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Intern Data Science Insurance Jobs in Miami, FL (NOW HIRING)

Liberty Mutual

Director, Data Science

Miami, FL · On-site +1

$156K - $281K/yr

P&C insurance domain expertise includes deep knowledge of exposure, premium and loss data ... Manage and develop a team of data science and advanced analytics staff, driving accurate risk ...

New

Liberty Mutual

Director, Data Science

Miami, FL · On-site +1

P&C insurance domain expertise includes deep knowledge of exposure, premium and loss data ... Manage and develop a team of data science and advanced analytics staff, driving accurate risk ...

Liberty Mutual

Director, Data Science

Miami, FL · On-site +1

$156K - $281K/yr

P&C insurance domain expertise includes deep knowledge of exposure, premium and loss data ... Manage and develop a team of data science and advanced analytics staff, driving accurate risk ...

New

Crowe LLP

Machine Learning Intern

Fort Lauderdale, FL · On-site

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... To that end, there are three major components with which an intern should expect to engage.

Crowe LLP

Machine Learning Intern

Miami, FL · On-site

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... To that end, there are three major components with which an intern should expect to engage.

Crowe LLP

Machine Learning Intern

Fort Lauderdale, FL · On-site

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... To that end, there are three major components with which an intern should expect to engage.

Crowe LLP

Machine Learning Intern

Miami, FL · On-site

$27 - $42/hr

Role Summary The data science (DS) internship at Crowe follows the firmwide calendar, approximately ... To that end, there are three major components with which an intern should expect to engage.

Dlapiper

Data Scientist

Miami, FL · On-site +1

Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... DLA Piper offers a comprehensive benefits package, including medical, dental, and vision insurance ...

New

Munich Re

Data Scientist

Fort Lauderdale, FL · On-site +1

... science/predictive analytics experience in (re)insurance or 4 or more years predictive modeling experience in another industry. * Sr. Data Scientist: 4 or more years of data science/predictive ...

subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

subway

Data Scientist

Miami, FL

$102K - $128K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

subway

Data Scientist

Miami, FL

$102K - $128K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

subway

Data Scientist

Miami, FL · On-site

$102K - $128K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

subway

Data Scientist

Miami, FL

$102K - $128K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

subway

Data Scientist

Miami, FL

$102K - $128K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

subway

Data Scientist

Miami, FL

$102K - $128K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

subway

Data Scientist

Miami, FL

$102K - $128K/yr

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

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Intern Data Science Insurance information

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How much do intern data science insurance jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for intern data science insurance in Miami, FL is $21.52, according to ZipRecruiter salary data. Most workers in this role earn between $16.54 and $23.46 per hour, depending on experience, location, and employer.

What does an intern data science insurance do?

An Intern Data Science Insurance assists data scientists and analysts in the insurance industry by collecting, cleaning, and analyzing data to help solve business problems. Their tasks often include working with large datasets, building predictive models, and creating visualizations to support risk assessment, fraud detection, and pricing strategies. They also collaborate with other departments to understand insurance processes and contribute to the development of data-driven solutions. This role offers hands-on experience with industry tools and methodologies, preparing interns for a career in data science within the insurance sector.

What types of projects can an intern data science expect to work on within the insurance industry?

As a Data Science Intern in the insurance sector, you can expect to work on projects such as analyzing customer data to identify risk factors, developing predictive models for claims, or assisting in the automation of underwriting processes. These projects often involve collaboration with actuarial, underwriting, and IT teams, providing interns with exposure to different facets of the business. You'll likely use tools like Python, R, and SQL while working with real datasets, and your contributions may directly impact decision-making and operational efficiency. This hands-on experience is valuable for understanding the practical applications of data science in a highly regulated and data-driven industry.

What are the key skills and qualifications needed to thrive as an intern data science insurance, and why are they important?

To thrive as an Intern Data Science in Insurance, you need foundational knowledge in statistics, data analysis, and programming (often with Python or R), typically supported by coursework in data science or related fields. Familiarity with data visualization tools (such as Tableau or Power BI), SQL databases, and machine learning libraries is often expected. Strong analytical thinking, attention to detail, and effective communication help you interpret data insights and collaborate with cross-functional teams. These skills are crucial for extracting actionable insights from complex insurance data and supporting data-driven decision-making within the industry.

What are popular job titles related to Intern Data Science Insurance jobs in Miami, FL?

For Intern Data Science Insurance jobs in Miami, FL, the most frequently searched job titles are:

What job categories do people searching Intern Data Science Insurance jobs in Miami, FL look for?

The top searched job categories for Intern Data Science Insurance jobs in Miami, FL are:

What cities near Miami, FL are hiring for Intern Data Science Insurance jobs?

Cities near Miami, FL with the most Intern Data Science Insurance job openings:

Intern Data Science Insurance jobs near you
Infographic showing various Intern Data Science Insurance job openings in Miami, FL as of July 2026, with employment types broken down into 1% As Needed, 72% Full Time, 22% Part Time, and 5% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $44,770 per year, or $21.5 per hour.

