Job Title - Decision Science Practitioner Analyst S&C GN
Management Level: Analyst (Level 11)
Location: Bengaluru (preferred) / Kolkata / Gurugram
Must have skills: Python, SQL, GenAI/LLMs, Agentic AI fundamentals, RAG and API integration
Good to have skills: LangGraph or similar frameworks, MCP, multi-agent systems, A2A, cloud AI platforms, evaluation and observability
Experience: 2+ years in AI/ML, data science, GenAI or related engineering
Educational Qualification: Bachelor's or Master's degree in Computer Science, AI, Data Science, Statistics, Applied Mathematics, Engineering or a related field
Job Summary:
We are seeking a hands-on Decision Science / AI Analyst to build and deliver Generative AI, Agentic AI and analytics solutions for Consumer Tech, Enterprise Tech and Semiconductor clients. Working with senior team members and client stakeholders, the Analyst will contribute to agents, knowledge retrieval and cloud-based applications, and support their testing and responsible use.
Key Responsibilities
Generative AI, Agentic AI and RAG
- Develop LLM-powered assistants and agent workflows with guidance from senior team members, including prompts, tool calls and API integrations.
- Build RAG components to retrieve relevant information from enterprise documents and data, using embeddings, metadata and vector search.
- Contribute to agent workflow design and orchestration using LangGraph or similar frameworks where appropriate.
- Support evaluation of outputs and workflows using representative test cases for relevance, groundedness, task success and basic performance measures.
- Use logs and traces to investigate issues and help improve response quality and reliability.
- Follow project standards for data access, sensitive information and Responsible AI; support guardrails and human review where needed.
Cloud Platform Expertise
- Contribute to AI solutions on Azure and/or AWS using relevant managed AI and data services under project guidance.
- Support deployment, monitoring and secure handling of credentials and access according to project standards.
AI Engineering and Deployment
- Develop Python components and REST API integrations to connect AI applications with enterprise systems and data sources.
- Use Git, modular code, basic tests, logging, reviews and documentation; collaborate across teams and assist with deployment.
Technical Skills
Programming and APIs: Python, SQL, JSON, REST APIs and sound software engineering practices.
GenAI and agents: LLM application development, prompts, RAG and familiarity with agent workflows and tool calling.
Retrieval: Embeddings, vector search and enterprise knowledge ingestion; familiarity with one vector database or search service.
Cloud and quality: Familiarity with Azure and/or AWS, testing and basic data security and Responsible AI practices.
Preferred Skills
- Exposure to MCP, A2A, multi-agent design, agent memory, GraphRAG or multimodal applications.
- Experience with LangGraph, LangChain or similar frameworks; evaluation and tracing tools; Docker or CI/CD.
- Working knowledge of scikit-learn, PyTorch or TensorFlow and decision science applications in marketing, sales, supply chain or customer experience.
- Clear communication, analytical problem solving and experience working with Hi-Tech clients or cross-functional stakeholders.
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.
About Our Company | Accenture
Required Qualifications
Experience: 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.
About Accenture
Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us at www.accenture.com
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Skills Required
- 2+ years of experience in data engineering or data science
- Bachelor's or master's degree in Computer Science, Statistics, Applied Mathematics, or a related field
- Proficiency in Python and SQL
- Experience with NLP and computer vision libraries such as Hugging Face and OpenCV
- Hands-on experience developing, selecting, fine-tuning, evaluating, and optimizing generative AI models
- Experience designing deployment architectures, APIs, integrations, multi-step reasoning workflows, and autonomous agents
- Experience with AWS and/or Azure data science workflows
- Expertise with machine learning frameworks such as scikit-learn, TensorFlow, or PyTorch
- Experience with LangChain, LlamaIndex, Hugging Face Transformers, and vector databases
- Strong analytical and problem-solving skills
- Excellent communication and stakeholder management capabilities
- Experience with decision science projects in marketing, supply chain, or sales
- Experience working with Hi-Tech clients
Accenture Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Accenture and has not been reviewed or approved by Accenture.
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Healthcare Strength — Pay is considered competitive when paired with robust insurance options and other perks that compare well with large consulting and IT services peers. Multiple national medical plan options plus dental and vision are positioned as a core strength of the overall package.
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Retirement Support — Retirement support is positioned as a standout feature through a 401(k) dollar-for-dollar match up to a set percentage after eligibility. The package is reinforced by additional financial programs such as savings tools and related resources.
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Parental & Family Support — Parental and caregiving supports are presented as a meaningful benefit differentiator through substantial paid parental leave and multiple caregiver-oriented programs. Backup care and fertility/adoption/surrogacy navigation and reimbursements add breadth to family support beyond leave alone.
Accenture Insights
What We Do
Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Interactive, Technology and Operations services—all powered by the world’s largest network of Advanced Technology and Intelligent Operations centers. Our 500,000+ people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.
