Decision Science Associate - AI & Data Science

Accenture India Private Limited; Bengaluru; On-site; INR 600,000 - 800,000; Full time

Job summary

Accenture India Private Limited seeks a Data/AI Associate to contribute to Generative AI, analytics, and AI-powered solutions for clients. The role involves hands-on AI development, knowledge retrieval, testing, and solution delivery while building expertise in AI technologies.

Ideal candidates have 0–2 years in AI/ML or data analytics, with a Bachelor's or Master's in a related field, and hands-on Python/SQL experience. Bengaluru preferred, with opportunities to work across India.

Qualifications

• Bachelor's or Master's degree in computer science, AI, data science, statistics, applied mathematics, engineering or related field.

Responsibilities

• Develop Generative AI, agentic AI and RAG solutions for LLM-powered applications.
• Prepare, organize and validate knowledge sources for retrieval-augmented generation.
• Build and test conversational AI applications and agent workflows under guidance.
• Perform functional testing and validation of AI outputs using defined test cases.
• Document findings and help identify improvement opportunities.

Skills

Python

SQL

Generative AI fundamentals

prompt engineering

APIs

Education

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

Tools

LangChain

LangGraph

Azure

AWS

Git

Docker

Job description

S&C Global Network - AI - Hi Tech - Data Science Associate 3 Job Title - Decision Science Practitioner Associate Management Level: Associate (Level 12) Location: Bengaluru (preferred) / Kolkata / Gurugram

Must have skills: Python, SQL, Generative AI fundamentals, prompt engineering, APIs Good to have skills: RAG fundamentals, agentic AI concepts, LangChain/LangGraph exposure, cloud AI platforms, machine learning fundamentals Experience: 0-2 years in AI/ML, data science, software engineering, analytics, or related fields. 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 motivated Decision Science Associate to support the development of Generative AI, analytics, and AI-powered solutions for our clients. Working closely with experienced practitioners, the Associate will contribute to AI application development, knowledge retrieval, analytics, testing, and solution delivery while building expertise in emerging AI technologies.

Key Responsibilities

• Generative AI, Agentic AI and RAG Support the development of LLM-powered applications using prompts, APIs, and established frameworks.
• Contribute to retrieval-augmented generation (RAG) solutions by preparing, organizing, and validating knowledge sources.
• Assist in building and testing conversational AI applications and agent workflows under guidance from senior team members.
• Perform functional testing and validation of AI application outputs using defined test cases.
• Help analyze responses, identify improvement opportunities, and document findings.

Cloud Platform Expertise

Work with Azure and/or AWS AI services under supervision. Support environment configuration, application testing, and monitoring activities. Learn and apply enterprise security and access management standards.

AI Engineering and Deployment

Develop Python-based components and integrations with APIs and enterprise systems. Use Git and standard development practices for source code management and collaboration. Create technical documentation and support testing, troubleshooting, and deployment activities.

Technical Skills

Programming and APIs: Python, SQL, JSON, REST APIs and sound software engineering practices. GenAI Fundamentals: Prompt engineering, LLM applications, and basic understanding of RAG and AI assistants. Cloud and AI Platforms: Exposure to Azure and/or AWS cloud services. Preferred Skills Exposure to Generative AI frameworks such as LangChain, LangGraph, or similar tools. Basic understanding of agentic AI concepts, tool calling, and workflow orchestration. Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch. Familiarity with vector databases, embeddings, and enterprise knowledge retrieval concepts. Exposure to Git, Docker, CI/CD, or software development lifecycle practices. Strong communication, analytical thinking, and collaborative problem-solving skills.

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