Manager Data Scientist

Job description

This is where your work makes a difference. At Baxter, we believe every person—regardless of who they are or where they are from—deserves a chance to live a healthy life. It was our founding belief in 1931 and continues to be our guiding principle. We are redefining healthcare delivery to make a greater impact today, tomorrow, and beyond. Our Baxter colleagues are united by our Mission to Save and Sustain Lives. Together, our community is driven by a culture of courage, trust, and collaboration. Every individual is empowered to take ownership and make a meaningful impact. We strive for efficient and effective operations, and we hold each other accountable for delivering exceptional results. Here, you will find more than just a job—you will find purpose and pride. Manager Data Scientist Job Description Experience : 12+ Years Location : Gurgaon, India Employment Type. : Full-Time 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. • Mentor junior team members and foster a culture of data-driven decision making. • Partner with business leaders to translate complex financial data into actionable insights. 3. Qualifications a) Experience • Minimum 12+ years of progressive experience in AI/Data Science. • At least 8 to 10 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. • Experience in enterprise grade implementation of cutting edge Agentic AI solution. • Taking ownership spans the entire AI delivery lifecycle for project, encompassing the orchestration of multi-agent workflows, Retrieval-Augmented Generation (RAG) architectures, and high-performance LLM integration pipelines. • Taking responsibility for AI tech stack selection, governance, and the mitigation of stochastic drift or model hallucinations. • Proven experience in designing and deploying production-ready solutions powered by Large Language Models (LLMs) at enterprise level. • Also handling stakeholder management- navigate diverse executive expectations, ensuring that technical innovation directly translates into measurable ROI. b) Core Technical Skills • 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. • Implementation of End to End enterprise level 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 (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. • 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 FP&A 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. 5. What We Offer Compensation & Benefits • Competitive salary package commensurate with experience and market standards • Comprehensive health insurance coverage for self and dependents • Clear career progression path with regular performance reviews • Mentorship from senior leaders and exposure to global projects Work Environment • Collaborative and inclusive culture that values innovation and diversity • State-of-the-art workspace in Gurgaon with modern amenities • Flexible work arrangements including hybrid work options – 3 days in office arrangement. Making an Impact • Contribute to BAXTER's mission of saving and sustaining lives worldwide • Work on meaningful projects that directly improve healthcare outcomes • Be part of a Fortune 500 company with global presence and stability BAXTER is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We encourage applications from candidates of all backgrounds. Equal Employment Opportunity Baxter is an equal opportunity employer. Baxter evaluates qualified applicants without regard to race, color, religion, gender, national origin, age, sexual orientation, gender identity or expression, protected veteran status, disability/handicap status or any other legally protected characteristic. Reasonable Accommodations Baxter is committed to working with and providing reasonable accommodations to individuals with disabilities globally. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application or interview process, please click on the link here and let us know the nature of your request along with your contact information. Recruitment Fraud Notice Baxter has discovered incidents of employment scams, where fraudulent parties pose as Baxter employees, recruiters, or other agents, and engage with online job seekers in an attempt to steal personal and/or financial information. To learn how you can protect yourself, review our Recruitment Fraud Notice .