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Accenture is seeking a motivated Decision Science Associate to support Generative AI, analytics, and AI-powered solutions for clients in Bengaluru, Kolkata, or Gurugram. You will collaborate with senior practitioners to contribute to AI application development, knowledge retrieval, analytics, testing, and delivery while expanding expertise in GenAI technologies.
You will work on Python-based components, AI integrations, and deployment activities, while applying enterprise security standards and
Job Title - Decision Science Practitioner Associate
Management Level: Associate (Level 12)
Location: Bengaluru (preferred) / Kolkata / Gurugram
Must have skills: Python, SQL, Generative AI fundamentals, prompt engineering, APIs
Good to have skills: RAG fundamentals, agentic AI concepts, LangChain/LangGraph exposure, cloud AI platforms, machine learning fundamentals
Experience: 0-2 years in AI/ML, data science, software engineering, analytics, or related fields.
Educational Qualification: Bachelor's or Master’s degree in computer science, AI, Data Science, Statistics, Applied Mathematics, Engineering or a related field
We are seeking a motivated Decision Science Associate to support the development of Generative AI, analytics, and AI-powered solutions for our clients. Working closely with experienced practitioners, the Associate will contribute to AI application development, knowledge retrieval, analytics, testing, and solution delivery while building expertise in emerging AI technologies.
Programming and APIs: Python, SQL, JSON, REST APIs and sound software engineering practices.
GenAI Fundamentals: Prompt engineering, LLM applications, and basic understanding of RAG and AI assistants.
Cloud and AI Platforms: Exposure to Azure and/or AWS cloud services.
The position is based in Bengaluru (preferred), Kolkata or Gurugram. Candidates should be able to demonstrate hands-on contributions to AI solutions and explain the business problem, their contribution and how the solution was tested.
About Our Company | Accenture
Experience: 0-2 years of hands-on work in AI/ML, data science, Generative AI or related engineering.
Education: Bachelor's or Master's degree in a relevant quantitative or engineering discipline.
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
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