Job Description

Job Title -

Decision Science Practitioner Sr. Analyst S&C GN

Management Level: Sr. Analyst

Location:

Bangalore/ Kolkata/

Gurugram/Hyderabad

Must have skills:

Generative AI

Good to have skills:

Data Science

Job Summary:

We are seeking a highly skilled and motivated

Data Science Sr. Analyst

to lead innovative projects and drive impactful solutions in domains such as

Consumer Tech

,

Enterprise Tech

, and

Semiconductors

. This role combines

hands-on technical expertise

, and

client delivery management

to execute cutting-edge projects in Generative AI, decision science, and cloud-based analytics.

Key Responsibilities

Generative AI Expertise

Design and fine-tune GenAI models for NLP, CV, and multimodal use cases, ensuring enterprise scalability. Architect agentic AI solutions with orchestration frameworks (LangChain, LlamaIndex, AutoGen), integrating APIs and enterprise knowledge bases. Optimize agent workflows by defining monitoring, fine-tuning RAG pipelines, and improving context handling and reliability. Build scalable retrieval pipelines using vector databases (Pinecone, FAISS, Weaviate, Milvus) for high-performance enterprise integration.

Cloud Platform Expertise

Design scalable AI/ML workflows on Azure or AWS for cross-functional domains with cost and performance optimization. Leverage cloud-native MLOps tools (SageMaker, Azure ML) for model training, deployment, monitoring, and governance.

Data Science and Engineering

Develop advanced predictive models, recommendation engines, and optimization solutions, ensuring business relevance and measurable impact. Engineer robust data pipelines and feature stores to support GenAI and ML models across structured, unstructured, and multimodal datasets.

Required Qualifications

Experience:

3+ years in data engineering/data science

Education:

B tech, M tech in Computer Science, Statistics, Applied Mathematics, or related field

Technical Skills

Programming:

Proficiency in

Python

,

SQL

, and libraries for NLP and Computer Vision (e.g., Hugging Face, OpenCV).

GenAI Expertise:

Hands-on experience in model development (selection, fine-tuning), model evaluation and optimization, deployment architecture (design, API/integration design), multi-step reasoning workflows, and autonomous agents

Cloud Platforms:

Experience with

Azure

and/or

AWS

in data science workflows.

Data Science Tools:

Expertise in machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). GenAI & LLM Tooling : LangChain, LlamaIndex, Hugging Face Transformers, vector databases (e.g., FAISS, Pinecone) Familiarity with cloud platforms like AWS, Azure, or GCP, especially services like S3, Redshift, BigQuery, or Azure Data Lake.

Preferred Skills

Experience in decision science projects focused on

marketing

,

supply chain

, or

sales

. Strong analytical and problem-solving skills with a results-oriented mindset. Excellent communication and stakeholder management capabilities.

Additional Information:

The ideal candidate will possess a strong educational background in quantitative discipline and experience in working with Hi-Tech clients This position is based at our Bengaluru (preferred), Kolkata and Hyderabad office.

About Our Company | Accenture

Experience:

3+ years in data science

Educational Qualification: B tech,

M tech in Computer Science, Statistics, Applied Mathematics, Engineering or related field