Lead Actuarial Data Scientist

Job Description

Job 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

Note on Fraudulent Recruiting

We have become aware that there may be fraudulent recruiting attempts being made by people posing as representatives of ERGO NEXT Insurance. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers.

The range displayed on this job posting reflects the minimum and maximum target for new hire base salaries for the position in the location(s) listed. Within the range, individual pay is determined by additional factors, including, without limitation, job-related skills, experience, and relevant education or training. ERGO NEXT employees are also potentially eligible for our annual performance-based incentive program, in addition to our benefits package, consisting of our partially subsidized medical plan, fully subsidized vision/dental options, life insurance, disability insurance, 401(k), flexible paid time off, parental leave and more.

US annual base salary range for this full-time position:

$161,000—$265,000 USD

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, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

One of our core values is 'Play as a Team'; this means making sure everyone has an equal chance to participate and make a difference. We win by playing together. ERGO Next Insurance is an equal opportunity employer and prioritizes building a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants of any type and do not discriminate based on race, color, religion, national origin, gender, age, sexual orientation, physical or mental disability, genetic information or characteristic, gender identity and expression, veteran status, or other non-job-related characteristics or other prohibited grounds specified in applicable federal, state, and local laws. ERGO Next's policy is to comply with all applicable laws related to nondiscrimination and equal opportunity and will not tolerate discrimination or harassment based on any of these characteristics. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.