Decision Science Practitioner Associate

Round 1: Online Assessment (aptitude, logical reasoning, coding) → Round 2: Technical Interview (AI/ML concepts, programming, problem solving) → Round 3: HR Interview (behavioral fit, motivation, cultural alignment)

Accenture promotes a collaborative, inclusive, and innovation‑driven culture where employees are encouraged to experiment with emerging technologies. The firm offers structured learning pathways, mentorship, and a balanced work‑life environment, with flexibility for remote or hybrid arrangements depending on project needs.

Accenture's interview process typically starts with an online assessment covering quantitative aptitude, logical reasoning, and basic coding. Successful candidates move to a technical interview that probes AI/ML fundamentals, Python programming, and problem‑solving ability. The final HR round evaluates cultural fit, communication skills, and motivation. Preparation should focus on clear articulation of projects, hands‑on coding practice, and understanding of generative AI concepts.

Bachelor's or Master's degree in Computer Science, Information Technology, Electronics, Mathematics, Statistics, or any quantitative/engineering discipline; minimum 60% aggregate (or CGPA 6.0/10); graduating batch 2024‑2026; no active backlogs; strong analytical and communication skills.

Accenture is a global leader in professional services, offering a broad range of services in strategy, consulting, digital, technology and operations. With a strong focus on innovation, Accenture helps Fortune 500 companies transform their businesses through cutting‑edge technologies such as cloud, AI, and analytics. The company’s Indian operations employ over 200,000 talent, providing a vibrant ecosystem for learning, growth, and exposure to world‑class projects across industries. The Decision Science Practitioner Associate role sits within Accenture’s S&C Global Network – AI – Hi Tech practice. As a fresh graduate, you will work alongside seasoned AI decision scientists to design, develop, and test generative AI solutions for enterprise clients. The position offers hands‑on experience with large language models (LLMs), retrieval‑augmented generation (RAG), and agentic AI workflows, while also building a solid foundation in cloud AI services, data engineering, and software development best practices. Key Responsibilities: 1. Support the end‑to‑end development of LLM‑powered applications using prompt engineering, API integration, and frameworks such as LangChain or LangGraph. 2. Assist in creating and validating knowledge bases for retrieval‑augmented generation, ensuring data quality and relevance. 3. Build, test, and fine‑tune conversational AI agents and workflow orchestrations under senior guidance. 4. Perform functional testing, generate test cases, and document validation results for AI outputs. 5. Analyze model responses, identify improvement areas, and contribute to iterative enhancements. 6. Work with Azure and/or AWS AI services to configure environments, deploy prototypes, and monitor performance. 7. Develop Python modules, write SQL queries, and integrate APIs with enterprise systems. 8. Use Git for version control, follow CI/CD pipelines, and maintain clear technical documentation. 9. Collaborate with cross‑functional teams—data engineers, solution architects, and business analysts—to align AI solutions with client objectives. 10. Stay updated on emerging AI trends, generative AI frameworks, and cloud AI platform capabilities. Tech Stack: Python, SQL, JSON, REST APIs, Git, Docker, Azure AI Services, AWS SageMaker, LangChain/LangGraph, scikit‑learn, TensorFlow/PyTorch, vector databases (e.g., Pinecone), and basic CI/CD tools. Growth Path: Starting as an Associate (Level 12), high performers can progress to Senior Associate, Manager, and eventually to AI Practice Lead, gaining exposure to larger client engagements, strategic AI roadmaps, and leadership opportunities. Accenture’s internal learning platforms and mentorship programs accelerate skill development, enabling rapid career advancement. Why Join Accenture? You will be part of a globally recognized brand that invests heavily in AI research and innovation. The role offers real‑world impact on Fortune‑level clients, a collaborative culture, and access to world‑class training resources. Fresh talent is valued, and the company’s structured career framework ensures clear progression, competitive compensation, and a vibrant work environment that balances challenging projects with work‑life harmony.