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Job Overview
| Company | ACCENTURE |
|---|---|
| Job Title | DATA SCIENCE ASSOCIATE |
| Last Date | 13-11-2026 |
Job Details
Accenture is hiring Data Science Associate
Position: Data Science Associate
Job title (internal): Decision Science Practitioner Associate
Management level: Associate (Level 12)
Experience: 0 to 2 years
- Qualifications: Bachelor’s or Master’s degree
- Location: Bengaluru (preferred), Kolkata, Gurugram
Key Responsibilities:
- 1. Generative AI, Agentic AI and RAG
- Support development of LLM-powered applications using prompts, APIs and established frameworks
- Contribute to 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
- 2. 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
- 3. 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:
Experience: 0 to 2 years of hands-on work in AI/ML, data science, Generative AI or related engineering
- Education: Bachelor’s or Master’s degree in a relevant quantitative or engineering discipline
- Technical Skills:
- Must have:
- Programming and APIs: Python, SQL, JSON, REST APIs, sound software engineering practices
- GenAI fundamentals: Prompt engineering, LLM applications, basic understanding of RAG and AI assistants
- Cloud and AI platforms: Exposure to Azure and/or AWS cloud services
- Good To Have:
- RAG fundamentals
- Agentic AI concepts
- LangChain/LangGraph exposure
- Cloud AI platforms
- Machine learning fundamentals
- 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 ML 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
- How to Apply:To Apply: Click Here
