Lead Actuarial Data Scientist
ERGO NEXT Group INTERNAL
| Company | ERGO NEXT Group INTERNAL |
| Category | Data & Analytics |
| Location | US |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Lead |
| Salary | Not stated by the employer |
| Posted | 11 Jun 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
Location: Waltham, MA (hybrid)
ERGO NEXT’s mission is to help entrepreneurs thrive. We’re doing that by building the only technology-led, full-stack provider of small business insurance in the industry, taking on the entire value chain and transforming the customer experience.
Simply put, wherever you find small businesses, you’ll find ERGO NEXT.
Since 2016, we’ve helped hundreds of thousands of small business customers across the United States get fast, customized and affordable coverage. We’re backed by industry leaders in insurance and tech, and we still have room to grow — that’s where you come in.
ERGO NEXT is looking for an actuarial data scientist to oversee all aspects of technical actuarial modeling, including technical pricing models, actuarial systems and infrastructure. This role will be responsible for oversight of a team of actuarial data scientists supporting ERGO NEXT from the ERGO Global Pricing Hub, as well as provide oversight to actuarial aspects of models built by ERGO NEXT actuaries and data scientists. This is a high visibility and high impact role that will transform how ERGO NEXT delivers pricing and technical actuarial products that meet or exceed Global ERGO Technical Excellence standards.
What you’ll do:
Strategic Leadership
Develop a strategic roadmap and project plans for ERGO NEXT’s engagement with the ERGO Pricing Hub
Establish and manage projects to timelines, ensure projects deliver high quality output
Establish ERGO NEXT as a leader in technical excellence in pricing, both within ERGO NEXT and in the global ERGO community
Actuarial Excellence
Develop cutting edge technical frameworks for actuarial modeling that leverage the latest AI and ML technological capabilities and actuarial research
Establish standards for actuarial model review and validation and deploy these standards across all actuarial technical modeling work
Collaborate with legal and compliance teams to ensure actuarial modeling meets US actuarial professional and legal standards.
Collaboration, Influence & People Management
Work regularly with executive staff on critical business issues, providing insights and solutions that support strategic priorities
Ability to translate complex data into compelling executive-level presentations
Communicate and influence decision-making across multiple functional areas on results of studies and analytics
Ability to delegate and direct individuals supporting individual projects and hold a high standard of quality in the work produced by the individuals
What We Need:
FCAS/ACAS mandatory
8+ years of experience in a variety of actuarial domains, especially pricing
Familiarity with small commercial P&C insurance products
Comfortable using AI platforms to accelerate delivery and augment work products
Experience applying machine learning techniques to actuarial pricing
Strong communication skills and ability to influence
Comfortable working across time zones and countries
Project management experience, people management experience a plus
Ability to manage and lead in a fast paced environment
Desired Technical Skills:
Experience coding with SQL/R/Python
Machine Learning Algorithms and Feature Engineering
Data visualization in Tableau, PowerBi, or similar
Experience in actuarial software platforms such as Akur8 or Radar
Forward thinking approach to leveraging AI platforms (such as Claude, Gemini, or ChatGPT) to drive operational efficiencies
Don’t meet every single requirement? Studies have shown that some underrepresented people are less likely to apply to jobs unless they meet every single qualification. At ERGO NEXT, we are dedicated to building a diverse, inclusive and respectful workplace, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, w