Lead Data Scientist

About Providence

Providence, one of the US’s largest not-for-profit healthcare systems, is committed to high quality, compassionate healthcare for all. Driven by the belief that health is a human right and the vision, ‘Health for a better world’, Providence and its 121,000 caregivers strive to provide everyone access to affordable quality care and services.

Providence has a network of 51 hospitals, 1,000+ care clinics, senior services, supportive housing, and other health and educational services in the US.

Providence India is bringing to fruition the transformational shift of the healthcare ecosystem to Health 2.0. The India center will have focused efforts around healthcare technology and innovation, and play a vital role in driving digital transformation of health systems for improved patient outcomes and experiences, caregiver efficiency, and running the business of Providence at scale.

Why Us?

• Best In-class Benefits
• Inclusive Leadership
• Reimagining Healthcare
• Competitive Pay
• Supportive Reporting Relation

What will you be responsible for? We are looking for a Data Scientist to join the DwX (Digital Workplace Experiences) team to build and enhance AI/ML solutions, with a focus on LLM fine-tuning, model evaluation, and AI-driven use cases across HR, Finance, and Enterprise workflows This role requires a strong foundation in machine learning, data engineering basics, and Generative AI concepts, with hands-on experience in developing and improving models for real-world business problems

• Develop, fine-tune, and optimize machine learning and LLM-based models for enterprise use cases (chatbots, automation, insights)

• Work on prompt engineering, fine-tuning techniques, and model evaluation frameworks

• Implement RAG (Retrieval-Augmented Generation) patterns using enterprise data sources

• Experiment with different models (OpenAI, open-source LLMs) to improve performance and accuracy

• Build and deploy supervised/unsupervised ML models and NLP solutions

• Perform data analysis, feature engineering, and model validation

• Apply statistical techniques to identify patterns and generate insights

• Continuously improve models based on feedback and evaluation metric

What would your day look like?

• Work closely with data engineering teams to consume clean, reliable datasets

• Understand basics of data pipelines, data modeling, and cloud platforms (Azure/Snowflake)

• Support integration of AI models into scalable data/AI platforms

• Assist in deploying models into production (batch or API-based)

• Support monitoring, performance tuning, and continuous improvement of models

• Contribute to ML/LLM lifecycle practices (experimentation deployment evaluation)

• Work with product, business, and engineering teams to understand requirements

• Translate business problems into data science solutions

• Present insights and model outcomes in a simple, clear manner

Who are we looking for?

• 6–9 years of experience in Data Science / Machine Learning

• Strong fundamentals in: Machine Learning (Regression, Classification, Clustering), NLP and Deep Learning basics and Statistics and data analysis

• Hands-on experience with: Python, SQL (must have) & ML frameworks (scikit-learn, PyTorch, TensorFlow)

• Exposure to: Generative AI / LLMs (GPT, Llama, etc.) & Basic fine-tuning / prompt engineering / RAG concepts

• Experience working with large datasets and data processing

• Understanding of data engineering basics (ETL, pipelines, data storage)

• Strong problem-solving and analytical skills

• Bachelor's degree in mathematics, statistics, healthcare administration, or related field

• 5+ years of experience in Python, SQL, R, SAS

Providence’s vision to create ‘Health for a Better World’ aids us to provide a fair and equitable workplace for all in our employment, whether temporary, part-time or full time, and to promote individuality and diversity of thought and background, and acknowledge its role in the organization’s success. This makes us committed towards equal employment opportunities, regardless of race, religion or belief, color, ancestry, disability, marital status, gender, sexual orientation, age, nationality, ethnic origin, pregnancy, or related needs, mental or sensory disability, HIV Status, or any other category protected by applicable law. In furtherance to our mission in building a more inclusive and equitable environment, we shall, from time to time, undertake programs to assist, uplift and empower underrepresented groups including but not limited to Women, PWD (Persons with Disabilities), LGTBQ+ (Lesbian, Gay, Transgender, Bisexual or Queer), Veterans and others. We strive to address all forms of discrimination or harassment and provide a safe and confidential process to report any misconduct.

Contact our Integrity hotline also, read our Code of Conduct.