Develop advanced machine learning models and algorithms to solve business challenges. Analyze large datasets, create visualizations, maintain data systems and collaborate with cross-functional teams. Stay updated with emerging technologies and implement innovative AI solutions.

Design, develop and deploy machine learning models and large-scale data pipelines. Perform feature engineering, model evaluation and ETL development. Manage ML lifecycle using MLflow and Airflow while deploying scalable AI solutions through Docker, Kubernetes and cloud platforms.

Build and deploy machine learning models to solve business problems and improve operational efficiency. Perform data extraction, cleansing, transformation and feature engineering using Python and SQL. Conduct predictive modeling and statistical analysis on structured and unstructured datasets. Develop AI/ML solutions using TensorFlow, PyTorch and Scikit-learn. Implement NLP and Generative AI solutions leveraging LLMs and prompt engineering. Manage end-to-end ML lifecycle including deployment, monitoring and maintenance using cloud and MLOps tools.

Collaborate with stakeholders to gather business requirements, prepare BRDs and FRDs, build dashboards and KPI frameworks, develop reporting solutions, analyze business data, maintain process documentation, and support insurance domain analytics initiatives using modern BI technologies.

Support strategy and finance teams through in-depth financial research and analytical modeling. Build valuation models, perform competitor and industry analysis, support debt raising and IPO readiness initiatives, prepare investor presentations, and provide actionable insights for business decision-making.

Prepare business research reports, white papers, client proposals, and market studies. Conduct primary and secondary research, analyze industries and companies, build forecasting models, mentor analysts, support business development activities, and participate in client interactions and project scoping exercises.

Conduct online research using public databases, social media platforms, and web resources. Identify counterfeit listings, perform secondary research, prepare structured reports, execute data mining activities, support business decisions, and collaborate with internal teams to deliver high-quality research outputs within deadlines.

Collaborate with stakeholders to gather business requirements, prepare BRDs and FRDs, build dashboards and KPI frameworks, develop reporting solutions, analyze business data, maintain process documentation, and support insurance domain analytics initiatives using modern BI technologies.

Support strategy and finance teams through in-depth financial research and analytical modeling. Build valuation models, perform competitor and industry analysis, support debt raising and IPO readiness initiatives, prepare investor presentations, and provide actionable insights for business decision-making.

Prepare business research reports, white papers, client proposals, and market studies. Conduct primary and secondary research, analyze industries and companies, build forecasting models, mentor analysts, support business development activities, and participate in client interactions and project scoping exercises.