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 advantages, 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

Analyze large and complex datasets to extract actionable insights, applying solid statistical foundations, advanced analytics, and domain aware interpretation
Design, develop, and deploy machine learning and deep learning models across diverse business and healthcare use cases, ensuring rigor in feature engineering, model training, evaluation, and explainability
Build production grade ML solutions using robust, maintainable Python and SQL, with proper versioning, monitoring,



performance governance, and scalable deployment patterns
Apply classical ML techniques (logistic regression, decision trees, clustering, PCA, Bayesian models, time series models) and advanced methods such as survival analysis and complex statistical modeling
Develop deep learning solutions using TensorFlow, PyTorch, Keras, or XGBoost for NLP, speech, image processing, and multimodal workloads; implement CNNs, RNNs, LSTMs/GRUs, and optimization/regularization techniques
Work with Hugging Face Transformers, embeddings, sequence models, and NLP/NLU pipelines to support generative and discriminative tasks
Build and optimize recommender systems using collaborative filtering, sequence aware models (FPMC, FISM, Fossil), and deep recommendation architectures
Explore and integrate graph machine learning techniques and knowledge graphs to model complex entity relationships, reasoning, and advanced analyti

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