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Data Scientist Jobs in Boca Raton, FL (NOW HIRING)

We are looking for an FCAS to join the American Modern Predictive Analytics team as a Principal Data Scientist and play a key leadership role in advancing pricing model strategy. American Modern ...

Lead Data Scientist

Boca Raton, FL ยท On-site

$100K - $160K/yr

TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices Team Overview This role reports into a Director of Data Science & Analytics. The Financial Services ...

QDStaff is a leading talent source for award-winning video game companies, and they are seeking an experienced Data Scientist to join a fast-growing game development company in Boca Raton, Florida.

Lead Data Scientist

Boca Raton, FL ยท On-site

$100K - $160K/yr

TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices Team Overview This role reports into a Director of Data Science & Analytics. The Financial Services ...

TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices Team Overview This role reports into a Director of Data Science & Analytics. The Financial Services ...

Showing results 21-40

Data Scientist information

See Boca Raton, FL salary details

$35.6K

$116.5K

$186.5K

How much do data scientist jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data scientist in Boca Raton, FL is $116,475.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $129,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data scientist, and why are they important?

To thrive as a Data Scientist, you need a strong background in statistics, programming (often Python or R), and data analysis, typically supported by a degree in computer science, mathematics, or a related field. Familiarity with machine learning frameworks, data visualization tools, and big data platforms like TensorFlow, Tableau, and Hadoop, as well as certifications in data science, are highly valued. Excellent problem-solving skills, curiosity, and the ability to communicate complex findings clearly set outstanding data scientists apart. These skills and qualities are crucial for extracting actionable insights from data, driving business decisions, and collaborating effectively with stakeholders.

What do data scientists do?

Data scientists collect, confirm, and interpret data to determine useful information for their employer. They help organizations identify patterns and trends in their data to provide information about lucrative opportunities, necessary improvements, and potential innovations. The information data scientists get from the records they gather helps businesses make major decisions in critical areas, such as product development, sales and marketing techniques, and client retention. Data scientists are highly educated; the majority of them have at least a master's degrees, and many have doctorates. Data scientists are valuable members of organizations in many different industries, including pharmaceuticals, manufacturing, and banking.

What are some typical projects data scientists work on, and how do they collaborate with other teams?

Data Scientists often work on projects such as building predictive models, analyzing large datasets to uncover trends, and developing data-driven solutions to business problems. They regularly collaborate with cross-functional teams, including software engineers, data engineers, and business analysts, to ensure that their insights are actionable and aligned with business goals. Effective communication and teamwork are essential, as Data Scientists frequently need to present complex findings to non-technical stakeholders and incorporate feedback from various departments.

What is the difference between Data Scientist vs Data Analyst?

AspectData Scientist
Required CredentialsDegree in Computer Science, Statistics, or related field; often requires advanced degrees
Work EnvironmentResearch and development, predictive modeling, machine learning projects
Employer & Industry UsageTech companies, finance, healthcare, consulting firms
Common Search & ComparisonOften compared due to overlapping skills in data analysis and modeling

Data Scientists focus on building predictive models, advanced analytics, and machine learning, often requiring higher-level technical skills and education. Data Analysts primarily interpret existing data, generate reports, and support decision-making with descriptive analytics. While both roles analyze data, Data Scientists handle complex modeling and predictive tasks, whereas Data Analysts focus on data interpretation and reporting.

Is a data scientist job still in demand?

Yes, data scientist roles remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in machine learning, statistical analysis, and programming languages like Python or R are highly valued, and employment opportunities continue to grow as organizations seek to leverage big data for competitive advantage.

What does a data scientist do exactly?

A data scientist analyzes large datasets to extract insights, build predictive models, and support decision-making. They use statistical techniques, programming languages like Python or R, and tools such as SQL and machine learning algorithms to interpret data and solve complex problems.

What are the most commonly searched types of Data Scientist jobs in Boca Raton, FL?

The most popular types of Data Scientist jobs in Boca Raton, FL are:

What are popular job titles related to Data Scientist jobs in Boca Raton, FL?

For Data Scientist jobs in Boca Raton, FL, the most frequently searched job titles are:

What job categories do people searching Data Scientist jobs in Boca Raton, FL look for?

The top searched job categories for Data Scientist jobs in Boca Raton, FL are:

What cities near Boca Raton, FL are hiring for Data Scientist jobs?

Cities near Boca Raton, FL with the most Data Scientist job openings:

Infographic showing various Data Scientist job openings in Boca Raton, FL as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 18% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $116,475 per year, or $56 per hour.

Actuarial Data Scientist (FCAS)

Munich Re

Boca Raton, FL โ€ข On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Key responsibilities

  • Lead pricing model strategy for a subset of products.

  • Develop, deploy, monitor, and maintain predictive models.

  • Manage filing schedules for aligned products.


Job description

We are looking for an FCAS to join the American Modern Predictive Analytics team as a Principal Data Scientist and play a key leadership role in advancing pricing model strategy.

American Modern Insurance Group, Inc., a Munich Re company, is a widely recognized specialty insurance leader that delivers products and services for residential property - such as manufactured homes and specialty dwellings - and the recreational market, including boats, personal watercraft, classic cars, and more. We provide specialty product solutions that cover what the competition often can't. We write admitted products in all 50 states and have a premium volume of $2.2 billion.

