Accenture Hiring 2026: AI/ML Computational Science Associate | Job AIOC-S01665345

Company :- Accenture Solutions Private Limited (Accenture Operations / Tech for Operations)
Job Title :- AI/ML Computational Science Associate
Job Requisition ID :- AIOC-S01665345
Primary Skill / Practice :- Tech for Operations – Artificial Intelligence (AI)
Experience Level :- 0 to 1 Year (Freshers / Entry Level)
Employment Type :- Full-Time / Regular
Posting Recency :- Active (2026)
Location :- Bengaluru, Karnataka, India

Accenture Operations combines domain expertise with cutting-edge artificial intelligence, data engineering, and intelligent automation to drive digital transformation for global enterprises. The Tech for Operations – Artificial Intelligence (AI) practice focuses on developing backend services, AI-driven automation pipelines, computational models, and scalable data processing architectures.

As an AI/ML Computational Science Associate, you will work closely with senior development teams to build, test, debug, and maintain Python-based applications, automated scripts, and backend REST APIs. This role serves as an entry-level technical accelerator, offering exposure to cloud integration, data analytics, machine learning workflows, and modern software development practices.

Python Development & API Integration

• Application & Backend Development: Write, test, and maintain clean, scalable Python scripts and applications adhering to Object-Oriented Programming (OOP) principles.
• REST API Building: Assist in developing, testing, and integrating RESTful APIs and microservices for data exchange across enterprise systems.
• Database & SQL Management: Write and optimize SQL queries to support data extraction, transformation, analytics reporting, and database management.

Data Engineering, AI & Software Operations

• Data Processing & Automation: Build automated scripts to clean, process, and analyze complex datasets to support intelligent decision-making.
• Code Quality & Version Control: Participate in peer code reviews, debug runtime defects, and maintain codebases using Git repositories.
• Agile Collaboration & Documentation: Collaborate with cross-functional technical teams, participate in sprint ceremonies, and document technical architectures, workflows, and API specifications.

Academic Qualifications

• Required Education: B.E. / B.Tech degree in Computer Science, Information Technology, AI/ML, Data Science, Electronics, or related engineering streams.

Technical & Skill Requirements

• Experience: 0 to 1 year of hands-on software development or internship experience (Freshers are eligible).
• Core Programming: Strong foundation in Python programming and Object-Oriented Programming (OOP) concepts.
• Database & SQL: Basic working knowledge of SQL queries, relational database structures, and data manipulation.
• Software Fundamentals: Understanding of Data Structures & Algorithms (DSA), REST API design, Git version control, and standard Software Development Life Cycle (SDLC) stages.

Preferred / Good-to-Have Skills

• Industry-recognized certifications in Python, Cloud (AWS / Azure / GCP), Data Analytics, or AI/ML.
• Prior project experience or exposure to data processing libraries (Pandas, NumPy) or web frameworks (Flask, FastAPI, Django).
• Familiarity with containerization (Docker) or basic cloud deployment pipelines.

Estimated Compensation Expectations

For an entry-level AI/ML Computational Science Associate (0–1 year experience) at Accenture Operations India:

• Estimated Base Package: ₹3,50,000 to ₹5,50,000 INR per annum.
• Total Annual Package (CTC): ₹4,20,000 to ₹6,50,000 INR (includes performance incentives, corporate medical insurance, and skill-based learning allowances).

1. Profile Shortlisting (Verification of Requisition AIOC-S01665345, B.E./B.Tech degree, & Python skill alignment)
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2. Cognitive & Technical Online Assessment (Aptitude, Logical Reasoning, Python Programming, SQL Queries, & DSA Concepts)
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3. Technical Interview Round 1 (Hands-on Python coding, OOP principles, SQL queries, REST API mechanisms, & Git operations)
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4. Technical & Project Discussion Round 2 (Academic/Internship project review, data processing scenarios, & problem-solving approach)
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5. HR & Managerial Discussion (Communication evaluation, willingness to learn emerging AI tools, location readiness for Bengaluru, & offer processing)

• Python & OOP Concepts: Classes, inheritance, polymorphism, encapsulation, list comprehensions, decorators, generators, and exception handling.
• SQL & Data Querying: SELECT queries, INNER/LEFT/RIGHT JOINs, GROUP BY, aggregate functions, subqueries, and indexing basics.
• REST APIs & Web Services: HTTP methods (GET, POST, PUT, DELETE), status codes (200, 201, 400, 404, 500), JSON payload handling, and API testing with Postman.
• Data Structures & Git: Arrays, linked lists, stacks, queues, dictionaries, and basic Git commands (git clone, git commit, git push, git merge, git status).

Technical & AI Keywords

• AI/ML Computational Science Associate
• Python Programming & OOP Concepts
• Data Structures & Algorithms (DSA)
• REST API Development & JSON
• Structured Query Language (SQL) & Relational Databases
• Git Version Control & GitHub/GitLab
• Software Development Life Cycle (SDLC)
• Data Processing, Automation & Analytics
• Tech for Operations – Artificial Intelligence

• Code Debugging & Peer Code Reviews
• Technical Documentation & System Requirements
• Agile Collaboration & Problem-Solving
• Emerging AI/ML Tools & Cloud Practices

1. What is the Job Requisition Number for this position?

The official job reference code is AIOC-S01665345.

2. Is this role open to fresh engineering graduates?

Yes, candidates possessing a B.E. or B.Tech degree with 0 to 1 year of experience (including freshers with strong Python skills) are eligible.

3. Where is this position located?

This role is based at Accenture’s facility in Bengaluru, Karnataka, India.

4. Are certifications mandatory for shortlisting?

No, certifications in Python, Cloud, Data Analytics, or AI are listed as an added advantage, not a mandatory requirement.