Bangalore, KA, IndiaFull timeStaffPosted 20 days ago
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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. Objective of the RoleThe Principal Data Scientist is a key leader in the Data Science team, responsible for designing and delivering complex AI and data science initiatives that drive significant business value. This role leverages advanced analytics, cognitive computing, and AI to support strategic objectives, enhance customer experience, improve operational efficiency, and enable business growth through data-driven solutions.As a technical leader, the role combines hands-on delivery with leadership responsibilities, including guiding small onshore and offshore teams. The scope includes rapid prototyping, piloting AI solutions, scaling production-ready models, and embedding industrialized data science assets into core business processes.The role also drives innovation in advanced text analytics and Generative AI (GenAI) to enhance automation and customer experience.The Principal Data Scientist is instrumental in shaping the organization’s AI and data science strategy by developing, implementing, and governing scalable analytical solutions that solve complex business problems and deliver measurable outcomes.Key BehavioursProvides clear direction, sets expectations, makes informed decisions, and holds teams accountable for achieving outcomes.Demonstrates honesty, integrity, fairness, and sound risk management while empowering teams to deliver results.Acts in the best interests of customers, champions innovation and digital transformation, promotes flexible ways of working, fosters collaboration and inclusivity, and creates an environment that prioritizes safety, wellbeing, diversity, and continuous learning.Key AccountabilitiesLeads high-impact AI and data science initiatives, including intelligent automation and AI-enabled decision support.Develops AI-driven customer engagement solutions that improve customer interactions across products and channels.Identifies and applies emerging AI technologies while providing technical leadership and mentoring to data science teams.Partners with senior stakeholders to translate business challenges into analytical solutions that improve revenue, efficie...