Senior Data Scientist

Senior Data Scientist Experience: 8+ Years Location: Gurgaon, India 1. About the Role We are seeking an exceptional Data Scientist to join our dynamic Data Science team at BAXTER India. This strategic role will be instrumental in transforming our business functions through Advanced Analytics, Machine Learning, Agentic AI and data-driven insights. As a key member of Data Science team, you will leverage cutting-edge data science techniques to optimize financial forecasting, enhance budget planning accuracy, and drive strategic decision-making across the organization. Your work will directly contribute to BAXTER's various transformation programs and operational excellence in the healthcare sector. 2. Key Responsibilities Financial Analytics Forecasting Design, develop, and deploy advanced machine learning models to forecast key business KPIs including expense allocation and cash flow management. Build automated business process optimization model and reporting systems using AI. Design variance analysis frameworks to identify key drivers of financial performance. Conduct scenario analysis and sensitivity modelling for strategic initiatives. Present findings and recommendations to senior leadership and stakeholders. Establish data quality standards and governance frameworks for financial analytics. Drive innovation by evaluating and implementing emerging AI/data science technologies. 3. Qualifications a) Experience Minimum 8+ years of progressive experience in AI/Data Science. At least 5+ years of hands-on experience in building AI /ML models for Financial domain. Proven track record of design and delivering production-grade AI/ML projects in enterprise environments for finance. Experience working with large-scale financial transactional datasets and ERP systems (SAP, Oracle, Workday etc). 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). b) Core Technical Skills 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 Implementation of Agentic AI Solution experience Data Visualization: Power BI, Tableau, matplotlib, seaborn, plotly Cloud platforms :AWS/Azure/GCP/OCI experience c) Domain Experience Strong understanding of financial domain and understanding of optimization methods for various business processes: forecasting, variance analysis, financial modelling. Knowledge of financial statements (PL, 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. Experience in various business process optimization through AI Ability to explain complex ML model outputs to cross functional teams and stakeholders without black box ambiguity. d) Education Bachelor's degree in Computer Science, Information Technology, or related technical field (required). 4. Nice to Have Experience with healthcare industry-specific challenges with FPA domain Knowledge. Experience with financial systems (SAP, Oracle, workday, or similar). Hands-on expertise in building autonomous AI agents and implementing the Model Context Protocol (MCP) for seamless data-tool integration. Experience in agile/scrum methodologies and project management. Strong business acumen with ability to translate core technical concepts for non-technical stakeholders. Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.