Data Scientist

• Support markets with ENSUM+(Expert Net Sales Uplift Model) modelling for Expert-related financial planning. Develop and run ad-hoc investment choice simulations to inform local decisions. Empower markets with actionable insights.
• Consolidate ENSUM+ & Expert MMM learnings from markets to inform central analyses and business-wide applications Identify Expert growth drivers and support prioritization across BMCs.
• Conduct data quality audits and transform Expert-related datasets for use in MMM and other analytics. Enable reliable and accurate data for value tracking and decision-making.
• Transition Expert tracking data to centralised systems. Support implementation of new analytics use-cases requiring data asset access and triangulation.
• Lead end-to-end analysis triangulating Expert KPIs with market share/sales data. Deliver insights to support investor relations and executive decision-making.
• Design and execute new test-and-learn experiments identified in the 2026-27 roadmap. Improve predictive models and business planning assumptions. Run validation of tools/models

Senior Data Scientist – Commercial, Marketing Analytics

Account Manager

• Serve as the primary strategic contact for key client accounts.
• Build strong, trust-based relationships and act as an advisor on procurement and delivery matters.
• Lead business reviews, contract renewals, and long-term planning discussions.
• Align delivery and procurement solutions to meet client objectives and expectations.
• Own financial performance for assigned accounts, including revenue, margin, and cost controls.
• Develop and execute account growth plans.
• Identify upsell and cross-sell opportunities to expand services.
• Track and forecast account-level financials, ensuring commercial viability.
• Oversee procurement, sourcing, and delivery operations to ensure quality, compliance, and efficiency.
• Develop strategic account plans covering growth, risk, retention, and profitability.
• Engage with senior stakeholders internally and externally, including C-level client leaders.
• Monitor client satisfaction and proactively resolve issues.
• Lead and mentor teams across India, Costa Rica, and the U.S.

Director – Sourcing/Procurement Services, Account Management

Actuary

• Perform roll-forward analysis, including assumption changes and impact analysis, for designated products.
• Manage regular production activities, including Quarter Close processes, Stat Overlay, and ad hoc requests related to hedging and Asset Liability Management (ALM).
• Ensure the team adheres to a robust control framework, completing all required controls, reviews, and documentation in a timely manner.
• Promote effective communication and collaboration across valuation teams to support knowledge transfer and consistency in methodologies.
• Identify opportunities to streamline and improve business processes, with a strong focus on automation, scalability, and long-term maintainability.
• Develop, enhance, and maintain comprehensive documentation for existing valuation and reporting processes to support transparency, audit readiness, and operational resilience.

Analyst, Actuarials

• Develop, maintain & enhance non-life pricing models across various lines of business using GLMs/ machine learning techniques and advanced actuarial methods
• Ability to build dashboards in Power BI to communicate pricing insights and performance metrics
• Prepare price monitoring report to track price trends and identify potential areas of adjustment.
• Contribute to development of GenAI-driven solutions for pricing automation, documentation and modeling workflows.
• Good to have knowledge on reserving concepts, including claims development patterns and loss ratio analyses.
• Strong analytical and problem solving skills along with the ability to communicate complex technical concepts clearly to non-technical stakeholders

Deputy Manager – Actuarial

Operations

• Role involves handling inbound calls from customers/agents to resolve queries on their accounts
• Should meet/exceed business KRAs - NPS, Quality, Productivity, AHT or any other metrics specified by Business / Process
• Should be ok with working in 24* 7 environment, spilt offs and rotational shifts
• Should be willing to work from office

Lead Associate – Operations

Backend Engineer

• Develop agentic AI workflows using LangChain/LangGraph
• Implement LLM applications with advanced prompt engineering
• Build and deploy event-driven AI services on AWS
• Write clean, testable Python code
• Monitor and optimize AI application performance

Assistant Manager – 4 to 6 years' experience, Python, Agentic AI

Marketing Analyst

• Support markets with ENSUM+(Expert Net Sales Uplift Model) modelling for Expert-related financial planning
• Develop and run ad-hoc investment choice simulations to inform local decisions
• Consolidate ENSUM+ & Expert MMM learnings from markets to inform central analyses and business-wide applications
• Conduct data quality audits and transform Expert-related datasets for use in MMM and other analytics
• Transition Expert tracking data to centralised systems
• Deliver insights to support investor relations and executive decision-making
• Design and execute new test-and-learn experiments identified in the 2026-27 roadmap