Director, Data Science

Liberty Mutual

Miami, FL • On-site, Remote

$156K - $281K/yr

Full-time

Posted yesterday

New

Liberty Mutual rating

8.8

Company rating: 8.8 out of 10

Based on 161 frontline employees who took The Breakroom Quiz

46th of 310 rated insurance

Job description

Duties:  
Manage and develop a team of data science and advanced analytics staff, driving accurate risk classification in pricing across three lines of business. 
Apply broad knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions. 
Drive innovation in the application and development of tools and practices. 
Mine large data sets using sophisticated analytical techniques to generate insights and inform business decisions. 
Identify and tests hypotheses, ensuring statistical significance, and build highly complex, technical and creative predictive analytics for business applications. 
Translate quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data. 
Enable the business to make clear tradeoffs between and among choices, with a reasonable view into likely outcomes. 
Guide aspects of project design as a technical consultant for the team. 
Customizes analytic solutions to specific stakeholder needs. 
Regularly engage with the data science community and leads cross functional working groups. 
 
Position requires domestic (U.S.) travel up to 5% 
Telecommuting permitted up to 100%  
Requirements:  
Employer will accept a Bachelor’s degree (or foreign equivalent) in Actuarial Science, Statistics or related field and 10 years of experience in the job offered or in a Director II, Data Science-related occupation.
Position requires demonstrable experience with the following: 
P&C insurance domain expertise includes deep knowledge of exposure, premium and loss data, classification plans, state- and plan-level rate setting, and actuarial principles including credibility, loss development, trend analysis, experience rating and ratemaking.
Develop, validate and deploy pricing models including GLMs and gradient-boosted models and diagnose model performance across lines of business and products
Own the full modeling lifecycle including data procurement, feature engineering, model selection, cross-validation, back-testing, calibration, monitoring, and model retraining.
Technical proficiency with modeling tools and languages, requiring experience in at least two tools, including Python or Emblem, and additional proficiency in at least one of SAS or R. 
Experience with large-scale data wrangling and evaluation and selection of appropriate internal toolsets. 
Measure and improve pricing effectiveness including quantifying current pricing, identifying gaps, recommending pricing and model changes, define KPIs tied to underwriting profitability, and perform cost-benefit analyses to inform business decisions. 
Lead and develop team members including hiring, mentorship, individualized development planning, performance management, code and research review, and guidance on model design and tool selection. 
Project and stakeholder management including scope and prioritize work, estimate effort, assign resources, balance planned versus ad-hoc requests, evaluate new requests, negotiate timelines and replan deliverables. 
Cross-functional partnership and influence including work with product-line, state management, underwriting, IT and compliance and build business cases, advocate the pricing roadmap and support multi-state implementation and adoption. 
Governance and quality controls including maintaining audit-ready documentation, reproducible code, validation artifacts and versioning; ensure regulatory, privacy, fairness and transparency compliance; and promote testing, peer review, and continuous improvement.
Experience may be gained during graduate program. Will accept any suitable combination of education, training, and/or experience. Multiple Positions Available. 
 
 
REFER TO: To apply, please visit https://jobs.libertymutualgroup.com/, select “Search Jobs,” enter job requisition #2026-XXXXX in the “Job ID or Keywords” field, and submit resume. Alternatively, you may apply by submitting a resume via e-mail to RecruitLM@LibertyMutual.com. Reference requisition number in subject of e-mail.  

Duties:  
Manage and develop a team of data science and advanced analytics staff, driving accurate risk classification in pricing across three lines of business. 
Apply broad knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions. 
Drive innovation in the application and development of tools and practices. 
Mine large data sets using sophisticated analytical techniques to generate insights and inform business decisions. 
Identify and tests hypotheses, ensuring statistical significance, and build highly complex, technical and creative predictive analytics for business applications. 
Translate quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data. 
Enable the business to make clear tradeoffs between and among choices, with a reasonable view into likely outcomes. 
Guide aspects of project design as a technical consultant for the team. 
Customizes analytic solutions to specific stakeholder needs. 
Regularly engage with the data science community and leads cross functional working groups. 
 
Position requires domestic (U.S.) travel up to 5% 
Telecommuting permitted up to 100%  
Requirements:  
Employer will accept a Bachelor’s degree (or foreign equivalent) in Actuarial Science, Statistics or related field and 10 years of experience in the job offered or in a Director II, Data Science-related occupation.
Position requires demonstrable experience with the following: 
P&C insurance domain expertise includes deep knowledge of exposure, premium and loss data, classification plans, state- and plan-level rate setting, and actuarial principles including credibility, loss development, trend analysis, experience rating and ratemaking.
Develop, validate and deploy pricing models including GLMs and gradient-boosted models and diagnose model performance across lines of business and products
Own the full modeling lifecycle including data procurement, feature engineering, model selection, cross-validation, back-testing, calibration, monitoring, and model retraining.
Technical proficiency with modeling tools and languages, requiring experience in at least two tools, including Python or Emblem, and additional proficiency in at least one of SAS or R. 
Experience with large-scale data wrangling and evaluation and selection of appropriate internal toolsets. 
Measure and improve pricing effectiveness including quantifying current pricing, identifying gaps, recommending pricing and model changes, define KPIs tied to underwriting profitability, and perform cost-benefit analyses to inform business decisions. 
Lead and develop team members including hiring, mentorship, individualized development planning, performance management, code and research review, and guidance on model design and tool selection. 
Project and stakeholder management including scope and prioritize work, estimate effort, assign resources, balance planned versus ad-hoc requests, evaluate new requests, negotiate timelines and replan deliverables. 
Cross-functional partnership and influence including work with product-line, state management, underwriting, IT and compliance and build business cases, advocate the pricing roadmap and support multi-state implementation and adoption. 
Governance and quality controls including maintaining audit-ready documentation, reproducible code, validation artifacts and versioning; ensure regulatory, privacy, fairness and transparency compliance; and promote testing, peer review, and continuous improvement.
Experience may be gained during graduate program. Will accept any suitable combination of education, training, and/or experience. Multiple Positions Available. 
 
