Principal Data Science P and C Insurance AD Bangalore

Company DescriptionWNS part of Capgemini is an Agentic AIpowered 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 AIpowered 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 humanled 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 Job DescriptionObjective 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 datadriven solutions As a technical leader the role combines handson delivery with leadership responsibilities including guiding small onshore and offshore teams The scope includes rapid prototyping piloting AI solutions scaling productionready 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 organizations 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 highimpact AI and data science initiatives including intelligent automation and AIenabled decision support Develops AIdriven 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 efficiency and customer satisfaction Promotes innovation communicates complex technical concepts to business leaders and demonstrates the value of AI through prototypes presentations and successful business outcomes Contributes to the continuous enhancement of AI platforms tools methodologies governance frameworks and ethical AI practices to ensure highquality scalable solutions Key Stakeholder RelationshipsBuilds trusted relationships with internal business leaders and stakeholders providing strategic guidance on AI and data science capabilities to support business objectives Maintains strong external networks within the broader Data Science and AI community to stay informed about emerging trends technologies and best practices Experience minimum type and level of experience required to perform the role We are looking for 8 years practising in Data Science AI or closely related disciplinesKey Capabilities Technical CompetenciesThe ideal candidate possesses deep expertise in Data Science Artificial Intelligence and Machine Learning with proven experience delivering valuedriven analytical solutions preferably within the financial services domain They have a strong understanding of current and emerging AI techniques enabling them to distinguish practical highimpact solutions from industry hype The role requires excellence in endtoend data science solution design combining technical expertise with humancentered design principles to solve complex business problems from first principles Strong knowledge of business data ecosystems advanced analytics machine learning algorithms AI system design and modern data science platforms is essential Experience with scalable data engineering practices distributed computing Spark and machine learning engineering is highly valued The successful candidate is outcomeoriented focusing on delivering measurable business value while balancing technical excellence with practical