Data Science Specialist

WNS; Bengaluru; On-site; INR 1,500,000 - 2,200,000; Full time

Job summary

WNS in Bengaluru is seeking a Data Scientist for AI Solutions & Frameworks to define solution architecture and analytics frameworks, embedding Generative AI and Agentic AI into scalable blueprints for clients.

The role moves beyond model development toward end-to-end AI pipelines, pre-sales support, and thought leadership in responsible AI, vector databases, and retrieval-augmented generation, delivering measurable business impact.

Qualifications

• Bachelor’s degree in a quantitative field such as Data Science or CS.
• Minimum of five years of professional experience in advanced analytics or data science.
• At least two years focused on consulting, solution architecture, or framework development.
• Generative AI expertise with LLMs, vector databases, and RAG techniques.

Responsibilities

• Lead problem structuring and design end-to-end AI frameworks.
• Architect AI pipelines using ML and GenAI components.
• Infuse GenAI and Agentic AI into scalable client solutions.
• Support pre-sales with technical proposals and concepts.

Skills

GenAI design

RAG techniques

Problem structuring

Executive communication

Consulting experience

Framework design

Education

Bachelor’s degree in quantitative field

Master’s degree or MBA in quantitative field

Tools

Python

PySpark

Databricks

Snowflake

Cloud (AWS/Azure/GCP)

Job description

Job DescriptionRole: Data Scientist, AI Solutions & Frameworks

This is a highly strategic and consultative role responsible for defining the solution architecture and analytical framework to address complex client business challenges. The role moves beyond model development to focus on incorporating Generative AI, Agentic AI, and other advanced techniques into scalable, repeatable frameworks that drive commercial impact for clients.

Key Responsibilities

Client Problem Structuring & Framework Design

Act as a lead consultant to internal and external stakeholders, diagnosing complex business problems and translating them into a definitive, multi-stage analytical solution framework.

Design and architect end-to-end AI pipelines that utilize both traditional ML and modern Gen AI components to create repeatable, high-value solution blueprints for client delivery teams.

Focus on achieving measurable business outcomes by ensuring the proposed framework maximizes client value and is scalable across multiple accounts.

Advanced AI Infusion & Innovation

Lead the integration of Generative AI (LLMs/VLMs) into solution frameworks for tasks like information retrieval, automated summarization, and content generation.

Design and prototype solutions leveraging Agentic AI and orchestration tools to automate complex, multi-step business processes such as dynamic forecasting and intelligent claims processing.

Drive the innovation agenda, staying current with vector database technology, prompt engineering, and the Responsible AI landscape.

Pre-Sales and Thought Leadership

Support pre-sales activities by serving as a subject matter expert, presenting sophisticated AI solution concepts to prospective clients, and shaping technical proposals.

Required Qualifications

Education

Bachelor’s degree, Master’s degree, or MBA in a quantitative field such as Data Science, Computer Science, Statistics, or Operations Research, or equivalent practical experience.

Experience

Minimum of five years of professional experience in an advanced analytics or data science role.

At least two years focused on consulting, solution architecture, or framework development.

Technical Skills

Generative AI Expertise: Proven experience designing and implementing solutions leveraging LLMs, Vector Databases, and Retrieval-Augmented Generation (RAG) techniques.

Programming/Architecture: Expert proficiency in Python (including advanced ML/DL libraries) and strong knowledge of cloud-native architecture on AWS, Azure, or GCP.

Data Systems: Experience with distributed computing (PySpark, Databricks) and modern data warehousing (Snowflake).

Soft Skills

Exceptional ability to structure unstructured problems.

Highly developed communication skills for executive-level consultation.

Proven success in guiding cross-functional teams.

Preferred Qualifications (Nice-to-Have)

Experience working in a consulting or advisory capacity with external clients.

Direct experience defining solution architecture for Agentic AI workflows.

Certifications in Cloud Architecture or specialized AI/ML domains.

Qualifications (Summary)

Bachelor’s degree, Master’s degree, or MBA in a quantitative field such as Data Science, Computer Science, Statistics, or Operations Research, or equivalent practical experience.