Looking for an opportunity to build your career in Artificial Intelligence,
Generative AI and Data Science? Accenture Decision Science Associate
2026 is a role to explore if you have relevant technical skills and
between 0 and 2 years of experience.

Accenture is hiring for the position titled
Decision Science Practitioner Associate within its S&C Global
Network – AI – Hi Tech – Data Science team. The role focuses on developing
AI-powered applications, supporting analytics, testing AI outputs and
contributing to knowledge retrieval and solution delivery.

The position lists Bengaluru as the preferred location,
with Kolkata and Gurugram also mentioned. Candidates should have hands-on
knowledge of Python, SQL, Generative AI fundamentals, prompt engineering
and APIs.

Official listing:

Accenture Decision Science Associate – Job R00361602
.

Accenture Decision Science Associate – Job Details

About the Accenture Decision Science Associate Role

The role supports the development of Generative AI, analytics and AI-powered
solutions for clients. Working with experienced practitioners, the Associate
contributes to AI application development, knowledge retrieval, analytics,
testing and solution delivery.

Candidates may support Large Language Model (LLM) applications, conversational
AI solutions, retrieval-augmented generation systems and agent workflows.
The position also involves testing application outputs, identifying
improvement opportunities and documenting findings.

This is an early-career role in which candidates are expected to contribute
to technical work while developing their expertise in emerging AI technologies.
Applicants should be prepared to explain their hands-on projects, their
individual contributions and how they tested their solutions.

Required Skills for Accenture Decision Science Associate 2026

Generative AI, RAG and Agentic AI

Generative AI is a central area of this role. The selected candidate will
support the development of LLM-powered applications using prompts, APIs
and established frameworks.

Generative AI and LLM Applications

Candidates should understand how Large Language Models are used in
AI-powered applications and how prompts and API integrations can help
deliver useful outputs.

Retrieval-Augmented Generation (RAG)

The role includes helping prepare, organize and validate knowledge sources
for RAG solutions. Familiarity with embeddings, vector databases and
enterprise knowledge retrieval concepts can be helpful.

Agentic AI

Candidates may assist with building and testing conversational AI
applications and agent workflows under the guidance of senior team members.
Basic understanding of tool calling and workflow orchestration is preferred.

Preferred Technical Skills

• RAG fundamentals
• Agentic AI concepts
• LangChain or LangGraph exposure
• Cloud AI platforms
• Machine learning fundamentals
• Vector databases and embeddings
• scikit-learn, TensorFlow or PyTorch
• Git and source code management
• Docker and CI/CD exposure
• Software development lifecycle practices

These are listed as preferred skills or additional exposure areas. Candidates
should distinguish between skills they have used in real projects and
technologies they have only studied.

Cloud Platforms and AI Engineering

The role involves working with Azure and/or AWS AI services under supervision.
Responsibilities may include environment configuration, application testing,
monitoring, security and access management, troubleshooting and deployment
support.

Candidates should be comfortable discussing any relevant cloud projects,
the services they used, how the application was tested and how credentials
or access were handled according to project requirements.

Roles and Responsibilities

• Support development of LLM-powered applications using prompts, APIs and frameworks.
• Prepare, organize and validate knowledge sources for RAG solutions.
• Assist with testing conversational AI applications and agent workflows.
• Perform functional testing of AI outputs using defined test cases.
• Analyze responses and document improvement opportunities.
• Work with Azure and/or AWS AI services under supervision.
• Support environment configuration, application testing and monitoring.
• Develop Python-based components and API integrations.
• Use Git and standard development practices for collaboration.
• Create technical documentation and support troubleshooting and deployment.
• Apply enterprise security and access management standards.

Eligibility and Educational Qualification

Accenture lists the following requirements for the Decision Science
Practitioner Associate position:

• Experience: 0–2 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.
• Programming: Python and SQL.
• AI knowledge: GenAI fundamentals, prompt engineering, LLM applications and basic RAG concepts.
• APIs: JSON and REST APIs.
• Cloud: Exposure to Azure and/or AWS cloud services.

The listing does not specify a particular graduation year, salary or
application deadline in the details provided here. Please check the live
careers page for current requirements and availability.

Accenture Job Locations

How to Prepare for This AI Job

The job description highlights the importance of hands-on contributions to
AI solutions. Candidates should prepare to explain the business problem,
their individual contribution and how the solution was tested.

1. Prepare a Python project that demonstrates a real problem and solution.
2. Practice SQL queries and data manipulation.
3. Build a small LLM application using prompt engineering and an API.
4. Understand the basic architecture of a RAG application.
5. Learn how embeddings and vector search support knowledge retrieval.
6. Practice testing AI outputs and documenting errors or limitations.
7. Review basic Git, REST APIs, JSON and cloud concepts.
8. Prepare to explain your contribution clearly during an interview.

How to Apply for Accenture Decision Science Associate 2026

Interested candidates can review the official job description and submit
an application through Accenture’s careers portal. Check the current
eligibility requirements before applying.

Job No. R00361602

Application Checklist

• Updated resume with relevant projects.
• Python and SQL skills clearly mentioned.
• Generative AI and prompt engineering knowledge.
• Relevant API integration experience.
• RAG or AI assistant project details, if applicable.
• Cloud platform exposure, if applicable.
• Ability to explain testing and project contributions.
• Verification of current eligibility on the official careers page.

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Frequently Asked Questions

What is the job title at Accenture?

The job title is Decision Science Practitioner Associate under the
S&C Global Network – AI – Hi Tech – Data Science team.

How much experience is required?

The listing specifies 0–2 years of hands-on experience in AI/ML, Data
Science, Generative AI or related engineering.

Which programming skills are required?

Python, SQL, JSON, REST APIs and sound software engineering practices
are listed in the technical requirements.

Which AI skills are required?

The listing mentions Generative AI fundamentals, prompt engineering,
LLM applications and basic understanding of RAG and AI assistants.

Are LangChain and LangGraph required?

Exposure to LangChain, LangGraph or similar frameworks is listed as
a preferred skill rather than a must-have skill.

Where are the job locations?

Bengaluru is preferred. Kolkata and Gurugram are also listed as locations.

Is a salary mentioned?

No salary figure is included in the supplied job details. Check the
official listing for any updated compensation information.