Senior Actuarial Scientist

Spring Health is a global mental health company on a mission to eliminate every barrier to mental health. We're building a world where getting support is simple, personal, and built around the person, so care can continue through every job, move, health plan, and life stage.

Our AI-native platform helps us deliver personalized support across self-guided tools, coaching, therapy, medication management, and specialty care. With outcomes independently validated by JAMA Network Open and the Validation Institute, Spring Health reaches more than 170 million people worldwide through leading employers, health plans, and partners.

As an AI-native company, we believe technology should expand the reach, quality, and humanity of care. Every Spring Health team member is expected to use AI tools thoughtfully, apply human judgment to AI outputs, and keep building AI fluency in ways that support their role and our mission.

Spring Health is seeking a Senior Actuarial Scientist to join our Customer Value team. Reporting to the Associate Director of Actuarial Analytics, you will own the development of ROI models that quantify cost savings and downstream impact for our employer and payer populations.

Please note that this is a hybrid role based in New York City, with an expectation to be in the office 2–3 days per week at our 60 Madison Avenue location. Candidates must be based in the NYC metro area or able to relocate independently within 90 days of their start date. Occasional travel will be required for team on-sites. 

• →Build and maintain actuarial ROI models to quantify cost savings, utilization changes, and downstream impact across employer and payer populations
• →Present ROI findings directly to prospects and clients, distilling complex technical concepts into compelling, executive-ready storytelling
• →Develop strong partnerships with revenue, product, finance, and data science teams to align on core assumptions
• →Support emerging product evaluations by refining methodologies and validating financial assumptions
• →Contribute actuarial expertise to product prototyping and development to help shape scalable financial frameworks
• →Build custom savings and cost models using Excel and other spreadsheet applications
• →Query databases using SQL to extract and analyze data to inform model assumptions
• →Communicate the impact of custom configurations on price and margin to internal stakeholders
• →Leverage AI tools to enhance the speed and quality of results delivered to our customers
• →Collaborate cross-functionally to ensure actuarial rigor is applied to all external-facing financial metrics

• Develop a deep understanding of how Spring Health delivers value to customers, specifically through health plan integration
• Clearly communicate analytical concepts and financial results to both technical and non-technical audiences, including customers and internal leadership
• Successfully partner with cross-functional teams to launch ROI measurement frameworks for new products
• Stay current on ROI methodologies and macroeconomic trends impacting medical insurance to ensure our models remain industry-leading

• Associate or Fellow of the Society of Actuaries (ASA or FSA) designation
• 5+ years of experience in financial or actuarial analysis
• Hands-on experience working with medical claims data, including ICD-10 and CPT codes
• Advanced proficiency in Excel and experience writing SQL queries to retrieve data
• Ability to work independently and align priorities with cross-functional stakeholders
• A focus on progress over perfection, with the ability to remain poised in a fast-paced environment
• Experience working on small, agile teams or within a startup environment (preferred)
• Experience in external-facing roles or client presentations (preferred)
• Experience in vendor evaluation or benefits consulting (preferred)
• Prior exposure to statistical inference methods or experience working with R (preferred)

The target base salary range for this position is $159,000 - $196,480, and is part of a competitive total rewards package including equity and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay.