S&C Global Network - AI - Hi Tech - Data Science Associate

Accenture in India; Bengaluru; Vor Ort; INR 1.200.000 - 1.800.000; Vollzeit

Zusammenfassung

Accenture in India is seeking a Decision Science Practitioner Associate in Bengaluru (preferred) with 0-2 years in AI/ML or Generative AI. You will support development of AI-powered solutions, work with prompts/APIs, and help validate AI outputs.

The role involves learning in a dynamic team, contributing to Azure/AWS cloud integrations, and building Python-based components. Ideal candidates hold a quant/engineering degree and have strong programming, API, and problem-solving skills.

Qualifikationen

• 0–2 years of hands-on AI/ML, data science or Generative AI experience.
• Bachelor's or Master's degree in a quantitative or engineering discipline.
• Strong programming and API skills (Python, SQL, REST) and familiarity with cloud AI platforms.

Aufgaben

• Support the development of LLM-powered applications using prompts, APIs, and established frameworks.
• Contribute to retrieval-augmented generation (RAG) solutions by organizing and validating knowledge sources.
• Assist in building and testing conversational AI applications and agent workflows under senior guidance.
• Perform functional testing and validation of AI outputs using defined test cases.
• Help analyze responses, identify improvements, and document findings.

Kenntnisse

Python

SQL

Generative AI fundamentals

Prompt engineering

APIs

Ausbildung

Bachelor's or Master's degree in a quantitative or engineering field

Tools

Git

Docker

CI/CD

Azure

AWS

Jobbeschreibung

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

Job Summary: 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.

Key Responsibilities

Generative AI, Agentic AI and RAG

• Support the development of LLM-powered applications using prompts, APIs, and established frameworks.
• Contribute to retrieval-augmented generation (RAG) solutions by preparing, organizing, and validating knowledge sources.
• Assist in building and testing conversational AI applications and agent workflows under guidance from senior team members.
• Perform functional testing and validation of AI application outputs using defined test cases.
• Help analyze responses, identify improvement opportunities, and document findings.

Cloud Platform Expertise

• Work with Azure and/or AWS AI services under supervision.
• Support environment configuration, application testing, and monitoring activities.
• Learn and apply enterprise security and access management standards.

AI Engineering and Deployment

• Develop Python-based components and integrations with APIs and enterprise systems.
• Use Git and standard development practices for source code management and collaboration.
• Create technical documentation and support testing, troubleshooting, and deployment activities.

Required Qualifications

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.

Technical Skills

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.

Preferred Skills

• Exposure to Generative AI frameworks such as LangChain, LangGraph, or similar tools.
• Basic understanding of agentic AI concepts, tool calling, and workflow orchestration.
• Knowledge of machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.
• Familiarity with vector databases, embeddings, and enterprise knowledge retrieval concepts.
• Exposure to Git, Docker, CI/CD, or software development lifecycle practices.
• Strong communication, analytical thinking, and collaborative problem-solving skills.

Additional Information

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.

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