 
REFER TO: To apply, please visit https://jobs.libertymutualgroup.com/, select “Search Jobs,” enter job requisition #2026-XXXXX in the “Job ID or Keywords” field, and submit resume. Alternatively, you may apply by submitting a resume via e-mail to RecruitLM@LibertyMutual.com. Reference requisition number in subject of e-mail.  

Duties:  
Manage and develop a team of data science and advanced analytics staff, driving accurate risk classification in pricing across three lines of business. 
Apply broad knowledge of sophisticated analytics techniques to manipulate large structured and unstructured data sets in order to generate insights to inform business decisions. 
Drive innovation in the application and development of tools and practices. 
Mine large data sets using sophisticated analytical techniques to generate insights and inform business decisions. 
Identify and tests hypotheses, ensuring statistical significance, and build highly complex, technical and creative predictive analytics for business applications. 
Translate quantitative analyses and findings into accessible visuals for non-technical audiences, providing a clear view into interpreting the data. 
Enable the business to make clear tradeoffs between and among choices, with a reasonable view into likely outcomes. 
Guide aspects of project design as a technical consultant for the team. 
Customizes analytic solutions to specific stakeholder needs. 
Regularly engage with the data science community and leads cross functional working groups. 
 
Position requires domestic (U.S.) travel up to 5% 
Telecommuting permitted up to 100%  
Requirements:  
Employer will accept a Bachelor’s degree (or foreign equivalent) in Actuarial Science, Statistics or related field and 10 years of experience in the job offered or in a Director II, Data Science-related occupation.
Position requires demonstrable experience with the following: 
P&C insurance domain expertise includes deep knowledge of exposure, premium and loss data, classification plans, state- and plan-level rate setting, and actuarial principles including credibility, loss development, trend analysis, experience rating and ratemaking.
Develop, validate and deploy pricing models including GLMs and gradient-boosted models and diagnose model performance across lines of business and products
Own the full modeling lifecycle including data procurement, feature engineering, model selection, cross-validation, back-testing, calibration, monitoring, and model retraining.
Technical proficiency with modeling tools and languages, requiring experience in at least two tools, including Python or Emblem, and additional proficiency in at least one of SAS or R. 
Experience with large-scale data wrangling and evaluation and selection of appropriate internal toolsets. 
Measure and improve pricing effectiveness including quantifying current pricing, identifying gaps, recommending pricing and model changes, define KPIs tied to underwriting profitability, and perform cost-benefit analyses to inform business decisions. 
Lead and develop team members including hiring, mentorship, individualized development planning, performance management, code and research review, and guidance on model design and tool selection. 
Project and stakeholder management including scope and prioritize work, estimate effort, assign resources, balance planned versus ad-hoc requests, evaluate new requests, negotiate timelines and replan deliverables. 
Cross-functional partnership and influence including work with product-line, state management, underwriting, IT and compliance and build business cases, advocate the pricing roadmap and support multi-state implementation and adoption. 
Governance and quality controls including maintaining audit-ready documentation, reproducible code, validation artifacts and versioning; ensure regulatory, privacy, fairness and transparency compliance; and promote testing, peer review, and continuous improvement.
Experience may be gained during graduate program. Will accept any suitable combination of education, training, and/or experience. Multiple Positions Available. 
 
 
REFER TO: To apply, please visit https://jobs.libertymutualgroup.com/, select “Search Jobs,” enter job requisition #2026-XXXXX in the “Job ID or Keywords” field, and submit resume. Alternatively, you may apply by submitting a resume via e-mail to RecruitLM@LibertyMutual.com. Reference requisition number in subject of e-mail.  

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About Liberty Mutual

Sourced by ZipRecruiter

Since 1912, we've grown into the fifth largest global property and casualty insurer based on 2022 gross written premium. We also rank 86 on the Fortune 100 list of largest corporations in the US based on 2022 revenue. ​At Liberty Mutual Insurance we work hard every day to support our customers and our people, so they can protect their families, build their businesses and invest in their futures. We are headquartered in Boston, but our people, our customers and our reach span the globe. So to better serve our global customers and employees, we are organized into three business units.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

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