WNS Global Services
AI Engineering
DeputyManager-DataScience
Neural analysis suggests this role is
optimal for mid candidates.
“Deputy Manager-Data Science at WNS Global Services. Skills: LLM application development, RAG, Python, SQL. Design conversational AI systems. Build LLM-powered pipelines”
What You'll Achieve.
enable lasting business value; deliver sustainable outcomes; differentiated impact
Industry & Context.
problem-solving with a systems-thinking mindset
What They're Looking For.
Must Have
Experience building LLM-based applications (RAG, copilots, or agents), Python + SQL skills, Hands-on experience with vector databases and embeddings, Understanding of semantic data models and KPI-driven analytics, Experience integrating AI with enterprise data platforms, communication and documentation skills, Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Engineering, or related field, foundation in machine learning, NLP, or distributed systems
Nice to Have
Experience with NL-to-SQL or conversational BI systems, Exposure to multi-agent systems or autonomous AI workflows, Familiarity with Databricks, MLflow, or AI notebooks, Experience in pharma or healthcare analytics, Knowledge of model fine-tuning, LoRA, or domain adaptation, Exposure to AI explainability frameworks and governance, Experience with cloud platforms such as AWS, Azure, or GCP, Knowledge of MLOps, CI/CD pipelines, and containerization tools like Docker/Kubernetes, Familiarity with databases, vector databases, and data engineering workflows, Exposure to LLMs, NLP, or Generative AI frameworks
What You'll Do.
Design conversational AI systems
Build LLM-powered pipelines
Translate business questions into AI workflows
Develop semantic-aware retrieval layers
Engineer prompt frameworks
Implement NL-to-SQL translation systems
Build multi-turn conversational agents
Develop automated narrative generation systems
Design evaluation frameworks
Optimize LLM system performance
Identify and prioritize AI use cases
Contribute to platform architecture
Mentor junior team members
How You'll Work.
Team & Collaboration
Partner with Commercial Analytics; Partner with Data Engineering; Partner with Product; Partner with Business stakeholders; Collaborate with Data Engineering and BI teams; Work across AI, data engineering, and business teams
Communication Scope
explain AI system behavior and limitations
Process & Methodology
drive end-to-end AI solutions
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. Job Description Group / Deputy Manager | AI Engineering – Conversational AI & Data Products (6–12 Years) Overview` Function Overview The AI Engineering function is focused on building next-generation conversational AI platforms that enable natural language interaction with enterprise data products for global pharmaceutical organizations. The team develops scalable AI systems that sit on top of commercial analytics data, enabling business users to query, explore, and derive insights through LLM-powered conversational interfaces. This function partners closely with Commercial Analytics, Data Engineering, Product, and Business stakeholders to transform traditional dashboards into AI-native, decision intelligence systems. The role sits within the Conversational AI & Data Products team, responsible for designing and deploying LLM-driven interfaces, retrieval systems, and AI agents that interact with governed enterprise data. Roles and Responsibilities * Design and develop conversational AI systems that enable natural language access to commercial analytics data products * Build and deploy LLM-powered pipelines (RAG, agents, co
Applying for this Deputy Manager-Data Science role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on SmartRecruiters
- SmartRecruiters often includes a video screening step — check camera and mic permissions.
- Link your GitHub or portfolio directly in the profile section for technical roles.
- Applications may be reviewed by AI scoring before reaching a recruiter — use keywords from the job description.
ANONYMOUS · UNFILTERED
What do employees actually say about WNS Global Services?
Real rants from real employees. Read before you apply.