Data Scientist
Role details
Job location
Tech stack
Job description
We are the UHC Payment Integrity AI/ML Engineering Team, responsible for designing and deploying advanced Machine Learning and Generative AI solutions that prevent Fraud, Waste, and Abuse (FWA) across the healthcare claims ecosystem. Our work spans pre-payment prediction, post-payment anomaly detection, intelligent automation, and next-generation LLM-based decisioning.
The team is a blend of AI/ML engineers, data scientists, data engineers, and GenAI specialists who collaborate to build and scale end-to-end ML systems. We align closely with the organization's mission of improving affordability, operational efficiency, and trust in healthcare data
You will enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges., * Design, train, finetune, and deploy Large Language Models (LLMs) and Generative AI components for claims automation, anomaly detection, and investigative workflows
- Build and operationalize ML pipelines using Python, PySpark, and cloud-native architectures (Azure/AWS/GCP)
- Develop traditional machine learning models (classification, anomaly detection, NLP pipelines) for high-volume healthcare datasets
- Implement RAG (Retrieval-Augmented Generation) systems, embedding models, and vector database integrations
- Develop automated data processing, feature engineering, and model training pipelines using Spark, MLflow, Databricks, and big-data ecosystems
- Partner with product, engineering, and clinical domain teams to translate complex business challenges into scalable ML and GenAI solutions
- Optimize and monitor ML models in production, ensuring accuracy, latency, compliance, and responsible-AI best practices
- Present AI/ML solution designs, model insights, and GenAI architecture recommendations to technical and non-technical stakeholders
- Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI
You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Requirements
Do you have experience in Model training?, Do you have a Bachelor's degree?, * Bachelor's degree in CS or IT related field
- 5+ years of hands-on experience in AI/ML engineering, deep learning, or applied machine learning
- 3+ years of experience in Python, PySpark, ML frameworks (TensorFlow, PyTorch), and distributed training
- 3+ years of experience with big-data systems (like Hadoop, Spark, Hive) and cloud platforms (like Azure, AWS, GCP)
- 2+ years of experience with LLMs, including:
- Finetuning (LoRA, QLoRA, PEFT, SFT, or RLHF)
- Prompt engineering & system design
- RAG pipelines & vector search, * Prior experience with US healthcare datasets (claims, clinical, EMR/EHR, provider networks, payer ops)
- Experience deploying ML/LLM workloads using Databricks, MLflow, Kubernetes, or serverless inference
- Familiarity with modern GenAI tooling (LangChain, LlamaIndex, HuggingFace, OpenAI/Anthropic/Azure-OpenAI APIs)
- Knowledge of deep learning architectures (Transformers, sequence models, contrastive learning)
- Experience optimizing model inference using quantization, distillation, or distributed GPU compute
- Demonstrated success in AI product delivery, cross-functional collaboration, and influencing technical strategy
- Strong grounding in ML fundamentals (feature engineering, model evaluation, A/B testing, MLOps best practices)
- All Telecommuters will be required to adhere to UnitedHealth Group's Telecommuter Policy.
Benefits & conditions
(part of UnitedHealth Group) 3.33.3 out of 5 stars Minnetonka, MN Remote $60,200 - $107,400 a year - Full-time, Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $60,200 to $107,400 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.