Senior Actuarial Consultant - AI/ML - Remote

UnitedHealth Group • Eden Prairie, MN

125d • $89,900 - $160,600 • Remote

About The Position

Combine the dynamic fields of Actuarial Science and Data Analytics at a top Fortune 5 healthcare and technology company, and you'll find yourself in an exciting, fast-paced role with endless opportunities for advancement and innovation. Here, you'll be at the forefront of transforming healthcare data into actionable insights that drive better patient outcomes. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. As part of the Optum Advisory - Trend Analytics Consulting team, you'll become part of a leading force in healthcare analytics. Our team boasts a proven track record of supporting health plans nationwide, backed by a diverse staff of actuaries, data engineers, and business/technology consultants. Together, we drive innovation and excellence in the healthcare industry. The consultant in this role will engage with detailed healthcare claims data to build and maintain machine learning models that support actuarial forecasting and assumption setting. They will address business challenges through creative application of AI/ML solutions to develop a deeper level of insights that reflect an understanding of the overall consulting engagement. Additionally, the consultant will create visually appealing, client-ready, and accurate deliverables, ultimately contributing to improved health care outcomes and organizational goals. You'll enjoy the flexibility to work remotely from anywhere within the U.S. as you take on some tough challenges.

Requirements

• Bachelor's degree obtained from an accredited university
• On the Actuarial exam track, having passed a minimum of 4 or more Actuarial exams
• 4+ years of experience in a Healthcare, Finance, or related industry analytics role
• 4+ years of experience acquiring, manipulating, and working with large heterogeneous datasets (claim and non-claim based) and using them to solve business problems
• 2+ years of experience using python, R or SAS to perform statistical analysis
• 2+ years of experience in the design and evaluation of models utilizing various machine learning and statistical algorithms
• Extensive experience in designing and executing complex data programs, including data extraction and analysis using R, Python, SQL, SAS, and/or VBA
• Ability to create efficient and scalable models

Nice To Haves

• Credentialled Actuary (ASA or FSA)
• 4+ years of experience working for a healthcare consulting practice
• 2+ years of experience collaborating with cross functional partners and presenting analytical findings
• 2+ years of experience with Git version control system and knowledge of DevOps and agile development practices
• Willing to relocate to Minnesota

Responsibilities

• Designing and executing detailed data programs and models leveraging technical skills in R, Python, Excel, SAS, and SQL
• Conducting in-depth data extractions and analyses to provide actionable insights and drive decision-making
• Developing high-quality written communications, persuasive presentations, and compelling deliverables tailored to client needs
• Identifying and exploring new areas for AI/ML development in partnership with key stakeholders
• Supporting cross-business analytics (Commercial, Medicare, & Medicaid) in developing consistent and appropriate modeling
• Performing an individual billable role for clients, contributing to the daily delivery of a large-scale and highly complex process
• Mentoring junior team members and training sessions to build internal capabilities
• Collaborating across departments to ensure holistic solutions to business problems

Benefits

• Comprehensive benefits package
• Incentive and recognition programs
• Equity stock purchase
• 401k contribution

What This Job Offers

• Career Level: Mid Level
• Industry: Insurance Carriers and Related Activities
• Education Level: Bachelor's degree