Accenture Decision Science Associate Hiring 2026 – AI & Generative AI

Accenture Decision Science Practitioner Associate Hiring 2026 – AI & Generative AI

Introduction

Accenture has announced an opportunity for the Decision Science Practitioner Associate role within its Strategy & Consulting Global Network, focusing on Artificial Intelligence, Hi-Tech, and Data Science. The position is designed for candidates with an interest in Generative AI, analytics, AI-powered applications, and decision science.

The job reference is R00361602, and the listed experience requirement is 0–2 years. The preferred location is Bengaluru, with Kolkata and Gurugram also listed as possible locations. Candidates with knowledge of Python, SQL, prompt engineering, REST APIs, and Generative AI fundamentals can review the eligibility criteria and apply through Accenture’s official careers portal.

Quick Job Snapshot

Note: The job description does not specify an eligible graduation batch or salary amount. The batches shown above are a general reference under this article’s standard format, not an official Accenture eligibility requirement.

About the Role

As a Decision Science Practitioner Associate, you will support the development and delivery of AI-powered solutions for clients while working alongside experienced practitioners. The role combines Generative AI application development, knowledge retrieval, analytics, testing, and deployment support.

You may contribute to applications that use large language models (LLMs), help prepare knowledge sources for retrieval-augmented generation (RAG), and assist with conversational AI and agent workflows. The position also offers exposure to cloud AI services on Azure and/or AWS, subject to project requirements and guidance from senior team members.

Key Responsibilities

• Generative AI development: Support LLM-powered applications using prompts, APIs, and established frameworks.
• RAG and knowledge retrieval: Prepare, organize, and validate knowledge sources used by retrieval-augmented generation solutions.
• Conversational AI: Assist in building and testing conversational applications and agent workflows.
• Testing and validation: Evaluate AI outputs against defined test cases, analyze responses, and document improvement opportunities.
• Cloud services: Work with Azure and/or AWS AI services under supervision and support environment configuration, monitoring, and testing.
• Python and API integration: Develop Python-based components and integrate APIs with enterprise systems.
• Development collaboration: Use Git and standard software development practices to manage source code and collaborate with team members.
• Documentation and deployment: Assist with technical documentation, troubleshooting, testing, and deployment activities.

Qualification Requirements

• A Bachelor’s or Master’s degree in a relevant quantitative or engineering discipline.
• Between 0 and 2 years of hands-on experience in AI/ML, data science, Generative AI, or related engineering.
• Knowledge of Python, SQL, JSON, REST APIs, and software engineering practices.
• Understanding of prompt engineering, LLM applications, and the fundamentals of RAG and AI assistants.
• Exposure to Azure and/or AWS cloud services.
• Strong communication, analytical thinking, and collaborative problem-solving skills.

Review the official job listing to confirm that your educational background and experience meet the employer’s requirements.

Skills to Highlight in Your Resume

Applicants should highlight relevant skills they genuinely possess, especially:

• Programming: Python, SQL, JSON, and REST APIs.
• Generative AI: Prompt engineering, LLM applications, and AI assistants.
• AI frameworks: LangChain, LangGraph, or similar tools.
• RAG technologies: Embeddings, vector databases, and enterprise knowledge retrieval.
• Cloud platforms: Azure AI services and/or AWS AI services.
• Machine learning: Fundamentals of scikit-learn, TensorFlow, or PyTorch.
• Development tools: Git, Docker, CI/CD, and software development lifecycle practices.
• AI agents: Tool calling, agentic AI concepts, and workflow orchestration.

These preferred skills can help demonstrate your preparation for the role. For additional preparation, explore our guides to high-demand skills in 2026 and Generative AI interview questions and answers.

Why Consider This Opportunity?

• Work on AI, analytics, and Generative AI-related solutions for clients.
• Build practical experience with LLM applications, RAG, and conversational AI workflows.
• Gain exposure to cloud AI platforms and enterprise application integrations.
• Learn development, testing, documentation, and deployment practices with guidance from experienced team members.
• Develop technical and collaboration skills relevant to AI engineering and decision science roles.

Candidates planning their learning path can also compare Coursera and Udemy for technical learning and explore leading IT companies in India.

How to Apply

1. Open Accenture’s official careers page using the application link below.
2. Search for the job number R00361602 if needed.
3. Read the complete job description and confirm the location, education, and experience requirements.
4. Prepare an updated resume highlighting relevant Python, SQL, APIs, and AI skills.
5. Complete the online application form and provide accurate information.
6. Submit your application through the official portal and monitor your registered email and phone for updates.

Apply on Accenture Careers

Frequently Asked Questions (FAQs)

1. What is the job role at Accenture?
The position is Decision Science Practitioner Associate, focused on AI, Generative AI, analytics, and related solution development.

2. Who is eligible to apply?
The listed requirement is 0–2 years of relevant hands-on experience and a Bachelor’s or Master’s degree in a relevant quantitative or engineering discipline. Check the official listing for complete eligibility details.

3. Which technical skills are required?
The must-have skills are Python, SQL, Generative AI fundamentals, prompt engineering, and APIs. JSON, REST APIs, and software engineering practices are also listed in the technical requirements.

4. Where is this position located?
Bengaluru is the preferred location. Kolkata and Gurugram are also listed. The work mode is not specified in the supplied job description.

5. What salary does Accenture offer for this role?
The supplied job description does not state a salary amount. Candidates should refer to the official recruitment process for compensation details.

Conclusion

Accenture’s Decision Science Practitioner Associate opportunity may suit candidates with relevant engineering or quantitative education and foundational programming and AI skills. If your experience aligns with the 0–2-year requirement, review job reference R00361602 and submit your application through Accenture’s official careers portal.