Accenture, a world-renowned leader in professional services and digital transformation, is officially inviting applications for its Off Campus Drive 2026. This is an incredible opportunity for freshers and early-career professionals to join as an AI/ML Computational Science Analyst at their Bangalore office. If you are eager to work on cutting-edge artificial intelligence and machine learning projects within a global innovation hub, this role is the perfect launchpad for your career.
Accenture Off Campus Hiring Drive 2026: Recruitment Overview
| Job Position | AI/ML Computational Science Analyst |
| Education | B.E/B.Tech/BSC/BCA/MCA or Any related degree |
| Batch | Any Batch (Freshers Eligible) |
| Experience | 0 – 2 Years |
| Expected Package | ~10 LPA (Approx) |
| Job Location | Bangalore |
| Drive Location | Online/Virtual |
| Last Date | Apply ASAP |
Detailed Job Description
As an Artificial Intelligence Analyst – Insight and Intelligence, you will be a vital part of the Knowledge-AI team. Your primary focus will be the deployment and delivery of existing AI assets while continuously innovating to meet market demands. This role is designed for those who have a passion for Software Engineering and advanced AI techniques.
- Designation: Management Level – Software Engineer
- Team: Knowledge-AI
- Core Focus: Machine Learning, Deep Learning, NLP, and Generative AI (Gen-AI).
Key Responsibilities:
- AI Solution Development: Building enterprise-grade AI solutions across multiple domains to reduce turnaround time and improve business efficiency.
- Feature Enhancement: Adding new features and handling change requests based on evolving market demands by leveraging latest technologies.
- Stakeholder Management: Collaborating with business experts, researchers, and platform engineers to deliver creative and innovative solutions.
- Agile Delivery: Working within an Agile development setup, ensuring timely flagging of concerns and meeting leadership objectives.
- Quality Control: Implementing best practices in quality control, including Unit Testing, Integration Testing, User Acceptance Testing (UAT), and Stress/Performance Testing.
- Documentation & Presentation: Maintaining high standards of documentation and utilizing storytelling skills to present technical findings to non-technical stakeholders.
Required Skills and Qualifications
Accenture is looking for candidates who are proficient in AI-based techniques and have a strong technical foundation. The ideal candidate should possess:
- Technical Expertise: Proficiency in Python (Programming Language), Machine Learning, and Natural Language Processing (NLP).
- Advanced AI: Knowledge of Deep Learning, GenAI, Large Language Models (LLM), and Prompt Engineering.
- DevOps & Cloud: Understanding of Cloud Technologies and DevOps practices for AI deployment.
- Database Management: Good understanding of both SQL and No-SQL databases.
- Soft Skills: Ability to perform under pressure, handle disputes, and establish strong client relationships.
- Domain Knowledge: Passion for staying current with emerging technologies in the AI/ML landscape.
Why Join Accenture?
Joining Accenture means being part of a team that builds solutions benefiting users, communities, and society at large. Guided by core principles that engender trust, the AI innovation team at Accenture provides a platform to work on high-impact projects that define the future of technology.
How to Apply for Accenture Off Campus Drive 2026
Interested and eligible graduates are encouraged to register as soon as possible. Follow the link below to complete your application on the official Accenture recruitment portal.
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Note: Applications are processed on a first-come, first-served basis. Ensure your resume highlights your projects in Python, ML, and NLP to increase your chances of selection.
