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Live In Actuarial Data Scientist Jobs (NOW HIRING)

The Hartford

Director of Data Science

Charlotte, NC · On-site +1

$153K - $229K/yr

D. in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Data Science ... Candidates who live near one of our office locations will have the expectation of working in an ...

The Hartford

Director of Data Science

Hartford, CT · On-site +1

$153K - $229K/yr

D. in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Data Science ... Candidates who live near one of our office locations will have the expectation of working in an ...

The Hartford

Director of Data Science

Chicago, IL · On-site +1

$153K - $229K/yr

D. in Statistics, Applied Mathematics, Quantitative Economics, Actuarial Science, Data Science ... Candidates who live near one of our office locations will have the expectation of working in an ...

Berkley

Actuary/Data Scientist

Greenwich, CT · On-site

Provide support and guidance to others who are at earlier stages in their data science or AI journey. Qualifications Qualifications: 4-7 years of relevant actuarial, technical, or research experience.

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Live In Actuarial Data Scientist information

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How much do live in actuarial data scientist jobs pay per year?

As of Jul 13, 2026, the average yearly pay for live in actuarial data scientist in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

What is the difference between Live In Actuarial Data Scientist vs Remote Actuarial Data Scientist?

AspectLive In Actuarial Data ScientistRemote Actuarial Data Scientist
Work EnvironmentOn-site, living at the employer's locationRemote, working from any location
CredentialsActuarial certifications, data science skillsActuarial certifications, data science skills
Industry UsageInsurance, finance companies with on-site rolesInsurance, finance companies with remote roles
Search IntentJobs requiring on-site presenceJobs offering remote work options

The main difference between a Live In Actuarial Data Scientist and a Remote Actuarial Data Scientist lies in the work environment. Live In roles require living at the employer's location, often in specialized facilities, while remote roles allow working from anywhere. Both roles typically require similar credentials and are used across insurance and finance industries. Your choice depends on your preference for on-site versus remote work.

What cities are hiring for Live In Actuarial Data Scientist jobs? Cities with the most Live In Actuarial Data Scientist job openings:
What are the most commonly searched types of Actuarial Data Scientist jobs? The most popular types of Actuarial Data Scientist jobs are:
What states have the most Live In Actuarial Data Scientist jobs? States with the most job openings for Live In Actuarial Data Scientist jobs include:
Live In Actuarial Data Scientist jobs near you
Lead Actuarial Data Scientist

Lead Actuarial Data Scientist

Next Insurance

Boston, MA • On-site

Other

Posted yesterday

Job description

Location: Waltham, MA or Palo Alto, CA (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. 
Please note, we do not ask for sensitive information via chat, text, or social media, and any email communications will come from the domain @next-insurance.com or @nextinsurance.com. Additionally, Next Insurance will never ask for payment, fees, or purchases to be made by a job applicant. All applicants are encouraged to apply directly to our open jobs via the careers page on our website. Interviews are generally conducted via Zoom video conference unless the candidate requests other accommodations. 
If you believe that you have been the target of an interview/offer scam by someone posing as a representative of Next Insurance, please do not provide any personal or financial information. You can find additional information about this type of scam and report any fraudulent employment offers via the Federal Trade Commission's website (https://consumer.ftc.gov/articles/job-scams), or you can contact your local law enforcement agency. 
 

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