• Minimum 8+ years of progressive experience in AI/Data Science.
• At least 3+ years of hands-on experience in building AI /ML models for Financial Planning & Analysis or Corporate Finance domain.
• Proven track record of design and delivering production-grade AI/ML projects in enterprise environments for finance.
• Experience working with large-scale financial datasets and ERP systems (SAP, Oracle, Workday).
• Demonstrated success in cross-functional collaboration with Finance, IT, and Business teams.
• Hands-on experience in designing and deploying forecasting (Statistical and ML based) applied to financial metrics.
• Proven experience in designing and deploying production-ready solutions powered by Large Language Models (LLMs).
• Programming Languages: Python (NumPy, Pandas, Scikit-learn), SQL (advanced proficiency required).
• Machine Learning: Regression, Classification, Forecasting, Clustering, Ensemble Methods.
• Deep Learning: TensorFlow/PyTorch for NLP and predictive modeling applications.
• Data Visualization: Power BI, Tableau, matplotlib, seaborn, plotly .
• Agentic AI – Implementation of agentic ai workflow.
• Cloud platforms :AWS/Azure/GCP/OCI experience.
• Strong understanding of Finance and FP&A processes: Forecasting, variance analysis, financial modelling.
• Knowledge of financial statements (P&L, Balance Sheet, Cash Flow) and key metrics.
• Experience with healthcare/pharmaceutical industry financial operations (preferred).
• Familiarity with regulatory compliance and data privacy requirements in healthcare industry/ finance.
• Ability to explain complex ML model outputs to cross functional teams and stakeholders without “black box” ambiguity.
• Bachelor’s degree in Computer Science, Information Technology, or related technical field (required).