Accenture Off Campus Drive 2026 for Data Science Associate

 

Accenture Off Campus Drive 2026:-

Company Name:-	Accenture
Required 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.
Required    Education:	B.E/B.Tech/B.Sc/BCA/M.E/M.Tech/M.Sc/MCA
Job Category:	Off-Campus Drive
Experience:	0 – 2 Years

Accenture is hiring candidates for the role of  Data  Science Associate for the  Bengaluru/Kolkata/Gurugram locations. The complete details about Accenture Off Campus Drive 2026 are as follows. 

• Job Position: Data Science Associate
• Job Location:  Bengaluru/Kolkata/Gurugram
• Salary Package: As per Company Standards
• Full/Part Time: Full Time
• Education Level: Graduation

Qualifications

• Educational Qualification: Bachelor’s or Master’s degree in computer science, AI, Data Science, Statistics, Applied Mathematics, Engineering or a related field
• Experience: 0-2 years in AI/ML, data science, software engineering, analytics, or related fields.
• 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

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.

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.

Skills Required:

Accenture Off Campus Drive 2026 Application Process:-

Apply In Below Link

Apply Link:- Click Here To Apply (Apply before the link expires)

Note:– Only shortlisted candidates will receive the call letter for further rounds