Senior Marketing Analytics Specialist

AI Research Scientist

• Responsible for managing the Cognitive Services/AI ML part of End-to-End Digital Transformation Solutions for different BUs and HUs
• As a Leader of Digital Transformation within WNS Business Transformation Group, you will be responsible to enable digital solutions led sales and lead customer presentations focused on Cognitive Intelligence, AI ML, Analytics Engine & integrating it with other digital levers components and accelerators
• You will be responsible to help the business units through innovative new cognitive services solutions for the client’s business operations focused on driving cost efficiency, revenue generation and other client business outcomes
• You will be responsible to work on large deals involving multiple digital levers i.e., AI/ML, advanced analytics, workflows & rules engine, immersive customer experience, complex integrations of client’s existing platforms/systems/products with our newly built solutions and accelerators. You will be involved in understanding the detailed process maps, process entitlement studies, finding the right white spaces where Cognitive Services/AI ML/ Advance Analytics can be applied, creating a strong transformation roadmap, and executing it on the ground to achieve the required outcomes and impact.
• Work collaboratively with the technology, research and Analytics, and product teams to identify the right technology solutions fit for the transformation roadmap by building the solution design, functional architecture, technical architecture, Components/Accelerators level architecture showing the integration mechanisms, deployment architecture.
• Creating the new AI ML capabilities that are reusable, modular, and configurable assets (components and accelerators) and embedding it into the end-to-end solution to solve a real industry problem
• Plan created for the cognitive services solution and then work on creating a business case with right outcomes and benefits aligned
• Engagement with client senior leadership to present your roadmap and engage in a co-creation-based implementation of the identified solutions
• You will be responsible to drive the contractual transformation KPI’s committed to the client organizations through your teams’ effort and manage the overall program to deliver the right benefits within the factored timeframe.
• Engage in the transformation solution creation process for new business along with the sales and pre-sales team and defend the transformation levers and solutions best fit to meet the business case
• Based on the roadmap anchoring the RFP response where required and supporting the detailed solution run-through
• Evaluate new technologies for the domain expertise and work with alliance teams for on-boarding

Deputy Manager – AI Research

• Develop GenAI models/solutions for text generation and content automation.
• Experience of working at any of the latest AI stacks like Nvidia- Nemo, NIM Microservices, Pytorch, Tensorflow etc.
• Fine-tune and operationalize LLMs (e.g., GPT, Llama, BERT) for NLP tasks using Nemo, NIM, UnSloth etc frameworks
• Develop solution based on latest coding standards like Pep-83
• Experience in developing NLP components like QnA, chatbots, Summarization etc.
• Experience in developing deep learning components like Image/Video/Audio processing/classification, OCR based components like Extraction etc.

AI Scientist

• Design, develop, test, and maintain robust web and backend applications using .NET / .NET Core
• Build and consume RESTful APIs and microservices
• Develop scalable cloud-based solutions using Microsoft Azure
• Work with Azure services such as App Services, Azure Functions, Storage Accounts, Azure SQL, Key Vault, and Azure DevOps
• Design and optimize SQL Server databases, stored procedures, and queries
• Develop responsive UI components using React or AngularJS
• Collaborate with cross-functional teams including product, QA, DevOps, and UI/UX
• Perform code reviews and ensure adherence to best practices and coding standards
• Troubleshoot, debug, and optimize application performance
• Participate in architecture discussions and technical decision-making

Deputy Manager – .Net Developer, Angular – 5 to 7 years' Experience

Director

• Establish and maintain effective relationships with customers (internal and external) by determining the customers’ business requirements and looking for new ways to provide value to the customers.
• Support Corporate Development efforts related to Sales and Implementation. Analyze Pre-Engagement Reports, providing an Executive Summary with key findings and detailing opportunities for intervention.
• Receive, record and assign all requests. Translate the customers’ business needs into data/systems requirements. Prioritize and manage concurrent projects in order to meet deadlines and ensure customer satisfaction.
• Direct and administer the compilation, analysis, validation and dissemination of healthcare information to the customer. Perform data validation and process verification to ensure accuracy and appropriateness of reported information. Ensure documentation of all reports and analyses.
• Hire, train, supervise and evaluate staff. Coach, develop and mentor direct reports. Assist them in obtaining a better understanding of how to turn business requirements into meaningful reports and analyses.
• Assist with the preservation and continuous development of an accurate Data Warehouse. Ensure the integrity of data extracts used in reporting and analysis functions.
• Conceptualize, design and validate reports to meet routine identified needs. Ensure data is methodologically and statistically sound and that reporting is meaningful and accurate. Work with IT to automate reports.
• Perform complex data extractions and manipulations, which culminate in the design and production of meaningful ad-hoc analyses and/or reports as needed.
• Identify methodologies to determine variances that are statistically significant for over- and under-utilization.
• Develop methodologies for the creation of benchmarks.
• Establish and ensure compliance with departmental policies, procedures and standard methodologies.
• Perform other duties as assigned.

Associate Director – MEI

Sales

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Consultant – WTS, Salesforce

Program Manager

• Assist in SAP development, including coding and unit testing of RICEFW objects and integrations.
• Support senior developers in debugging and resolving SAP system issues.
• Work on enhancements/ development and bug fixes in SAP ECC6 and S/4 systems
• Help transform functional requirements into technical specifications under guidance.
• Collaborate with business users to understand system requirements and provide basic support.
• Document technical specifications, system configurations, and process flows.
• Learn and follow best practices for SAP development and implementation.

Program Analyst – SAP ABAP, 2 to 3 years experience

• Build and deploy GenAI models for text generation and content automation.
• Experience in developing like QnA, chatbots, Image/Video/Audio processing, OCR based components like Extraction etc.
• Experience in designing and implementing end-to-end pipelines for Retrieval-Augmented Generation (RAG), including document indexing, retrieval mechanisms
• Experience in evaluating AI solutions using appropriate metrics

Senior AI Scientist

• Combine deep industry knowledge with technology and analytics expertise to co-create innovative solutions
• Deliver BPM services in finance and accounting, procurement, customer interaction, and human resources