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 Optum s Applied AI team is seeking a detail-oriented innovative and proactive Senior Data Scientist with 3-5 years of hands-on industry experience in machine learning ML and natural language processing NLP In this role you will help design develop and maintain document intelligence platforms that power multiple product streams across the organization As a Senior Data Scientist you will collaborate closely with data engineers domain experts and fellow data scientists to unlock large-scale data capabilities You will work with both structured and unstructured clinical datasets applying advanced algorithms and state-of-the-art modeling techniques to build optimize and deploy scalable ML NLP solutions in production environments Your contributions will directly support the creation of high-impact AI solutions that improve healthcare operations and outcomes enabling smarter insights from complex clinical documentation This role offers the opportunity to work at the intersection of healthcare and cutting-edge AI shaping the future of intelligent document processing at scale Primary Responsibilities Design develop and deploy advanced AI solutions for healthcare including multi-modal document understanding modules large language models LLMs for clinical reasoning vision-language models VLMs and large-scale computer vision NLP systems e g handwriting recognition forms processing named entity recognition negation detection terminology disambiguation Own the end-to-end machine learning lifecycle - from problem identification and scoping data exploration annotation pipeline creation and model prototyping to training deployment monitoring and iterative improvement Implement intelligent information extraction and retrieval systems including semantic search entity linking and human-in-the-loop pipelines with real-time feedback mechanisms Build and maintain scalable ML infrastructure capable of millions of daily predictions leveraging asynchronous inference streaming data pipelines GPU auto-scaling and modular microservice deployment stacks with CI CD telemetry and monitoring Collaborate closely with healthcare domain experts to ensure solutions are clinically accurate safe and compliant with industry regulations and partner with software engineers and ML infrastructure teams to integrate models seamlessly into production environments 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 regard to flexibility of work benefits and or work environment 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 Required Qualifications 4 years of professional experience in machine learning applied AI or data science roles with a solid track record of delivering production-grade solutions Hands-on expertise with transformer-based architectures e g BERT GPT Vision-Language Models and experience fine-tuning and optimizing them for domain-specific tasks Experience with the full Python ML stack NumPy Pandas scikit-learn etc for experimentation and data analysis Proficiency in PyTorch Python and core data processing libraries with solid SQL skills for data extraction and manipulation Proven experience in GPU-based deployment of ML models including optimization for inference speed and cost efficiency Solid background in natural language processing NLP - building training and deploying models at scale for tasks such as NER text classification semantic search and document understanding Skilled in model optimization techniques quantization distillation pruning to improve performance in production environments Preferred Qualifications Familiarity with ML deployment pipelines and MLOps practices including CI CD containerization and monitoring Excellent problem-solving skills with the ability to work cross-functionally with engineers domain experts and product teams Familiarity with Annotation Tools Prodigy Label Studio or custom annotation platforms Cloud Exposure Basic familiarity with AWS ecosystem Visualization Tools Power BI Tableau or Plotly for dashboarding and reporting Data Quality Monitoring Experience with tools or techniques for detecting data drift or label inconsistencies Healthcare NLP Domain Knowledge Prior work with clinical documents EMR data or coding workflows 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 chance 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 environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission NJP

📌 Senior Data Scientist (Maharashtra)
🏢 Optum
📍 Maharashtra