S&C Global Network - AI - Hi Tech - Data Science Analyst

Accenture PLC; Bengaluru; On-site; INR 1,200,000 - 2,100,000; Full time

Job summary

Accenture seeks a hands-on Decision Science Practitioner Analyst S&C GN to design and deliver Generative AI, Agentic AI and analytics solutions for multiple clients. You will contribute to agents, knowledge retrieval and cloud-based applications, while testing and ensuring responsible use.

The role requires 2+ years in AI/ML or GenAI, with a Bachelor’s or Master’s in a quantitative field, and hands-on Python, SQL and API integration experience.

Qualifications

• 2+ years hands-on AI/ML, GenAI or related engineering experience.
• Bachelor's or Master's in CS, AI, Data Science, Statistics, Applied Mathematics, Engineering or related field.
• Proficiency in Python, SQL and GenAI/RAG concepts.

Responsibilities

• Develop LLM-powered assistants and agent workflows with prompts, tool calls and API integrations.
• Build RAG components using embeddings, metadata and vector search.
• Contribute to agent workflow design using LangGraph or similar frameworks where appropriate.
• Support evaluation of outputs with test cases for relevance, groundedness, task success and basic performance measures.
• Use logs and traces to investigate issues and help improve response quality and reliability.
• Follow project standards for data access and Responsible AI; support guardrails and human review where needed.

Skills

Python

SQL

GenAI/LLMs

Agentic AI fundamentals

RAG and API integration

Education

Bachelor's or Master's in CS/AI/Data Science/Statistics/Applied Mathematics/Engineering

Tools

LangGraph

LangChain

Docker

CI/CD

Job description

Job Title - Decision Science Practitioner Analyst S&C GN

Management Level: Analyst (Level 11)

Location: Bengaluru (preferred) / Kolkata / Gurugram

Must have skills: Python, SQL, GenAI/LLMs, Agentic AI fundamentals, RAG and API integration

Good to have skills: LangGraph or similar frameworks, MCP, multi-agent systems, A2A, cloud AI platforms, evaluation and observability

Experience: 2+ years in AI/ML, data science, GenAI or related engineering

Educational Qualification: Bachelor's or Master's degree in Computer Science, AI, Data Science, Statistics, Applied Mathematics, Engineering or a related field

Job Summary

We are seeking a hands-on Decision Science / AI Analyst to build and deliver Generative AI, Agentic AI and analytics solutions for Consumer Tech, Enterprise Tech and Semiconductor clients. Working with senior team members and client stakeholders, the Analyst will contribute to agents, knowledge retrieval and cloud-based applications, and support their testing and responsible use.

Key Responsibilities

Generative AI, Agentic AI and RAG

• Develop LLM-powered assistants and agent workflows with guidance from senior team members, including prompts, tool calls and API integrations.
• Build RAG components to retrieve relevant information from enterprise documents and data, using embeddings, metadata and vector search.
• Contribute to agent workflow design and orchestration using LangGraph or similar frameworks where appropriate.
• Support evaluation of outputs and workflows using representative test cases for relevance, groundedness, task success and basic performance measures.
• Use logs and traces to investigate issues and help improve response quality and reliability.
• Follow project standards for data access, sensitive information and Responsible AI; support guardrails and human review where needed.

Cloud Platform Expertise

• Contribute to AI solutions on Azure and/or AWS using relevant managed AI and data services under project guidance.
• Support deployment, monitoring and secure handling of credentials and access according to project standards.

AI Engineering and Deployment

• Develop Python components and REST API integrations to connect AI applications with enterprise systems and data sources.
• Use Git, modular code, basic tests, logging, reviews and documentation; collaborate across teams and assist with deployment.

Technical Skills

Programming and APIs: Python, SQL, JSON, REST APIs and sound software engineering practices.

GenAI and agents: LLM application development, prompts, RAG and familiarity with agent workflows and tool calling.

Retrieval: Embeddings, vector search and enterprise knowledge ingestion; familiarity with one vector database or search service.

Cloud and quality: Familiarity with Azure and/or AWS, testing and basic data security and Responsible AI practices.

Preferred Skills

• Exposure to MCP, A2A, multi-agent design, agent memory, GraphRAG or multimodal applications.
• Experience with LangGraph, LangChain or similar frameworks; evaluation and tracing tools; Docker or CI/CD.
• Working knowledge of scikit-learn, PyTorch or TensorFlow and decision science applications in marketing, sales, supply chain or customer experience.
• Clear communication, analytical problem solving and experience working with Hi-Tech clients or cross-functional stakeholders.

Additional Information

The position is based in Bengaluru (preferred), Kolkata or Gurugram. Candidates should be able to demonstrate hands-on contributions to AI solutions and explain the business problem, their contribution and how the solution was tested.

About Our Company | Accenture

Required Qualifications

Experience: 2+ years of hands-on work in AI/ML, data science, Generative AI or related engineering.

Education: Bachelor's or Master's degree in a relevant quantitative or engineering discipline.

Equal Employment Opportunity Statement

All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.

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