Sr. Manager Data Scientist
- 7-15 Yrs
- Noida, India
- Posted On: 20 July 2026
- AI Department
| Field | Details |
|---|---|
| Employment Type | Permanent |
| Number of Openings | 1 |
| Seniority Level | Mid Senior Level |
| Job Function | Development |
| Project | – |
| Preferred Work Mode | Work from office |
| Preferred Location | Noida |
| Department | AI |
| Designation | Sr. Manager |
| Branch | Noida |
Job Description-
We are looking for an experienced Sr. Manager- Data Scientist to lead the design, development, and deployment of enterprise-scale AI solutions. The ideal candidate will have 7-15+ years of experience in Data Science, Machine Learning, and Generative AI, with a proven track record of building AI products from concept to production, leading high-performing AI teams, and driving enterprise AI strategy. This role requires a strong blend of technical expertise, solution architecture, business acumen, and leadership.
Responsibilities:
- Define and execute the organization’s AI, Machine Learning, and Generative AI strategy aligned with business objectives.
- Lead the end-to-end development of enterprise AI products, from solution design and model development to deployment and continuous optimization.
- Design and implement enterprise-scale Generative AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, fine tuning, and
modern AI orchestration frameworks. - Develop intelligent AI applications including AI Assistants, Copilots, Conversational AI, Document Intelligence, and Business Automation solutions.
- Build scalable Machine Learning and Deep Learning models for predictive analytics, fraud detection, recommendation systems, NLP, anomaly detection, forecasting, underwriting, and risk analytics.
- Design secure, scalable, and cloud-native AI architectures while implementing MLOps best practices for model deployment, monitoring, and lifecycle management.
- Collaborate with Product, Engineering, Business, and Client stakeholders to translate business
requirements into scalable AI solutions. - Lead technical discussions with customers and executive leadership, providing strategic guidance on AI adoption and enterprise AI transformation.
- Build, mentor, and lead high-performing teams of Data Scientists, AI Engineers, ML Engineers, and Data Engineers while fostering innovation and technical excellence.
- Stay current with emerging AI technologies, research, and industry best practices to drive continuous innovation.
Requirements
- 7-15+ years of experience in Data Science, Artificial Intelligence, or Machine Learning.
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Statistics, Mathematics, or a related field.
- Minimum 5 years of experience leading AI/ML teams.
- Hands-on experience with Generative AI and Large Language Models.
- Strong experience designing AI solution architecture.
- Proven ability to build AI products from scratch.
- Experience deploying AI models into production environments.
- Experience in Insurance, Healthcare, or BFSI domains is highly preferred.
- Strong understanding of enterprise architecture, scalable system design, and cloud-native AI solutions.
Why Join Consint.ai:
1. Employee-Centric Atmosphere: At Consint.ai, we prioritize our people. Enjoy a workplace where your growth, well-being, and career development are at the forefront.
2. High Work Ethics: Be a part of a team that values professionalism, integrity, and a strong work ethic.
We believe in delivering excellence in every project we undertake.
3. Innovative Work Culture: Join a company that thrives on innovation. We encourage creative thinking and provide the opportunity to work on groundbreaking projects in AI and healthcare.
4. Fun at Work: We understand the importance of a balanced work-life dynamic. Experience a fun and engaging work environment with regular team-building activities, celebrations, and more.
5. Learning and Development: Consint.ai is committed to your professional growth. Benefit from ongoing learning opportunities, training programs, and skill development initiatives8