Job Summary:

We are seeking a highly skilled and motivated Data Science 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

- Develop fine-tune models for NLP, Computer Vision, and multimodal applications, leveraging GenAI frameworks.
- Build autonomous workflows using prompt engineering, API/tool integration, and orchestration frameworks (LangChain, LlamaIndex, AutoGen)
- Monitor, debug, and fine-tune AI agents to improve context handling, error recovery, and response quality.
- Build retrieval pipelines using vector databases such as Pinecone, FAISS, Weaviate or Milvus

Cloud Platform Expertise

- Implement scalable data science workflows on Azure or AWS for marketing, supply chain, or sales analytics projects.
- Leverage cloud-native tools for model training, deployment, and monitoring (e.g., SageMaker, Azure Machine Learning).

Data Science and Engineering

- Perform advanced analytics using Python, SQL, and machine learning frameworks like TensorFlow or PyTorch.
- Develop predictive models, recommendation systems, and optimization solutions tailored to business needs.
- Manage large-scale datasets, preprocessing pipelines, and feature engineering for diverse data modalities.

Required Qualifications

- Experience:



2+ 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 solid 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

📌 S&C Global Network - AI - Hi Tech - Data Science Associate (India)
🏢 Accenture
📍 India