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🏢 Accenture
AI/ML Computational Science Associate
💼 Fulltime
📍 Bengaluru
🔗 Explore More
🛠 Skills Required
Python
Object Oriented Programming
Data Structures
Algorithms
SQL
REST APIs
Git
SDLC
Django
Flask
FastAPI
Pandas
NumPy
HTML
CSS
JavaScript
Cloud (Azure/AWS/GCP)
Problem Solving
Communication
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🎤 Interview Experience
Accenture’s interview process typically begins with an online aptitude test that assesses logical, quantitative, and verbal abilities. Successful candidates move to a technical interview focused on Python fundamentals, data structures, and project experience, often including live coding. The final HR round evaluates communication skills, cultural fit, and career goals. Preparation should emphasize problem‑solving speed, clear articulation of projects, and a good understanding of basic AI/ML concepts.
🏢 Work Culture
Accenture promotes a collaborative and inclusive work culture where learning and innovation are encouraged. Employees benefit from structured career development programs, mentorship, and a healthy work‑life balance supported by flexible work arrangements.
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📚 Free Study Materials (4)
Placement Papers for Accenture Roles
Curated set of Accenture placement questions that help candidates practice aptitude and technical concepts relevant to the AI/ML associate role.
Open Resource ↗
Recruitment Process Overview
Detailed walkthrough of Accenture's recruitment stages, useful for planning preparation strategy for each interview round.
Open Resource ↗
Interview Preparation Guide
Comprehensive guide covering common interview questions, tips, and resources to boost confidence for Accenture interviews.
Open Resource ↗
Coding Problem Set for Practice
Extensive collection of coding problems to sharpen algorithmic skills essential for the technical interview.
Open Resource ↗
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✅ Eligibility Criteria
Degree: BE/BTech/MCA (any engineering or computer science branch). Minimum aggregate: 60% (or equivalent CGPA). Eligible batch: 2024, 2025, 2026. No active backlogs at the time of joining. Must have proficiency in English (intermediate). Internships or academic projects in Python are preferred.
🏆 Selection Process
Round 1: Online Aptitude Test (Logical Reasoning, Numerical Ability, Verbal) → Round 2: Technical Interview (Python, Data Structures, Projects, Problem Solving) → Round 3: HR Interview (behavioral fit, communication, career aspirations)
🎯
Don't miss this opportunity!
Apply before 31 Dec 2026 — only 150 days left
✅ Apply on Official Website →📋 About the Role
Accenture is a global professional services powerhouse that blends deep industry expertise with cutting‑edge technology. With a presence in more than 120 countries and a workforce of over 784,000 professionals, the firm helps clients transform their businesses through digital, cloud, and security solutions. Accenture’s Operations arm, known for its SynOps platform, drives efficiency and innovation across industries by leveraging advanced analytics, automation, and AI. The company’s culture emphasizes continuous learning, diversity, and a commitment to delivering value for clients, employees, and communities alike.
The AI/ML Computational Science Associate role is designed for fresh graduates who have a solid grounding in Python and a curiosity for emerging technologies. As part of Accenture Operations, the associate will collaborate with seasoned development teams to build, test, and maintain Python‑based applications that power data pipelines, automation scripts, and AI‑enabled services. This position offers exposure to cloud platforms, data engineering, and modern software development practices, making it an ideal launchpad for a career in application development, data analytics, and AI.
**Key Responsibilities**
1. Design, develop, and maintain Python applications and automation scripts.
2. Write clean, testable code following SDLC and coding standards.
3. Build and support RESTful APIs and backend services.
4. Participate in code reviews, debugging, and performance tuning.
5. Develop data processing workflows using Pandas, NumPy, and related libraries.
6. Contribute to automation and process‑improvement initiatives across projects.
7. Collaborate with cross‑functional teams to gather requirements and deliver solutions.
8. Prepare technical documentation, status reports, and project updates.
9. Stay updated with emerging tools, frameworks, and AI/ML concepts.
10. Assist in deploying applications on cloud platforms such as Azure, AWS, or GCP.
**Tech Stack**: Python, OOP, Data Structures & Algorithms, SQL, REST APIs, Git, Django/Flask/FastAPI, Pandas, NumPy, HTML/CSS/JavaScript, Azure/AWS/GCP, CI/CD basics.
**Growth Path**: Starting as an Associate, high performers can progress to Senior Associate, then to Consultant, Manager, and eventually to Leadership roles within Accenture’s AI/ML practice. The firm provides structured learning programs, certifications, and mentorship to accelerate career growth.
**Why Join Accenture?** The company offers a vibrant, inclusive environment where learning is continuous and impact is measurable. Freshers gain hands‑on experience with industry‑leading technologies, access to global talent networks, and the chance to work on real‑world problems for Fortune‑500 clients. Competitive compensation, robust benefits, and a clear promotion trajectory make Accenture an attractive destination for ambitious technologists.
🎯
Don't miss this opportunity!
Apply before 31 Dec 2026 — only 150 days left
✅ Apply on Official Website →📤 Share this Job
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📋 Quick Info
JOB ID
C1138-J084
POSTED
2h ago
TYPE
Fulltime
BATCH
All Batches
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