Headquartered in Amelia, Ohio, and with associates located across the United States, we are part ofย Munich Re's Global Specialty Insuranceย division. Our employees receive boundless opportunity to grow their careers and make a difference every day - all in a flexible environment that helps them succeed both at work and at home.

As a senior technical leader, you will drive the end-to-end development, enhancement, maintenance, and monitoring of personal lines pricing models. This role is highly visible and influential. While it does not include direct people management, it requires strong technical modeling skills, ownership of regulatory filings and objections, and mentorship of junior data scientists and analysts. As you grow in this role, the opportunity will extend beyond pricing, enabling you to contribute to broader predictive and decision science initiatives that support long-term enterprise strategy.

Purpose:

Use data and statistical analysis to drive business decisions and target improved results across various functional areas.

Roles & Responsibilities:

  • Lead pricing model strategy for a subset of products.
  • Develop, deploy, monitor, and maintain predictive models.
  • Effectively collaborate with stakeholders.
  • Manage filing schedules for aligned products.
  • Prepare and complete predictive analytics analysis and modeling with general guidance on very complex projects.
  • Participate in the development of predictive analytics and modeling presentations and present results/topics to customers (internal & external) and management as requested.
  • Concentrate on loosely defined problems which require application of creative approaches. Contribute to projects that yield actionable insights the business can use to increase customer satisfaction, policy growth, retention, and profitability.
  • Complete required data preparation, including data input with guidance. Identify data anomalies and seek guidance on necessary adjustments.
  • Identify data and operational issues requiring specialized analytics attention, data scrubbing, and modeling techniques.
  • Document and communicate assumptions, results, and alternatives to team members and internal customers with guidance. Communicate with regulators when called upon to support rate filings or modeling practices in general.
  • Create and maintain modeling best practices and new techniques in coordination with internal and external business partners.
  • Explain advanced analytic and modeling procedures in the language that audiences with no predictive analytics training can easily find connections to. Understand customers' requests and hidden issues and explain possible solutions in their language.
  • Schedule and prioritize workload demands. Maintain very good organization skills. Complete technical peer reviews as needed.
  • Maintain strong interpersonal skills - listen deeply, ask correct questions, take notes, complete professional oral and written business communications (including email communications), presentations, and build business relationships in order to better understand insurance company processes and functions. Established relationships with multiple areas of interaction.
  • Mentor junior data scientists and team members.

Required Technical Skills:

  • FCAS required.
  • Experience in multiple programming languages, including R and Python.
  • Deep understanding of GLMs and GBMs.
  • Familiarity with AI and machine learning concepts, including supervised and unsupervised learning, deep learning, and natural language processing.
  • Experience with Databricks or similar big data platforms is highly desirable.
  • Strong understanding of data structures, algorithms, and software design patterns.
  • Experience working in an agile team environment, with familiarity with Scrum or Kanban methodologies.
  • Strong commitment to testing, validation, and continuous improvement of models and workflows.
  • Proven experience with project management and prioritization.

Skills / Knowledge / Experience:

  • Independently build models and statistical analyses.
  • Effectively communicate results to business partners and help drive business decisions.
  • Participate in creation and discussion of best practices and propose new techniques.
  • Manage projects and direct work of more junior team members.
  • Six (6) or more years of data science/predictive analytics experience in insurance or eight (8+) or more years predictive modeling experience in another industry.

Education, Certifications & Designations:

  • Master's degree in Business Analytics, Statistics, Computer Science, or Statistics/Math and Economics double major, or Statistics/Math and Computer Science double major or Statistics/Math and Operation Research double major.ย 

We are proud to offer our employees, their domestic partners, and their children, a wide range of insurance benefits:

  • Two options for your health insurance plan (PPO or High Deductible)
  • Supplemental Life and AD&D plans that you can purchase for yourself and dependents (includes spouse/domestic partner and children)
  • Voluntary Benefit plans that supplement your health and life insurance plans (Accident, Critical Illness and Hospital Indemnity)
  • Prescription drug coverage (included in your health insurance plan)
  • Short and Long Term Disability coverage
  • Vision and dental insurance plans

In addition to the above insurance offerings, our employees also enjoy:

  • A robust 401k plan with up to a 5% employer match
  • A retirement savings plan that is 100% company funded
  • Paid time off that begins with 24 days each year, with more days added when you celebrate milestone service anniversaries
  • Eligibility to receive a yearly bonus as a Munich Re employee
  • A variety of health and wellness programs provided at no cost
  • A hybrid environment that gives you a choice in where and how you get work done
  • A corporately subsidized on-site cafeteria as well as a We Proudly Serve coffee shop
  • An on-site complimentary workout facility as well as walking trails on campus grounds
  • On-site wellness center complete with nurse practitioner
  • Financial assistance for adoptions and infertility treatment
  • Paid time off for eligible family care needs
  • Tuition assistance and educational achievement bonuses
  • Free parking
  • A corporate matching gifts program that further enhances your charitable donation
  • Paid time off to volunteer in your community

At American Modern, a subsidiary of Munich Re, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services. ย 

We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Sometimes we are fortunate enough to receive a high volume of applications. After reviewing all applications, we will contact only the selected candidates to schedule an interview.ย  We are grateful for all candidates and their interest.

Applicants requiring employer sponsorship of a visa will not be considered for this position.

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