Data Science Associate - AI and Cloud Analytics

Accenture India Private Limited; Bengaluru; On-site; INR 600,000 - 1,200,000; Full time

Job summary

Accenture India Private Limited seeks a Decision Science Associate to contribute to Generative AI, analytics, and AI-powered solutions for clients. The role involves AI application development, knowledge retrieval, testing and deployment while building expertise in emerging AI technologies.

You will work with experienced practitioners, contributing to AI solution development, testing, and documentation, with opportunities to learn LangChain/LangGraph and cloud AI platforms.

Qualifications

• Bachelor's or Master's degree in computer science, AI, Data Science, Statistics, Applied Mathematics, Engineering or related field.
• Programming and API skills: Python, SQL, JSON, REST APIs and good software engineering practices.
• GenAI fundamentals: Prompt engineering, LLM applications, basic understanding of RAG.

Responsibilities

• Support development of Generative AI solutions and LLM-powered apps using prompts and APIs.
• Contribute to retrieval-augmented generation (RAG) by organizing knowledge sources.
• Assist in building and testing conversational AI apps and agent workflows under guidance.

Skills

Python

SQL

Generative AI fundamentals

prompt engineering

APIs

Education

Bachelor's degree in Computer Science or related

Master's degree in AI/Data Science or related

Tools

Git

Docker

REST APIs

JSON

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

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.

Required Qualifications

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