Are you looking to start your career in data science, artificial intelligence, and Generative AI? Accenture Recruitment Data Science 2026 brings an opportunity for candidates interested in working with AI-powered applications, analytics, cloud technologies, and modern software development. Accenture is hiring for the Decision Science Practitioner Associate position under its S&C Global Network โ AI โ Hi Tech team.
This opportunity is suitable for candidates with 0โ2 years of experience in AI/ML, data science, software engineering, analytics, or related fields. Applicants with knowledge of Python, SQL, Generative AI fundamentals, prompt engineering, and APIs can explore this role.
The position is listed under job number R00361602, with Bengaluru as the preferred location. The job description also mentions Kolkata and Gurugram as possible locations. Candidates interested in developing practical AI engineering skills should review the eligibility criteria, responsibilities, technical requirements, and application process before applying.
In this article, we cover the important details of Accenture Recruitment Data Science, including job responsibilities, qualifications, required skills, preparation tips, and frequently asked questions.
Accenture Recruitment Data Science 2026 โ Job Overview
Here is a quick overview of the Accenture Decision Science Associate opportunity.
| Job Details | Information |
|---|---|
| Company Name | Accenture |
| Recruitment Name | Accenture Recruitment Data Science 2026 |
| Job Role | Decision Science Practitioner Associate |
| Team | S&C Global Network โ AI โ Hi Tech |
| Job Category | Data Science / Artificial Intelligence |
| Job Number | R00361602 |
| Management Level | Associate (Level 12) |
| Job Type | Full-time |
| Experience Required | 0โ2 years |
| Preferred Location | Bengaluru, Karnataka |
| Other Mentioned Locations | Kolkata and Gurugram |
| Educational Qualification | Bachelor’s or Master’s degree in a relevant discipline |
| Required Skills | Python, SQL, Generative AI fundamentals, prompt engineering, APIs |
| Preferred Skills | RAG, agentic AI, LangChain, LangGraph, cloud AI, machine learning |
| Salary | Not specified in the supplied job description |
| Application Deadline | Not specified in the supplied job description |
Note: The supplied listing identifies Bengaluru as the preferred location while also mentioning Kolkata and Gurugram. Confirm the available location options and current vacancy status on Accenture’s official careers website before applying.
About Accenture
Accenture is a global professional services company that works across technology, consulting, operations, and digital transformation. The company helps clients adopt technology, improve business processes, and develop solutions for changing business needs.
Its work includes areas such as artificial intelligence, cloud computing, data analytics, cybersecurity, and enterprise technology. Accenture also highlights employee development, continuous learning, inclusion, and collaboration as important parts of its workplace culture.
For candidates beginning a career in AI and data science, Accenture Recruitment Data Science 2026 may offer an opportunity to gain experience working with experienced professionals and contributing to technology solutions for clients.
Accenture Recruitment Data Science 2026 โ Eligibility Criteria
Before applying for Accenture Recruitment Data Science 2026, candidates should check whether their education, experience, and technical background align with the job requirements.
Educational Qualification
According to the supplied job description, candidates should have a Bachelor’s or Master’s degree in a relevant quantitative or engineering discipline.
Relevant fields include:
- Computer Science
- Artificial Intelligence
- Data Science
- Statistics
- Applied Mathematics
- Engineering
- Other related disciplines
Candidates with qualifications in a related field should check the official listing to confirm whether their degree meets the employer’s requirements.
Experience Requirements
The position specifies 0โ2 years of experience in areas such as:
- Artificial Intelligence and Machine Learning
- Data Science
- Software Engineering
- Analytics
- Related technical fields
This experience range may be relevant to recent graduates and early-career professionals. However, candidates should be prepared to demonstrate practical contributions to AI solutions, including the problem addressed, their individual role, and how they tested the solution.
Technical Requirements
The must-have skills listed in the job description are:
- Python
- SQL
- Generative AI fundamentals
- Prompt engineering
- APIs
Applicants should focus on understanding these technologies well enough to explain their use in a practical project.
Analytical and Communication Skills
Candidates should be comfortable analysing problems, working with colleagues, and communicating technical findings. Clear explanations of project decisions, testing methods, and limitations can be valuable during technical discussions.
Highlight Relevant Technical Skills
Include Python, SQL, APIs, Generative AI, prompt engineering, and other technologies you genuinely understand. Mention preferred technologies only if you have relevant exposure.
Include Practical AI Projects
Consider adding projects involving:
- A document-based RAG question-answering application
- An LLM-powered text summarisation tool
- A Python data analysis project
- An API integration application
- A simple AI assistant with a defined workflow
Explain the project’s purpose, your contribution, the technologies used, and how you evaluated its results.
Demonstrate Testing and Problem-Solving
Include examples of how you found a problem, investigated it, tested possible solutions, and improved your application.
Keep Your Resume Clear
Use concise bullet points, consistent formatting, and accurate information. Avoid listing tools you have never used or describing a tutorial exercise as a production-level system.
Who Should Apply for This Accenture Opportunity?
The Accenture Recruitment Data Science opportunity may be suitable for candidates who:
- Have a Bachelor’s or Master’s degree in a relevant field.
- Have 0โ2 years of experience in AI/ML, data science, software engineering, analytics, or related work.
- Have a working foundation in Python and SQL.
- Understand Generative AI fundamentals and prompt engineering.
- Have basic knowledge of APIs and application integration.
- Want to learn more about RAG, agentic AI, and cloud AI services.
- Can explain their projects and technical contributions.
- Enjoy analytical problem-solving and collaborative work.
Candidates should review the official job listing before applying to confirm that their qualifications and experience meet the requirements.
Important Recruitment Safety Notice
Accenture states that candidates are never required to pay for employment. Be cautious of anyone requesting money for registration, interviews, job offers, or other hiring-related expenses.
If someone contacts you asking for payment while claiming to represent Accenture, do not pay. Follow the reporting instructions in Accenture’s official recruitment notice.
Final Words
The Accenture Recruitment Data Science 2026 opportunity is worth exploring for early-career professionals who want to work with Generative AI, data science, analytics, and AI-powered applications. The role emphasises Python, SQL, prompt engineering, APIs, and practical contributions to AI solutions, while offering exposure to additional areas such as RAG, agentic AI, and cloud platforms.
Before applying, review the official job listing and make sure your resume clearly explains your technical skills and project experience. Focus on building a solid foundation, testing your applications carefully, and understanding the business problems your projects are designed to solve.
For the latest information about eligibility, location, and application status, use Accenture’s official careers website.
