
Senior Manager- Data Science
4 hours ago
Senior Manager Data Science (AI CoE)
Location: Mumbai, India (Hybrid minimum 3 days per week in office)
Business Unit: Knowledge Services
About the Role
Our client is seeking a Senior Manager Data Science (AI Center of Excellence) to join our growing team in Mumbai. This individual contributor role focuses on applying cutting-edge AI, Generative AI, and advanced data science techniques to solve complex problems in insurance, risk management, and commercial advisory services. The ideal candidate will bring strong expertise in Python, Large Language Models, Prompt Engineering, Cloud Deployment (AWS), and advanced statistical modeling to deliver market-leading AI solutions.
Key Responsibilities
- Design, build, and deploy AI/ML algorithms for commercial insurance and risk management use cases.
- Develop solutions leveraging Generative AI, LLMs, advanced transformers, multimodal models (image, video, text), and neural networks.
- Mine and analyze structured/unstructured data to derive insights, optimize processes, and implement business strategies.
- Deploy and manage API-based AI solutions on AWS and integrate them into enterprise platforms.
- Contribute to the design and development of enterprise data architecture and analytics platforms.
- Stay updated with emerging AI/ML research and apply new approaches to strengthen company's analytics capabilities.
- Mentor junior data scientists and collaborate with technology teams to retrain, optimize, and enhance deployed models.
- Consult with senior stakeholders on financial/statistical analyses and AI-driven solutions.
- Build statistical and econometric models from scratch to support new product development and enhance current offerings.
What Were Looking For
- Education: Masters degree in engineering, Computer Science, Data Science, or related field.
- Experience: 7+ years in Data Science, AI/ML, or applied research (insurance or banking industry experience is a plus).
Technical Expertise:
Strong proficiency in Python (NumPy, Keras, TensorFlow, PyTorch, SQL).
- Hands-on with Hugging Face libraries and modern model architectures.
- Proven experience in training, fine-tuning, and deploying advanced AI models (LLMs, computer vision, multimodal RAGs).
- Experience with AWS cloud services for AI/ML deployment.
- Strong foundation in mathematics, statistics, stochastic, and econometric modeling.
- Familiarity with data visualization tools (Plotly, Dash, ).
What Makes You Stand Out
- Proven track record of building, training, and deploying AI/ML models from scratch to production.
- Demonstrated business impact through AI-driven solutions.
- Understanding of insurance, risk, and financial services.
- Experience with voice, language, image, and computer vision models.
- Ability to bridge research-level AI advancements into practical enterprise applications.
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