Advisory Services Consultant – AI/ML Engineer

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.

Advisory Board helps health care leaders across the health care ecosystem work smarter and faster through provocative insights, actionable strategies, and practical tools to support execution. With more than 40 years of experience, a team of 200+ experts, and a network of 4,500+ member organizations, we spend more time researching the now and predicting the next than anyone else in the health care industry. For more information, visit www.advisory.com.  

We are seeking a dynamic data scientist to work with the Data and Analytics Group on innovative projects involving AI, ML and LLM. This individual will possess solid analytical and critical thinking skills and a passion for innovation. Our ideal candidate will collaborate with team members developing novel AI/ML solutions to business challenges. The team utilizes multiple technologies including Spark, Python and AWS but we encourage a range of technologies that can be utilized to help deliver projects in a timely manner. If you are driven by the pursuit of creating innovative solutions for the healthcare industry and eager to make an impact, we invite you to explore this exciting opportunity with us. Join our team and be at the forefront of shaping the future of health care, where your unique skills will not only be recognized but celebrated.

Primary Responsibilities:

• Manage and lead the data science & engineering team, responsible in creating innovative solutions and Responsible for developing/delivering end-to-end Machine Learning projects/solutions that have a high degree of value, ambiguity, scale and complexity
• Design, develop, and implement AI/ML, Gen AI and Agentic solutions using cloud services (Preferably AWS)
• Manage and guide the development of cloud-native ETLs and AI/ML pipelines using modern technologies on AWS Cloud and any other data platforms like Databricks, Snowflake etc.
• Applying knowledge of data modelling, statistics, machine learning, programming, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to more actionable insights
• Working with analytics and statistical software and products, such as SQL, R, Python, Hadoop and others to perform analysis and interpret data
• Ability to coach/guide follow data scientists and accountable for delivering advanced analytics products
• Leading efforts for applied use of machine learning to drive process optimization and transformation
• Communicate the performance of the machine learning algorithms across an interdisciplinary team
• Implement and oversee DevOps practices and CI/CD pipelines using GitActions
• Ensure data security and compliance with industry standards
• Provide technical leadership and mentorship to the engineering team
• 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:

• Master of Science in computer science, Engineering, Statistics, or related field preferred
• 8+ years of experience in a Data Science and Engineering role, with at least 3 years in a leadership or technical delivery role
• 8 + years of combined experience in data science, data enrichment/ETL, and advanced modelling
• 8+ years of experience creating models/solutions using Python, Spark-SQL, Scala or other similar coding language
• 8+ years of experience manipulating large data sets through statistical software or other methods
• 5+ years of experience managing complex data projects and programs
• 5+ years of experience creating healthcare analytics
• Hands on experience in AWS Cloud services like Glue, Sage maker, bedrock (preferred) , Databricks, Mlflow and model deployment frameworks or similar services on Microsoft Azure
• Hands-on experience in implementing and training machine learning algorithms and statistical analyses, including for example non-parametric tests,
• Experience with Natural Language Processing, LLM prompt engineering
• Experience with Agile methodologies and project management tools
• Highly proficient with hands-on experience in SQL, Python coding, Spark SQL and any other programming language along with corresponding language packages
• Proven excellent communication and presentation skills
• Ability to develop and deploy data pipelines, machine learning models, or applications on cloud platforms
• Proficiency in DevOps and CI/CD practices using GitActions
• Solid communication and collaboration skills. Solid analytical skills and attention to detail.

Preferred Qualifications:

• Exposure to LLM offerings from various vendors
• Experience with Recommender Systems
• Understanding of US healthcare Domain

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 environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes – an enterprise priority reflected in our mission.