Accenture Hiring 2026: AI/ML Computational Science Analyst (Noida)

Company :- Accenture
Job Title :- AI/ML Computational Science Analyst
Job Requisition ID :- AIOC-S01634415
Skill Required :- Tech for Operations – Artificial Intelligence (AI)
Work Model / Shift :- Rotational Shifts (In-Office / Hybrid Operations)
Employment Type :- Full-Time
Experience Level :- 0 to 2 Years (Listed in Qualifications; Header indicates early-career scope up to 5 years)
Education Qualification :- B.Tech
Location :- Noida, Uttar Pradesh, India

The Tech for Operations – Artificial Intelligence (AI) group within Accenture delivers enterprise-grade machine learning, natural language processing, and Generative AI solutions across client domains. The team focuses on automating complex business operations, optimizing Average Handling Time (AHT), and integrating advanced analytics pipelines into business process workflows.

AI Solution Building & Process Optimization

• Solution Engineering: Design, build, and deploy domain-specific AI/ML models to optimize business operations and reduce process handling time (AHT).
• Generative AI & LLM Deployment: Utilize Large Language Models (LLMs), prompt engineering, and Deep Learning techniques to automate complex operational workflows.
• Agile Execution: Work within Agile development teams, ensuring project delivery with minimum or zero red flags while communicating risks proactively.

Quality Control & Stakeholder Management

• Testing & Quality Assurance: Drive unit testing, integration testing, user acceptance testing (UAT), and performance/stress testing across model pipelines.
• Cross-Functional Collaboration: Engage with cross-functional stakeholders, aligning engineering outputs with business goals set by Accenture leadership.
• Documentation & Storytelling: Translate complex analytical findings into clear business documentation, executive presentations, and visual reports.

Education & Experience

• Educational Background: B.Tech (Computer Science, Information Technology, Data Science, AI/ML, or related engineering streams).
• Experience Level: 0 to 2 Years of hands-on experience in machine learning development or analytics.

Technical Competencies

• Programming & Core AI: High proficiency in Python, Machine Learning algorithms, and Deep Learning frameworks.
• NLP & GenAI: Practical exposure to Natural Language Processing (NLP), Large Language Models (LLMs), and Prompt Engineering.
• Database & Cloud Management: Working knowledge of SQL and NoSQL databases, combined with cloud and DevOps tools for deployment.
• Quality & Testing: Familiarity with software quality assurance (Unit, Integration, UAT, Stress testing).

Behavioral Competencies

• Strong stakeholder management and client relationship-building capabilities.
• Ability to handle project disputes, operate under tight delivery pressure, and navigate ambiguity.
• High proficiency in technical documentation and executive storytelling.

Estimated Compensation Expectations

For an AI/ML Computational Science Analyst (0–2 years experience) at Accenture Operations:

• Estimated Base Compensation: ₹5,50,000 to ₹8,50,000 INR per annum.
• Total Annual CTC: ₹6,00,000 to ₹10,00,000 INR (inclusive of performance variable pay and health benefits).

1. Profile Screening (B.Tech Verification + Python/NLP/GenAI Keyword Parsing)
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2. Online Technical Assessment (Python Coding, SQL Queries, and Machine Learning Fundamentals)
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3. Technical Round 1 (Algorithms, Model Evaluation, NLP/LLM Concepts & Data Preprocessing)
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4. Technical Round 2 (Real-world Scenario Solving, AHT Reduction Logic, DevOps & Testing)
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5. HR & Stakeholder Round (Shift Flexibility, Behavioral Alignment & Offer Rollout)

• Python & Core ML: Data manipulation (pandas, numpy), Model training (scikit-learn), Hyperparameter tuning, and Evaluation metrics (Precision, Recall, F1-Score, ROC-AUC).
• GenAI & NLP: Tokenization, Embeddings, Fine-tuning vs. RAG (Retrieval-Augmented Generation), Prompt design techniques, Transformer architecture.
• Database & QA: Joins and aggregations in SQL, vector indexing in NoSQL, writing unit tests for ML pipelines (pytest).

Ensure your resume features these targeted keywords to pass automated resume screening:

• AI/ML Computational Science
• Python Scripting & PyTorch/TensorFlow
• Natural Language Processing (NLP)
• Generative AI / LLMs / Prompt Engineering
• DevOps & Cloud Technologies
• SQL & NoSQL Database Management
• Unit Testing / Integration Testing / UAT
• Average Handling Time (AHT) Reduction

• Cross-Functional Stakeholder Management
• Agile Software Development
• Executive Storytelling & Documentation
• Quality Control Best Practices

1. What is the official Job Number for this posting?

The job requisition number is AIOC-S01634415.

2. Are rotational shifts mandatory for this role?

Yes, the job description explicitly notes that candidates may be required to work in rotational shifts based on project requirements.

3. What is the required educational qualification?

Applicants must hold a B.Tech degree from a recognized university.

4. What is the primary coding language required?

Python is the primary programming language required for building and testing AI/ML models in this role.