Accenture has announced an exciting opportunity for fresh graduates for the position of AI/ML Computational Science Associate in Bengaluru. This is a full-time opportunity for candidates with 0–1 year of experience and a BE/BTech qualification.
The role is particularly suitable for candidates who have a strong foundation in Python programming, software development, SQL, REST APIs, Data Structures & Algorithms, Git, and AI/ML technologies.
Accenture Recruitment 2026 – Overview
| Particular | Details |
|---|---|
| Company | Accenture |
| Job Role | AI/ML Computational Science Associate |
| Job Type | Full Time |
| Job No. | AIOC-S01665345 |
| Experience | 0–1 Year |
| Qualification | BE/BTech |
| Location | Bengaluru, Karnataka |
| Skill Area | Artificial Intelligence (AI) |
| Job Category | AI/ML / Python / Software Development |
| Eligible Candidates | Fresh Graduates / Entry-Level Candidates |
Accenture AI/ML Computational Science Associate Job Description
Accenture is looking for enthusiastic and highly motivated fresh graduates with a strong foundation in Python programming and software development concepts.
As an AI/ML Computational Science Associate, candidates will work with experienced development teams on designing, developing, testing, and maintaining applications.
The role provides exposure to several modern technology areas, including:
- Python development
- Artificial Intelligence
- Cloud technologies
- Data engineering
- Data processing
- Automation
- Backend development
- REST APIs
- Software development practices
Candidates will also have opportunities to learn and work with emerging technologies and modern development frameworks.
Eligibility Criteria
Candidates applying for this position should meet the following requirements:
Educational Qualification
- BE/BTech from a recognized institution.
- The job posting specifically mentions BE/BTech as the required qualification.
Experience
- 0 to 1 year of experience
- Fresh graduates can apply.
Location
- Bengaluru, Karnataka
Required Skills
Accenture is looking for candidates with knowledge of the following areas:
1. Python Programming
Candidates should have good knowledge of Python programming and be comfortable writing Python applications and scripts.
Important topics to prepare include:
- Python fundamentals
- Functions
- Lists, tuples, sets and dictionaries
- Exception handling
- File handling
- Modules and packages
- Classes and objects
- Basic Python problem solving
2. Object-Oriented Programming
Applicants should understand fundamental OOP concepts such as:
- Classes and objects
- Inheritance
- Encapsulation
- Polymorphism
- Abstraction
3. Data Structures & Algorithms
Basic knowledge of DSA is required.
Candidates should prepare topics such as:
- Arrays
- Strings
- Linked Lists
- Stacks
- Queues
- Hashing
- Searching
- Sorting
- Basic recursion
- Time and space complexity
4. SQL and Database Concepts
Basic SQL and database knowledge is expected.
Important topics include:
- SELECT queries
- WHERE
- GROUP BY
- ORDER BY
- JOINs
- Aggregate functions
- Subqueries
- Primary and foreign keys
- Database normalization
- Basic DBMS concepts
5. REST APIs
Candidates should understand the fundamentals of REST APIs, including:
- GET
- POST
- PUT
- PATCH
- DELETE
- HTTP status codes
- JSON
- API request and response
- Basic backend concepts
6. Git
Basic knowledge of Git version control is required.
Candidates should be familiar with commands such as:
git init
git clone
git add
git commit
git push
git pull
git branch
git checkout
7. SDLC
Candidates should have a basic understanding of the Software Development Life Cycle (SDLC) and common software development practices.
Roles and Responsibilities
The selected candidate may be responsible for the following activities:
- Develop Python-based applications and scripts.
- Test and maintain applications.
- Participate in coding and debugging activities.
- Troubleshoot software-related issues.
- Assist in developing REST APIs and backend services.
- Support automation and process improvement initiatives.
- Work on data processing and analytics solutions.
- Participate in code reviews.
- Follow coding standards and development practices.
- Collaborate with cross-functional teams.
- Understand project requirements and contribute to solutions.
- Prepare technical documentation and project updates.
- Learn and adopt emerging technologies, tools, and frameworks.
Preferred Competencies
Accenture is also looking for candidates with:
- Strong analytical skills
- Problem-solving ability
- Good communication skills
- Teamwork and collaboration skills
- Willingness to learn new technologies
- Ability to work in a fast-paced environment
- Positive attitude
- Customer-centric mindset
Certifications
Certifications are not listed as mandatory requirements. However, Accenture mentions that relevant certifications can be an added advantage.
Candidates may consider certifications related to:
- Python
- Cloud Computing
- Data Analytics
- Artificial Intelligence
- Machine Learning
Who Can Apply?
This opportunity can be relevant for:
- BE graduates
- BTech graduates
- Computer Science graduates
- Information Technology graduates
- Freshers
- Candidates with up to 1 year of experience
- Candidates interested in Python development
- Candidates interested in AI/ML and data technologies
- Entry-level software developers
How to Prepare for Accenture AI/ML Computational Science Associate?
Candidates preparing for this role should focus on the following areas:
Python
Build a strong understanding of Python fundamentals and practice coding problems regularly.
DSA
Practice easy and medium-level problems involving arrays, strings, hashing, searching, sorting, linked lists, stacks and queues.
SQL
Practice writing SQL queries and understand joins, aggregation, subqueries and database fundamentals.
OOP
Be prepared to explain OOP concepts with simple Python examples.
REST API
Understand how frontend applications communicate with backend services through APIs.
Git
Learn the basic Git workflow and understand how version control is used in software development teams.
AI/ML Fundamentals
Since the position is related to AI/ML, candidates can also revise basic concepts such as:
- Machine Learning fundamentals
- Supervised and unsupervised learning
- Classification
- Regression
- Model evaluation
- Data preprocessing
- Basic Python ML libraries
Application Process
Interested and eligible candidates should apply through the official Accenture careers portal.
Before submitting the application, candidates should ensure that:
- Their educational qualification matches the requirements.
- Their resume clearly highlights Python and software development skills.
- Relevant projects are included in the resume.
- Technical skills such as SQL, REST APIs and Git are mentioned where applicable.
- The information provided in the application is accurate.
Accenture AI/ML Computational Science Associate Recruitment 2026 – Important Details
- Company: Accenture
- Position: AI/ML Computational Science Associate
- Job No.: AIOC-S01665345
- Experience: 0–1 year
- Qualification: BE/BTech
- Location: Bengaluru
- Employment Type: Full Time
- Primary Skill: Artificial Intelligence
- Key Technical Skills: Python, OOP, DSA, SQL, REST APIs, Git and SDLC
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Frequently Asked Questions (FAQs)
1. What is the Accenture AI/ML Computational Science Associate job?
It is an entry-level full-time position focused on Python-based application development, automation, data processing, backend services and exposure to AI, cloud and data technologies.
2. What is the required qualification?
Candidates should have a BE or BTech qualification.
3. Can freshers apply?
Yes. The job posting specifies an experience range of 0 to 1 year, making it suitable for fresh graduates.
4. What is the job location?
The position is based in Bengaluru, Karnataka.
5. What programming language is primarily required?
Python is the primary programming language mentioned in the job description.
6. Is DSA required?
Yes. The posting asks for basic knowledge of Data Structures & Algorithms.
7. Is SQL required?
Yes. Basic knowledge of SQL and database concepts is listed among the required skills.
8. Is knowledge of REST APIs required?
Yes. Candidates should have a basic understanding of REST APIs and backend services.
9. Is prior work experience mandatory?
The listed experience requirement is 0–1 year, so fresh graduates are included.
10. Where can candidates apply?
Candidates should use the official Accenture careers/application page associated with the job posting.