Lead - Data Science

Experience: 12- 16 Years
About the Role:
We are looking for a seasoned professional with deep expertise in analytics and AI, particularly within the BFSI domain.

The ideal candidate will bring strong hands-on experience in Python-based statistical and machine learning model development, along with exposure to AWS AI stack and GenAI technologies.
This role requires a self-driven individual with the ability to explore, learn, and apply emerging AI technologies to solve complex business problems and enhance decision-making capabilities.
Key Responsibilities:
- Design, develop, and deploy statistical and machine learning models to address business challenges across the BFSI sector.
- Work on end-to-end model lifecycle — data exploration, feature engineering, model building, validation, and performance monitoring.
- Leverage AWS AI/ML services, including hands-on work within the AWS Bedrock ecosystem, to build and scale AI solutions.
- Experiment with and adopt Generative AI (GenAI) tools and frameworks to create innovative applications and business solutions.
- Collaborate with cross-functional teams to translate business needs into technical requirements and actionable insights.
- Stay updated with advancements in AI/ML and contribute to the continuous improvement of analytics capabilities.
- Mentor junior team members and foster a culture of data-driven innovation.
Required Qualifications & Skills
- 12-16 years of experience in Analytics, Data Science, or AI, preferably within the BFSI domain.
- Educational background in Computer Science, Statistics, or Data Science.
- Strong programming experience in Python with proficiency in libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch.
- Hands-on experience with AWS AI stack (SageMaker, Bedrock, etc.).
- Sound understanding of machine learning algorithms, statistical modeling, and data handling techniques.
- Exposure to GenAI tools and frameworks and ability to explore new AI technologies.
- Strong analytical and problem-solving skills with an ability to translate data insights into business actions.
- Excellent communication, collaboration, and stakeholder management skills.
- Demonstrated aptitude for learning and being a team player in a dynamic, fast-paced environment.
Preferred Qualifications
- Prior experience working on AI-driven solutions in the BFSI sector.
- Knowledge of LLM integration or prompt engineering for GenAI applications.
- Experience with cloud-based model deployment and MLOps practices.
Why Join Us
- Opportunity to work on cutting-edge AI initiatives in the BFSI industry.
- Exposure to advanced technologies such as AWS Bedrock and Generative AI.
- Collaborative, growth-oriented, and innovation-driven work culture.