Senior Data Scientist

Job Title: Senior Data Scientist - Gen AI

Client - One of the leading MNC in healthcare domain.

Job Location: Bangalore, India

Job Summary

We are seeking a Senior Data Scientist - Gen AI with hands-on experience in building and deploying data-driven solutions. You will work closely with cross-functional teams to extract insights, develop machine learning models, and deploy scalable analytics solutions across various cloud platforms. As a Senior Data Scientist - Gen AI, you ll play a key role in harnessing data to drive better outcomes, improve performance, and enhance the lives of those served by our clients.

Key Responsibilities:

The ability to design and develop ML, Gen AI, NLP, LLM Models for AI data pipelines. Model components will include data ingestion, preprocessing, Retrieval Augmented Generation (RAG), NLP/LLM model development, fine-tuning and prompt engineering.

Design and develop of predictive and generative AI models for clinical use cases like summarizing clinical notes, chatbot assistants, emergency admissions risk reduction, etc.

Analyze large, complex healthcare datasets including electronic health records (EHR) and claims data Develop statistical models for patient risk stratification, treatment optimization, population health management, and revenue cycle optimization

Build models for clinical decision support, patient outcome prediction, care quality improvement, and revenue cycle optimization

Create and maintain automated data pipelines for real-time analytics and reporting Work with healthcare data standards (HL7 FHIR, ICD-10, CPT, SNOMED CT) and ensure regulatory compliance Work with product/business, engineering to data driven innovations/features.

Develop and deploy models in cloud environments while creating visualizations for stakeholders Present findings and recommendations to cross-functional teams including clinicians, product managers, and executives

Qualifications required:

Bachelors degree in data science, Statistics, Computer Science, Mathematics, or related quantitative f ield 8 -10 years of working engineering/product development experience of AIML models. Knowledge of ML Ops practices deploying and operationalizing AI models.

Familiarity with cloud platforms (Azure, AWS, GCP) and containerized deployments (Docker, Kubernetes). Demonstrated experience working with large datasets and statistical modeling

Proficiency in Python or R for data analysis and machine learning Experience with SQL and database management systems

Knowledge of machine learning frameworks such as scikit-learn, TensorFlow, PyTorch Familiarity with data visualization tools such as Tableau, Power BI, matplotlib, ggplot2 JD Template for Senior Data Scientist - Gen AI

Exposure to validation, deployment and tuning of models along with production/customer/user adoption of models. Strong foundation in statistics, hypothesis testing, and experimental design.

Experience with supervised and unsupervised learning techniques. Knowledge of data preprocessing, feature engineering, and model validation. Understanding of A/B testing and causal inference methods.

Experience with cloud platforms and big data technologies such as Spark, Hadoop