INTERNSHIP DETAILS

Intern

CompanyAtkinsRéalis
LocationBengaluru
Work ModeOn Site
PostedApril 17, 2026
Internship Information
Core Responsibilities
The intern will assist in data collection, cleaning, and exploratory analysis while building and evaluating baseline machine learning models. They will also work with LLMs, implement prompt engineering, and contribute to RAG pipelines under the guidance of senior staff.
Internship Type
full time
Company Size
46742
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
We are a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world’s infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. ---
About the Role

Job Description

Overview

We are looking for a motivated Intern with a strong interest in Generative AI and Autonomous Agents. This role is ideal for someone at the beginning of their data science career who wants hands-on exposure to real-world AI systems, LLM-powered applications, and data-driven decision-making. You will work closely with senior data scientists and engineers to build, test, and deploy AI-driven solutions using modern tooling.

Your Role

  • Data Science Foundations
    • Assist in data collection, cleaning, and preprocessing
    • Perform exploratory data analysis (EDA) and basic statistical analysis
    • Build and evaluate baseline ML models (classification, regression, clustering)
    • Document experiments, features, and results clearly
  • Generative AI & LLMs
    • Work with Large Language Models (LLMs) via APIs (OpenAI, Azure OpenAI, Hugging Face)
    • Implement prompt engineering and prompt templates
    • Assist in building RAG (Retrieval-Augmented Generation) pipelines
    • Fine-tune or adapt models (where applicable) using structured datasets
  • Engineering & Collaboration
  • Write clean, readable Python code
  • Work with notebooks and production-ready scripts
  • Use Git for version control
  • Collaborate with cross-functional teams (engineering, product, analytics)

About you

Qualifications

  • B. Tech in CS with minimum CGPA of 8
  • Year of passing :2025 / 2024
  • Core Skills
    • Python (functions, classes, basic OOP)
    • SQL basics (SELECT, JOIN, WHERE, GROUP BY)
    • Fundamental understanding of:
    • Statistics (mean, variance, correlation)
    • Machine learning concepts
  • Data & ML Libraries
    • pandas, NumPy
    • scikit-learn
    • matplotlib / seaborn (basic visualization)
  • GenAI Basics
    • Understanding of LLMs and how they work (tokens, context, embeddings)
    • Experience using LLM APIs (even via tutorials or projects)
    • Basic prompt engineering
  • Ideal Candidate Profile
    • Curious and self-driven learner
    • Comfortable experimenting and failing fast
    • Strong fundamentals over fancy tools
    • Has personal projects, GitHub repos, or notebooks
    • Passionate about AI, GenAI, and future-facing tech

Rewards & benefit

Explore the rewards and benefits that help you thrive – at every stage of your life and your career.

This includes:

  • Self – Medical Insurance.
  • Generous annual leave balance.

Seize every opportunity to sharpen your skills, expand your expertise, and be recognized for the impact you make.

About AtkinsRéalis

We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project managers, we can change the world. We're committed to leading our clients across our various end markets to engineer a better future for our planet and its people.

Find out more.

Worker Type

Employee

Job Type

Student (Fixed Term)

At AtkinsRéalis, we seek to hire individuals with diverse characteristics, backgrounds and perspectives. We strongly believe that world-class talent makes no distinctions based on gender, ethnic or national origin, sexual identity and orientation, age, religion or disability, but enriches itself through these differences.  

Key Skills
PythonSQLMachine learningData analysisGenerative AILLMsPrompt engineeringRAG pipelinesPandasNumPyScikit-learnMatplotlibSeabornGitStatisticsData preprocessing
Categories
TechnologyData & AnalyticsSoftwareEngineeringEnergy
Benefits
Medical insuranceAnnual leave