Experience : 10+ years of combined experience in data science, analytics, and AI.

Looking for Candidates from Product based Banking, Fintech or Telecom Companies.

Qualification - PHD in Computers/Maths.

Lead Data Scientist - Research & Foundation AI Focus.

Location: Mumbai, Trivandrum or Delhi preferred.

Company: Pioneer in Agentic AI Solutions for Subscription Marketplace Performance Optimization.

About the Company:

- Company pioneers enterprise-grade Agentic AI solutions, leveraging large-scale behavioral data and foundation models.

- Our solutions enable intelligent agents to collaborate, co-create, adapt strategies, and autonomously execute actions to maximize measurable business impact.

Mission Statement:

- As Lead Data Scientist, you will define and execute a research-intensive AI and data science agenda.

- You will lead foundational model research, drive agentic AI innovation, and publish advances that propel organizational leadership in enterprise-grade AI agent solutions.

About the Role:

Own the foundation model and agentic AI research roadmap, setting strategic direction for breakthrough innovations.

Responsibilities:

- Lead peer-reviewed research, drive early-stage experimentation, and steward integration of research outcomes into advanced agentic AI products and platforms.

- Mentor and inspire an elite research-oriented data science team.

- Shape and drive original research in foundation models, large-scale generative architectures, and agentic reasoning.

- Lead benchmarking, adaptation, and application of state-of-the-art generative models (LLMs, multimodal transformers) for new product capabilities.

- Publish high-impact research; foster industry-academic collaborations and represent Company at AI conferences and global fora.

- Prototype, validate, and transfer novel agentic AI methods into enterprise contexts.

- Develop research frameworks, open science practices, and model governance for responsible AI innovation.

- Guide cross-functional research teams to integrate foundational advances into the organization's agentic AI platforms ( Niya-X).

- Advise on strategic investments in AI infrastructure and drive adoption of pioneering algorithms and architectures.

Qualifications:

- PhD (preferred) or Master's in Machine Learning, AI, Computer Science, Mathematics, or a related quantitative discipline.

- Peer-reviewed publications in top AI/ML conferences or journals.

Required Skills:

- Hands-on expertise with AI development environments.

- Experience developing, evaluating, and scaling foundation models such as LLMs or multimodal transformers.

- Familiarity with rapid prototyping and product development lifecycles in an innovation-driven research environment.

- Applied AI research experience.

Preferred Skills:

- Strong analytical, mentoring, and cross-team leadership skills.

- Ability to mentor, influence, and collaborate across multicultural, interdisciplinary research teams.

- Strong logical reasoning, decision-making, and strategic vision skills.