Data Science Associate

Round 1: Online assessment (aptitude and coding) → Round 2: Technical interview (Python, SQL, AI concepts, problem solving) → Round 3: HR interview (fitment, communication, career goals)

Accenture promotes a flexible work environment with a strong emphasis on learning and mentorship. Employees benefit from global exposure, structured career ladders, and a balanced approach to work‑life integration, supported by robust employee resource groups.

Accenture’s interview process typically starts with an online aptitude test followed by a technical interview that probes Python, SQL, and AI fundamentals. The final HR round assesses cultural fit, communication, and career aspirations. Candidates should practice prompt engineering and RAG concepts, and be ready to discuss real‑world AI projects.

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Statistics, Applied Mathematics, Engineering or a related technical discipline. Acceptable branches include B.Tech, B.E, B.Sc (Computer Science/IT), BCA, M.Tech, M.E, M.Sc, MCA. Minimum aggregate of 60% (or CGPA 6.0/10) in the qualifying degree. Final year students of the 2026 batch are eligible. No active backlogs at the time of application; a maximum of one backlog in the final year may be considered with a valid explanation.

Accenture is a global professional services powerhouse that blends consulting, technology, and operations to drive digital transformation for Fortune 500 clients. With a presence in over 120 countries, the firm invests heavily in emerging technologies such as artificial intelligence, cloud, and analytics, offering employees a platform to work on high‑impact projects across industries. The company’s culture emphasizes continuous learning, diversity, and a collaborative mindset, making it a preferred destination for ambitious technologists. The Decision Science Practitioner Associate role sits within the S&C Global Network – AI – Hi Tech practice, focusing on Generative AI, data science, and analytics. As a Data Science Associate, you will assist senior practitioners in building LLM‑powered applications, retrieval‑augmented generation (RAG) pipelines, and agentic AI workflows. The position is designed for early‑career talent (0‑2 years of experience) and offers exposure to cutting‑edge AI platforms on Azure and AWS, as well as industry‑standard development tools. Key Responsibilities: 1. Develop and test Python‑based components that integrate with LLM APIs and enterprise services. 2. Build and validate RAG pipelines, including document ingestion, embedding creation, and context retrieval. 3. Design, refine, and evaluate prompts to improve the quality of generative outputs. 4. Implement RESTful API integrations for AI‑driven applications. 5. Conduct functional testing of AI responses, documenting accuracy, relevance, and hallucination metrics. 6. Assist in creating conversational AI agents that can invoke external tools or services. 7. Collaborate with cloud teams to configure and monitor Azure/AWS AI services. 8. Maintain source code using Git, follow CI/CD best practices, and contribute to documentation. 9. Participate in code reviews and knowledge‑sharing sessions with senior data scientists. 10. Support security and compliance checks for AI solutions. Tech Stack: Python, SQL, Generative AI fundamentals, Prompt Engineering, REST APIs, Git, Docker basics, Azure AI Services, AWS SageMaker, LangChain/LangGraph, scikit‑learn, TensorFlow/PyTorch (optional). Growth Path: Starting as an Associate, high performers can progress to Decision Science Practitioner, Senior Data Scientist, and eventually AI Solution Architect, with opportunities to lead client engagements and contribute to Accenture’s AI thought leadership. Why Join Accenture? The firm offers a best‑in‑industry compensation package, access to world‑class learning platforms, and the chance to work on transformative AI projects for global brands. Early exposure to Generative AI, RAG, and agentic workflows equips you with future‑ready skills, while the collaborative culture ensures mentorship and rapid career growth.