Baxter seeks a Senior Data Scientist to lead end-to-end development and deployment of advanced analytics, machine learning, and AI solutions across enterprise business domains. The role involves translating complex business problems into scalable data science initiatives, building predictive models for financial and operational forecasting, and providing technical leadership to cross-functional teams.

Responsibilities

Lead end-to-end lifecycle of machine learning and AI solutions from concept through production deployment and monitoring

Translate business problems into well-defined analytical hypotheses, designs, metrics, and implementation roadmaps

Design, develop, train, and deploy predictive and forecasting models for sales, revenue, expenses, and cash flow

Own model validation, explainability, governance, and documentation aligned with responsible AI standards

Provide technical leadership through architecture reviews, code reviews, mentoring,



and resolution of complex analytical challenges

Requirements

Bachelor's or Master's degree in computer science, data science, information technology, or related technical field

Minimum 8 years progressive experience in data science, machine learning, or applied AI with enterprise initiative leadership

Advanced proficiency in Python, SQL, PySpark, pandas, NumPy, scikit-learn, and NLP libraries

Hands-on experience with PyTorch or TensorFlow, LLM applications, RAG, prompt engineering, and agentic workflows

Demonstrated expertise designing, developing, and deploying production-grade machine learning and generative AI solutions

Solid experience with AWS machine learning services including SageMaker and Bedrock

Applied data science experience across finance, sales, supply chain, and healthcare domains

📌 Senior Data Scientist (AI/ML) (Bengaluru)
🏢 BAXTER
📍 Bengaluru