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Data Science Consultant Jobs in Florida (NOW HIRING)

Liberty Mutual

Director, Data Science

Miami, FL · On-site +1

$156K - $281K/yr

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 ...

New

Liberty Mutual

Director, Data Science

Miami, FL · On-site +1

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 ...

Liberty Mutual

Director, Data Science

Miami, FL · On-site +1

$156K - $281K/yr

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 ...

New

Cliftonlarsonallen

Manager of Data Science

Naples, FL · On-site

... audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S ... CLA is looking to hire a Manger of Data Science This role constructs complex solutions that ...

Ci

Data Science and Analytics Manager

Miami, FL · On-site

Data Science and Analytics team leadership. Manage data analysts delivering dashboards, recurring ... Background in Financial Services, consulting, or highgrowth technology environments preferred.

UAB

DATA SCIENTIST LEAD

Tampa, FL · On-site

$104K - $169K/yr

Provides consultation on the design, testing, and enhancement of reporting systems. Researches ... implement data science algorithms (e.g. regression, classification and clustering techniques ...

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Data Science Consultant information

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$33

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How much do data science consultant jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for data science consultant in Florida is $33.55, according to ZipRecruiter salary data. Most workers in this role earn between $22.64 and $44.90 per hour, depending on experience, location, and employer.

What is a data science consultant?

Data Science Consultants are professionals who use statistical analysis, machine learning, and data modeling to help organizations solve business problems and make informed decisions. They typically work with clients to understand their data-related challenges, develop tailored analytical solutions, and communicate actionable insights. Their expertise spans across data collection, data cleaning, predictive analytics, and data visualization, enabling businesses to leverage data for strategic advantage. Data Science Consultants often work on a project basis, either independently or as part of consulting firms, serving clients in various industries.

How does a data science consultant typically collaborate with clients and internal teams during a project?

Data Science Consultants work closely with both clients and internal stakeholders to understand business objectives, gather requirements, and translate them into analytical solutions. They often facilitate workshops or meetings to clarify goals, then collaborate with data engineers, analysts, and subject matter experts to design and implement models. Regular communication is essential, as consultants must present findings in accessible terms, adjust methodologies based on feedback, and ensure solutions are actionable for the client’s needs. This cross-functional collaboration is key to delivering value and building long-term client relationships.

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

To thrive as a Data Science Consultant, you need strong analytical skills, proficiency in statistics, and experience with data modeling, typically supported by a degree in a quantitative field. Familiarity with programming languages like Python or R, data visualization tools (e.g., Tableau or Power BI), and cloud platforms is commonly required, along with certifications such as AWS Certified Data Analytics or Google Data Engineer. Excellent communication, problem-solving abilities, and business acumen help consultants translate complex data insights into actionable recommendations for clients. These skills are vital to deliver tangible business value, bridge technical and non-technical stakeholders, and drive data-driven decision-making.

How much does a data science consultant make?

Data science consultants typically earn between $70,000 and $150,000 annually, depending on experience, location, and industry. Senior or specialized consultants with advanced skills in machine learning and data analysis can earn higher salaries, especially when working on complex projects or for large organizations.

What are popular job titles related to Data Science Consultant jobs in Florida?

For Data Science Consultant jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Data Science Consultant jobs in Florida look for?

The top searched job categories for Data Science Consultant jobs in Florida are:

What cities in Florida are hiring for Data Science Consultant jobs?

Cities in Florida with the most Data Science Consultant job openings:

Data Science Consultant jobs near you
Infographic showing various Data Science Consultant job openings in Florida as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $69,783 per year, or $33.5 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

47th 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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