Data Science Associate – AI (S&C Global Network, Hi Tech)
Accenture — Bengaluru, Gurugram, Kolkata
₹4–8 LPA (HireSetu estimate) · 0–2 yrs exp · Freshers eligible · Full-time
HireSetu listing reference 20ef83 — confirm requirements below, then apply on the employer site.
Quick answer: An entry-level associate seat (Accenture Level 12) building LLM applications, RAG pipelines and API integrations for clients. Python, SQL, prompt engineering and APIs carry the screen; the machine learning libraries sit further down the list.
From Accenture's job posting
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.
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.
Text from Accenture's official job posting, formatted by HireSetu. The employer's own page is the final word on details.
HireSetu's note
Where the hard bar sits
Accenture splits its skills into must-haves and good-to-haves, and the gap between the two columns is wide. Python, SQL, generative AI fundamentals, prompt engineering and APIs are the screened skills. LangChain, vector databases, embeddings, Docker and the classical ML libraries live in the preferred column. Apply without those and you are still in range. Apply with a statistics-heavy CV and no LLM project and you are not.
This is a Level 12 associate seat, an entry rung where senior practitioners review what you produce. Model training and tuning barely feature in the responsibilities. The work is putting models to use inside applications, then testing whether the outputs hold up.
Revise retrieval and how answers get checked
RAG appears in both the responsibilities and the preferred skills, so learn the pipeline even if you have never shipped one. Documents get chunked, embedded, stored in a vector database, pulled back by similarity and dropped into a prompt. Know where that chain fails: when the right passage never comes back, when a wrong one does, and how you would spot it.
Prompt engineering means writing instructions a model follows reliably. Output format, worked examples, and what it should do when the answer is missing from the sources. Pair that with Python calling a REST API and parsing JSON, since integrations with enterprise systems are named in the listing.
Testing runs through the whole posting: functional testing of outputs, defined test cases, identifying improvements. Bring one project you can describe in three parts. The problem, what you built yourself, and how you confirmed the output was correct. That last part is where most entry-level CVs go quiet.
Drafted with AI from Accenture's job posting and checked by Prashanth Jakkula before publishing. See our Editorial Policy.
How to apply
- Open Accenture's careers site with the Apply button.
- Follow the application steps on the site and upload your resume.
- Keep the confirmation email or application number for follow-up.
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