This is whereyour work makes a difference.

At Baxter we believe every personregardless of who they are or where they are fromdeserves 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 jobyou will find purpose and pride.

Your role at Baxter

We are seeking an exceptional Senior Data Scientist to join Baxters Enterprise Data Analytics team. This strategic role will help transform business functions through advanced analytics machine learning Generative AI Agentic AI and data-driven decision-making.

As a senior member of the Enterprise Data Science team you will lead the end-to-end design development deployment and adoption of scalable data science and AI solutions across multiple business domains. You will partner with cross-functional stakeholders to frame high-value opportunities translate business needs into analytical solutions and deliver measurable outcomes while promoting responsible AI engineering excellence and reusable capabilities.

What youll be doing

- Lead the end-to-end lifecycle of advanced analytics machine learning Generative AI and Agentic AI solutionsfrom opportunity identification and experimentation through production deployment monitoring and continuous improvement.
- Translate ambiguous business problems into well-defined data science hypotheses solution designs success metrics and scalable implementation roadmaps.
- Develop and maintain advanced predictive /forecasting models for sales revenue expense management and cash-flow forecasting.
- Design architect train and deploy advanced machine-learning frameworks and traditional time-series models to improve forecast accuracy for sales revenue operating expenses and cash flow.




- Own model validation explainability reliability documentation monitoring and governance in line with responsible AI and regulatory expectations.
- Provide technical leadership through architecture reviews code reviews mentoring standards definition and hands-on resolution of complex analytical challenges.
- Communicate analytical findings business implications risks and recommendations clearly to senior leaders and non-technical stakeholders.
- Foster a mindset of active learning and innovation by exploring emerging AI technologies and adopting solutions that deliver business value.

What youll bring

Experience

- Bachelors or Masters degree in computer science Data Science Information Technology or a related technical discipline.
- Minimum 8 years of progressive experience in data science machine learning or applied AI including experience leading complex enterprise initiatives.
- Robust hands-on record of designing developing and deploying production-grade machine learning Generative AI or Agentic AI solutions.
- Experience working with large complex and distributed datasets in enterprise environments.

Core Technical Skills

- Programming and distributed computing: advanced proficiency in Python SQL and PySpark with strong expertise in relevant libraries such as pandas NumPy scikit-learn and NLP libraries.
- Machine learning and statistics: regression classification clustering forecasting time-series analysis experimentation optimization ensemble methods and model evaluation.
- Deep learning and Generative AI: hands-on experience with PyTorch or TensorFlow LLM application patterns retrieval-augmented generation prompt engineering model fine-tuning evaluation guardrails and agentic workflows.
- Hands-on experience building autonomous AI agents and implementing the Model Context Protocol (MCP) or comparable tool-integration patterns.
- Cloud and AI platforms: strong hands-on experience with AWS machine-learning services including Amazon SageMaker and Amazon Bedrock.
- ML engineering and operationalization:



experience packaging deploying monitoring and maintaining production models and AI services using APIs containers model registries automated testing observability and retraining workflows.

Domain Experience

- Experience applying data science and AI across Finance FinTech Sales Supply Chain and Healthcare; ability to transfer methods and insights across domains is essential.
- Ability to explain complex machine-learning outputs financial drivers and business implications to cross-functional teams and stakeholders without black box ambiguity.

Good to Have

- Experience in healthcare commercial supply chain or financial analytics environments.
- Good understanding of statistical forecasting methodologies time-series analysis and error metric evaluations.
- Experience working in Agile delivery models and contributing to product-oriented data science teams.
- Strong business acumen and the ability to translate technical concepts into clear decisions trade-offs and outcomes for non-technical stakeholders.
- Certifications: An industry-recognized professional certification in data science or AI or completion of a top-tier data science executive program is a strong advantage.

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.

Required Experience:

Senior IC

📌 Sr Data Scientist (Bengaluru)
🏢 BAXTER
📍 Bengaluru