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Manager Data Scientist

Job in 242221, Gurugram, Uttar Pradesh, India
Listing for: baxter international inc.
Full Time position
Listed on 2026-06-16
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Data Scientist, Data Analyst, Machine Learning/ ML Engineer
Job Description & How to Apply Below
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 (Num Py, Pandas, Scikit-learn), SQL (advanced proficiency required).

• Machine Learning:
Regression, Classification, Forecasting, Clustering, Ensemble Methods.

• Deep Learning:
Tensor Flow/PyTorch for NLP and predictive modeling applications.

• Implementation of End to End enterprise level Agentic AI Solution experience.

• Data Visualization:
Power…
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