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🏢 Accenture
AI/ML Computational Science Associate
💼 Fulltime
📍 Bengaluru, Karnataka
🔗 Explore More
🛠 Skills Required
Python
Object‑Oriented Programming
Data Structures
Algorithms
SQL
REST APIs
Git
SDLC
Django
Flask
FastAPI
Pandas
NumPy
HTML
CSS
JavaScript
Azure
AWS
GCP
AI/ML concepts
Automation scripting
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🎤 Interview Experience
Accenture’s interview process typically begins with an online assessment that tests quantitative aptitude, logical reasoning, and a timed Python coding challenge. Successful candidates move to a technical interview focused on data structures, OOP concepts, and project experience, followed by an HR round that evaluates communication skills and cultural fit. Preparation should include mock tests, revisiting core Python topics, and practicing problem‑solving on platforms like LeetCode.
🏢 Work Culture
Accenture promotes a collaborative and inclusive culture where continuous learning is encouraged through internal academies and certifications. Employees benefit from clear growth pathways, global exposure, and a balanced work‑life environment supported by flexible policies.
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📚 Free Study Materials (4)
Accenture Placement Papers – Practice Questions
Curated set of Accenture placement papers to practice aptitude and technical questions relevant for the associate role.
Open Resource ↗
Accenture Recruitment Process – Interview Experiences
First‑hand accounts of candidates detailing each interview round, helping you prepare for the assessment and technical interview.
Open Resource ↗
Accenture Interview Preparation Guide
Comprehensive guide covering common topics, sample questions, and tips to ace Accenture's interview stages.
Open Resource ↗
Comprehensive Coding Problem Set for Practice
Extensive collection of coding problems to sharpen algorithmic skills essential for the technical assessment.
Open Resource ↗
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✅ Eligibility Criteria
Degree: BE/B.Tech, MCA, or M.Sc. in Computer Science or related field. Minimum aggregate: 60% (or CGPA 6.0/10). Batch: 2025‑2027 (or recent graduates). No active backlogs at the time of joining. Candidates should have strong fundamentals in Python and basic exposure to OOP, data structures, and databases.
🏆 Selection Process
Round 1: Online Assessment (aptitude, logical reasoning, and coding test) → Round 2: Technical Interview (Python, OOP, data structures, project discussion) → Round 3: HR Interview (fitment, communication, and career aspirations)
🔔 Apply before 26 Aug 2026 — 39 days remaining
📋 About the Role
Accenture is a global professional services powerhouse that blends deep industry expertise with cutting‑edge digital, cloud, and security capabilities. With more than 784,000 employees across 120+ countries, the firm helps clients transform their businesses through strategy, consulting, technology, and operations. Its culture of continuous learning, inclusive leadership, and a strong focus on innovation makes it a preferred destination for young talent seeking exposure to world‑class projects and a fast‑paced career trajectory. Accenture Operations, a key business unit, drives transformational change by leveraging advanced analytics, automation, and AI‑enabled platforms such as SynOps, enabling clients to move from transactional to strategic operations.
The AI/ML Computational Science Associate role is designed for fresh graduates who have a solid grounding in Python programming and a curiosity for emerging technologies. As an associate, you will work alongside seasoned developers and data engineers to design, develop, test, and maintain Python‑based applications that power AI/ML solutions, data pipelines, and automation workflows. The position offers hands‑on experience with cloud platforms, RESTful services, and modern development practices, laying a strong foundation for a long‑term career in software engineering and data science within Accenture’s expansive ecosystem.
**Key Responsibilities**
1. Develop, test, and maintain Python applications and scripts for AI/ML and automation projects.
2. Participate in the full software development lifecycle, including code reviews, debugging, and documentation.
3. Build and integrate REST APIs and backend services using frameworks like Flask, Django, or FastAPI.
4. Collaborate with cross‑functional teams to gather requirements and translate them into technical solutions.
5. Implement data processing, analysis, and visualization pipelines using Pandas, NumPy, and related libraries.
6. Contribute to automation initiatives, creating scripts and tools that improve operational efficiency.
7. Support cloud‑based deployments on Azure, AWS, or GCP, and assist in CI/CD pipelines.
8. Stay updated with AI/ML concepts, emerging frameworks, and best coding practices.
9. Prepare technical documentation and project status updates for stakeholders.
10. Participate in knowledge‑sharing sessions and continuous learning programs.
**Tech Stack**: Python, OOP, Data Structures & Algorithms, SQL, REST APIs, Git, SDLC, Django/Flask/FastAPI, Pandas, NumPy, HTML/CSS/JavaScript, Azure/AWS/GCP, AI/ML libraries, automation scripting.
**Growth Path**: Starting as an Associate, high performers can progress to Senior Associate, Manager, and eventually to specialized roles such as AI/ML Engineer, Solution Architect, or Technology Lead, with opportunities to work on global client engagements and lead multi‑disciplinary teams.
**Why Join Accenture?** Accenture offers a vibrant, inclusive work environment, access to world‑class learning platforms, and the chance to work on transformative projects for Fortune‑500 clients. Freshers receive mentorship, structured training, and a clear career roadmap, making it an ideal launchpad for ambitious technologists.
🔔 Apply before 26 Aug 2026 — 39 days remaining
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📋 Quick Info
JOB ID
C559-J064
POSTED
1h ago
TYPE
Fulltime
BATCH
All Batches
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