Lead Data Scientist

Ganit Inc.; Bengaluru; On-site; INR 2,800,000 - 5,200,000; Full time

Job summary

Ganit Inc. is seeking a Lead Data Scientist – Generative AI to spearhead the design, development, and deployment of enterprise GenAI solutions. You will leverage LLMs, RAG, agentic AI, and prompt engineering to deliver scalable AI capabilities for enterprise clients.

The role combines technical excellence with consulting experience, leadership of a data science team, and collaboration with stakeholders to solve complex business problems using cutting‑edge GenAI technologies.

Qualifications

• Bachelor's or Master's degree in CS, DS, AI, statistics or mathematics.
• 8–12 years of experience in Data Science or Machine Learning.
• 2+ years hands-on experience building production-grade Generative AI applications.
• Experience in consulting or client-facing roles.

Responsibilities

• Lead the design, development, and deployment of GenAI solutions for enterprise clients.
• Mentor a team of Data Scientists and AI Engineers.
• Collaborate with Product Managers, Solution Architects, and Data Engineers to deliver end-to-end AI solutions.

Skills

LLMs

RAG

Agentic AI

Prompt Engineering

Python

Model Evaluation

Team Leadership

Education

Bachelor's or Master's in CS/DS/AI/Statistics/Math

Tools

AWS

Azure

GCP

APIs

Job description

Job Title: Lead Data Scientist – Generative AI (GenAI)

About Ganit

At Ganit, analytics is our playing field. We're not just data geeks—we're a family of scientists, refiners, and artisans. We manage data from the source and transform it into meaningful business insights, helping enterprises build state-of-the-art AI and analytics solutions that drive impactful decisions.

Founded in 2017, Ganit is a leading Data Science and Analytics consulting company with a team of 150+ passionate data scientists, analysts, and engineers. Our mission is to maximize decision velocity and minimize decision risk by enabling organizations to become truly data-driven.

At Ganit, innovation, collaboration, and continuous learning are at the core of everything we do.

Learn more at www.ganitinc.com

Position: Lead Data Scientist – Generative AI

Experience: 7–12 Years

Role Overview

We are looking for a highly motivated Lead Data Scientist – Generative AI to lead the design, development, and deployment of enterprise‑grade GenAI solutions. The ideal candidate will possess strong expertise in Large Language Models (LLMs), Retrieval‑Augmented Generation (RAG), Agentic AI, Prompt Engineering, and modern AI frameworks.

This role requires a blend of technical excellence, client‑facing consulting experience, solution architecture capabilities, and team leadership. You will work closely with clients, business stakeholders, data engineers, and product teams to solve complex business problems using cutting‑edge AI technologies.

Key Responsibilities

Client Consulting & Solution Design

• Engage with enterprise clients to understand business challenges and identify opportunities to leverage Generative AI.
• Translate business requirements into scalable AI solutions and technical architectures.
• Present AI strategies, solution approaches, and proof‑of‑concepts to senior stakeholders.

Generative AI Development

• Design, develop, and deploy production‑ready GenAI applications.
• Implement AI Agents and multi‑agent workflows using modern orchestration frameworks.
• Optimize prompts, context management, and model performance.
• Develop predictive models and ML solutions where traditional ML complements GenAI.
• Perform feature engineering, model evaluation, experimentation, and performance tuning.
• Apply statistical techniques to solve complex business problems.
• Build scalable AI services using Python and modern software engineering practices.
• Deploy AI models on cloud platforms such as AWS, Azure, or GCP.
• Develop APIs and integrate AI capabilities into enterprise applications.
• Monitor model performance, cost optimization, and production reliability.
• Partner with Product Managers, Solution Architects, Data Engineers, and Software Engineers to deliver end‑to‑end AI solutions.
• Collaborate with cross‑functional teams throughout the project lifecycle.
• Lead and mentor a team of Data Scientists and AI Engineers.
• Conduct technical reviews and establish best practices.
• Guide junior team members in model development, experimentation, and deployment.
• Stay current with advancements in LLMs, multimodal AI, Agentic AI, and emerging GenAI technologies.
• Evaluate new models, frameworks, and open‑source tools.
• Drive innovation through internal accelerators, reusable assets, and thought leadership.

Preferred Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or a related field.
• 8–12 years of experience in Data Science or Machine Learning.
• 2+ years of hands‑on experience building production‑grade Generative AI applications.
• Experience in consulting or client‑facing roles.
• Strong communication and stakeholder management skills.
• Experience leading technical teams and mentoring data scientists.