Founded by senior industry experts, Ganit is the fastest-growing data science company in Chennai with offices in Bengaluru, Mumbai & New Jersey.

Ganit has flipped the data science value chain. We don't start with a technique. For us, consumption comes first. With this philosophy we have successfully scaled from being a small start-up to 200 resource company with clients in the US, Singapore, Africa, UAE, and India.

We are helping Fortune 500 companies across the globe to maximize their Decision-Making Power (#DMP). We are looking for experienced data enthusiasts who can make data talk to them.

Senior Data Scientist
What we are looking for

- Apart from your love for data and ability to code even while sleeping you would need the following.
- Minimum of 6 years of experience in designing and delivery of data science solutions.
- You should have successful projects of retail/BFSI/FMCG/Manufacturing/QSR in your kitty to show-off.
- Deep understanding of various statistical techniques, mathematical models, and algorithms to start the conversation with the data in hand.
- Ability to choose the right model for the data and translate that into a code using R, Python, VBA, SQL, etc.
- Bachelors/Masters degree in Engineering/Technology or MBA from Tier-1 B School or MSc. in Statistics or Mathematics

What you will be doing
1. Understand business problems and translate business requirements into technical requirements.
2. Conduct complex data analysis to ensure data quality & reliability i.e., make the data talk by extracting, preparing, and transforming it.
3. Identify, develop and implement statistical techniques and algorithms to address business challenges and add value to the organization.
4. Gather requirements and communicate findings in the form of a meaningful story with the stakeholders.
5.



Build & implement data models using predictive modelling techniques. Interact with clients and provide support for queries and delivery adoption.
6. Lead and mentor data analysts

Senior Data Scientist-Gen AI

Job Overview:

We are looking for a highly skilled and self-motivated Generative AI Engineer with over 5 years of experience to join our agile Data Science team. The ideal candidate will bring deep expertise in Generative AI, along with a solid foundation in Data Science. You should have hands-on experience in designing, deploying, and managing Large Language Model (LLM)-based solutions, developing intelligent AI agents, and delivering scalable AI applications on cloud platforms. In this role, you will be instrumental in building end-to-end intelligent systems that drive tangible business impact across diverse domains.

Key Responsibilities:

Qualifications:

Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field.

5+ years of hands-on experience in machine learning and data science.

Proficient in Python and ML libraries (scikit-learn, pandas, Hugging Face Transformers, etc.).

Generative AI & LLMs

- Lead, Design, fine-tune, and deploy Large Language Models (LLMs) using platforms such as AWS Bedrock and open-source model hubs.
- Build and manage autonomous AI agents using frameworks like LangGraph, Crew AI, Phidata, AutoGen, or AWS Bedrock Agents.
- Implement Retrieval-Augmented Generation (RAG) pipelines with vector databases (e.g., Pinecone, FAISS,



PGVector) to enhance contextual responses.
- Conduct LLM evaluations using prompt engineering techniques and custom fine-tuning to optimize performance for business use cases.
- Evaluate model performance using appropriate metrics and optimize for accuracy, efficiency, and scalability.
- Stay updated with the latest research in Gen AI and integrate relevant innovations into ongoing projects.
- Contribute to model governance, interpretability, and responsible AI practices.

Programming & Software Engineering

- Write clean, modular, and well-documented Python code, leveraging machine learning libraries and agentic frameworks (e.g., LangGraph, AutoGen, Crew AI).
- Deploy AI agents on cloud platforms with a focus on user experience, including building lightweight front-end interfaces using tools like Streamlit or Gradio.
- Use Git for version control, collaborating through pull requests, code reviews, and CI/CD workflows.
- Adhere to software engineering best practices, including testing, code modularity, and documentation for maintainability and scalability.

Teamwork & Communication

- Collaborate with cross-functional teams including data engineers, product managers, and business stakeholders to deliver AI-driven solutions.
- Translate complex technical concepts into clear insights for both technical and non-technical audiences.
- Manage multiple projects simultaneously, ensuring timely delivery and high-quality outputs.

Must have - Data Science & NLP

- Develop and deploy supervised ML models including regression, classification, and time-series forecasting.
- Apply NLP techniques for text classification, sentiment analysis, and named entity recognition.
- Use vector embeddings for similarity search and information retrieval task

📌 Senior Data Scientist (Mumbai)
🏢 Ganit Business Solutions
📍 Mumbai