Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities.

Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Primary Responsibilities Design, develop, and deploy advanced ML/AI models for healthcare applications, ensuring rigor across feature engineering, training, evaluation, and explainability

Analyze complex healthcare datasets to deliver actionable insights, applying statistical modeling, time‑series forecasting, survival analysis, and other advanced analytics techniques

Lead the development of production‑grade ML solutions with robust, scalable, and maintainable Python/SQL code, ensuring proper versioning, monitoring, and model performance governance

Collaborate with clinicians, researchers, data engineers, and product/IT teams to translate business and clinical needs into high‑impact, domain‑aware ML solutions

Develop and optimize models using Scikit‑learn, PyTorch, and up-to-date deep learning architectures, including support for pre‑GenAI and GenAI approaches

Integrate and evaluate generative AI and LLM‑based capabilities for tasks such as summarization, medical text generation, synthetic data creation, and assisted clinical reasoning

Build and enhance RAG pipelines using vector databases (FAISS, Pinecone, Chroma) while optimizing retrieval accuracy, grounding, and model responses

Apply knowledge graph techniques to model entity relationships and support reasoning‑based analytics using healthcare ontologies

Ensure models follow healthcare data standards (FHIR, HL7, ICD, CPT, SNOMED, LOINC, NDC) for compliance, safety, and interoperability

Optimize existing models for performance, scalability, and robustness, including drift detection, A/B testing, and continuous monitoring

Lead model governance activities including documentation, model cards, quality reviews,



validation protocols, and Responsible AI best practices

Communicate insights and results through clear reports, visualizations, presentations, and technical narratives tailored to technical and clinical stakeholders

Mentor data scientists, provide technical direction on experimentation, solution design, and coding best practices, and drive a culture of scientific rigor and innovation

Work closely with data engineering teams to ensure high‑quality feature pipelines, clean transformations, and seamless ML integration into production systems

Comply with company policies, employment terms, and organizational directives as required

Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work workplace, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Eligibility To apply to an internal job, employees must meet the following criteria: Minimum 12 months in the current Role/Grade/Level

Not on Active CAP at the time of applying for the IJP

Employees currently at Grade 27 will move to the next grade and Grade 28 (Lateral Movement) can apply for this position

Last Review rating of Meets Expectations or Exceeds Expectation Required Qualifications Graduate degree or equivalent experience

Bachelor's degree in CS, Data Science, Statistics, or related field; Master's/PhD

7+ years in data science/ML/AI, ideally in healthcare

Experience in healthcare AI domains: NLP, computer vision, predictive modeling





Knowledge of generative AI nd LLMs (GPT, BERT, Llama)

Familiarity with big data tools, SQL/NoSQL databases

Understanding of healthcare standards (HL7, FHIR) and cloud platforms (AWS/ Azure/ GCP)

Proficiency in Python, R, Java, or Scala

Proven expertise in ML frameworks (TensorFlow, PyTorch, scikit-learn)

Proven solid statistical analysis and data visualization skills

Proven excellent problem-solving and communication skills

Proven track record of delivering AI/ML projects

Model Development: Proven ability to design, develop, and deploy ML models and AI systems for healthcare challenges

Data Analysis: Proven ability to interpret complex healthcare datasets to generate actionable insights

Collaboration: Proven ability to work with clinicians, researchers, and IT teams to translate business needs into technical solutions

Algorithm Design: Proven ability to implement advanced algorithms for predictive analytics, patient risk stratification, and medical image analysis

Generative AI & LLMs: Proven ability to develop and integrate generative AI models and large language models for tasks like medical text generation and synthetic data creation

Optimization: Proven ability to enhance existing ML models for scalability and performance

Mentorship: Proven ability to guide junior data scientists and engineers

Compliance: Proven ability to ensure data integrity and adhere to healthcare regulations (e.g., HIPAA)

Communication: Proven ability to present findings through reports, presentations, and visualizations At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes.

We are committed to mitigating our impact on the setting and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.

📌 Lead Data Scientist (Bengaluru)
🏢 Optum India
📍 Bengaluru