Accenture Data Science Associate Recruitment 2026 – Apply Online
Accenture is hiring candidates for the Decision Science Practitioner Associate role within its Strategy & Consulting Global Network, AI – Hi Tech practice. The opportunity is suitable for freshers and early-career candidates with knowledge of Python, SQL, data science, and Generative AI fundamentals.
According to the supplied recruitment article, the primary preferred location is Bengaluru, with Kolkata and Gurugram also listed as possible locations. The article identifies two requisitions: R00361602 and R00361604. Candidates should check each official careers posting to confirm its current availability and requirements.
Accenture Recruitment 2026 – Job Overview
| Company | Accenture |
| Business Unit | Strategy & Consulting, Global Network – AI |
| Job Role | Decision Science Practitioner Associate / Data Science Associate |
| Job IDs | R00361602 and R00361604 |
| Job Level | Associate – Management Level 12 |
| Qualification | Bachelor’s or Master’s degree in a relevant field |
| Experience | 0–2 years; freshers eligible |
| Preferred Location | Bengaluru |
| Other Listed Locations | Kolkata and Gurugram |
| Key Skills | Python, SQL, Generative AI, prompt engineering, APIs |
| Salary | Official salary not disclosed |
| Openings | 2 requisitions mentioned in the supplied article; vacancies per requisition are not confirmed |
| Application Mode | Online |
About the Data Science Associate Role
This role focuses on supporting the development and testing of AI-powered solutions for client projects. As part of the AI practice, associates may contribute to Generative AI applications, analytics, retrieval-augmented generation (RAG) solutions, and conversational AI workflows under the guidance of experienced team members.
The position combines technical skills with collaboration and client solution delivery. Candidates who have built academic projects, prototypes, or demonstrations using Python, SQL, or large language model APIs may find those experiences useful when applying.
Roles and Responsibilities
- Support the development of large language model (LLM) applications using prompts, APIs, and established frameworks.
- Assist in preparing, organizing, and validating knowledge sources for retrieval-augmented generation solutions.
- Help build and test conversational AI applications and agent workflows under senior guidance.
- Perform functional testing and validation of AI applications before delivery.
- Contribute to data analytics activities and AI-based client solutions.
- Learn and apply emerging AI tools and frameworks relevant to project requirements.
These responsibilities are summarized from the supplied recruitment article and should be checked against the official job description.
Accenture Data Science Associate Eligibility Criteria
Applicants should have an educational background relevant to computing, artificial intelligence, mathematics, statistics, or engineering.
- Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Statistics, Applied Mathematics, Engineering, or a related field.
- Experience: 0–2 years in AI/ML, data science, software engineering, analytics, or related work.
- Freshers: Eligible according to the supplied article.
- Programming: Working knowledge of Python.
- Database Skills: Knowledge of SQL.
- Generative AI: Understanding of GenAI fundamentals and prompt engineering.
- APIs: Familiarity with working with APIs.
Required and Preferred Technical Skills
| Required Skills | Python, SQL, Generative AI fundamentals, prompt engineering, APIs |
| Preferred Skills | RAG, agentic AI concepts, LangChain, LangGraph, cloud AI platforms, machine learning fundamentals |
Applicants should focus on understanding how these technologies work and be ready to explain any relevant projects they have completed. A small working demonstration can help illustrate practical knowledge, although the supplied article does not state that a project is mandatory.
Accenture Data Science Associate Salary 2026
Accenture has not disclosed the official salary for the specific requisitions in the supplied article.
The source article reports an estimated salary range of ₹4 LPA to ₹7.5 LPA, based on external salary references for related Accenture associate and data roles. This is an estimate, not an official salary offer or a confirmed pay range for Job IDs R00361602 and R00361604.
Actual compensation may vary according to the job level, location, candidate experience, and the company’s offer terms. Applicants should confirm the salary with Accenture during the recruitment process.
Expected Selection Process
The supplied article describes the following possible recruitment stages. Accenture’s official selection process for these specific vacancies has not been independently confirmed here.
- Online Application: Submit the application through Accenture Careers.
- Resume Screening: Relevant Python, SQL, AI, and GenAI experience or projects may be considered.
- Online Assessment: A coding or technical assessment may cover Python and SQL.
- Technical Interview: Potential discussion areas include machine learning basics, LLMs, prompt engineering, RAG, and personal projects.
- Further Interviews: Managerial, case-based, or HR discussions may follow, depending on the recruitment process.
Documents to Prepare
The supplied article recommends preparing the following items for the application and any subsequent interviews:
- An updated resume highlighting Python, SQL, AI/ML, and GenAI skills.
- Links to relevant GitHub repositories or working project demonstrations, if available.
- Degree certificate or provisional certificate and academic mark sheets.
- Relevant AI, machine learning, or cloud certifications, if available.
- A government-issued photo ID, if requested during the recruitment process.
Check the official application instructions for the documents actually required at each stage.
Preparation Tips for Accenture AI Jobs
- Practise Python: Revise core programming concepts, data handling, and common problem-solving exercises.
- Improve SQL: Practise joins, aggregations, subqueries, and window functions.
- Understand GenAI: Learn prompt design, common LLM limitations, and ways to evaluate generated outputs.
- Explore RAG: Understand document retrieval, embeddings, vector databases, and how retrieved context is used by an LLM.
- Learn agent concepts: Understand tool calling and the basic purpose of frameworks such as LangGraph.
- Prepare project explanations: Be ready to discuss the problem, approach, tools, testing, and limitations of your work.
- Practise communication: Explain technical concepts clearly and connect them to practical business problems.
How to Apply for Accenture Data Science Associate 2026
Interested candidates should apply through Accenture’s official careers website and search for the relevant job IDs.
- Open the official Accenture Careers website.
- Search for Job ID R00361602 and review the Decision Science Practitioner Associate listing.
- Search separately for Job ID R00361604 and review the Data Science Associate 2 listing.
- Confirm the location, eligibility criteria, and current application status for each position.
- Sign in or create an account, complete the application, and submit your updated resume.
- Monitor your email and careers account for any assessment or interview communication.
Official careers website: Visit Accenture Careers
Source article: Read the Accenture Data Science Associate recruitment report
Important: The source article provides job IDs but does not include direct official links to both requisitions. Search by the exact job ID on Accenture Careers to verify the original listing. The number of openings, location availability, salary, and selection stages should be confirmed through official recruitment information.
Frequently Asked Questions (FAQs)
1. Can freshers apply for Accenture Data Science Associate jobs in 2026?
Yes. The supplied article states that candidates with 0–2 years of relevant experience, including freshers, can apply, provided they meet the qualification and technical skill requirements.
2. Which skills are required for Accenture Data Science Associate?
The main skills listed are Python, SQL, Generative AI fundamentals, prompt engineering, and APIs. RAG, agentic AI, LangChain, LangGraph, cloud AI platforms, and machine learning fundamentals are listed as additional or preferred skills.
3. What is the salary for Accenture Data Science Associate 2026?
The official salary is not disclosed in the supplied article. It reports an estimated range of ₹4–7.5 LPA based on external salary references for related roles; this is not a confirmed offer range.
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