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Flood Data Scientist Jobs (NOW HIRING)

SageSure

Data Scientist

Chicago, IL · On-site

SageSure, a leader in catastrophe-exposed property insurance, is seeking a Data Scientist to join ... Available in 16 states, SageSure offers more than 110 home, flood, and commercial products on ...

Wri

Senior Water Data Scientist

Washington, DC · On-site +1

The Senior Water Data Scientist will serve as the technical and scientific lead for a flagship ... flood risk, and watershed resilience, by convening partners to build the scientific methodologies ...

Karen Clark & Company

Coastal/Flood Engineer

Boston, MA · On-site

$90K - $100K/yr

In this position, you will work closely with other scientists and engineers to develop and manage ... Analyze and apply insurance claims data in the development and validation of the vulnerability ...

Karen Clark & Company

Coastal/Flood Engineer

Boston, MA · On-site

$90K - $100K/yr

In this position, you will work closely with other scientists and engineers to develop and manage ... Analyze and apply insurance claims data in the development and validation of the vulnerability ...

Karen Clark & Company

Coastal/Flood Engineer

Boston, MA · On-site

$90K - $100K/yr

In this position, you will work closely with other scientists and engineers to develop and manage ... Analyze and apply insurance claims data in the development and validation of the vulnerability ...

River Partners

Data Science Intern

San Diego, CA · On-site

$18 - $20/hr

We restore thriving native forests and ecosystems that support imperiled wildlife, improve flood ... Scientist Intern to ensure timely completion of data collection, analysis, and creation of the ...

Lynker Corporation

Geospatial Scientist

Boulder, CO · On-site +1

$80K - $110K/yr

... tiled data pipelines. * Exposure to hydrologic or flood-inundation modeling (e.g., DEM-driven ... Track record of scientific writing, presentation, or open-source contribution. * Colorado Front ...

Lynker Corporation

Geospatial Scientist

Boulder, CO · On-site +1

... tiled data pipelines. * Exposure to hydrologic or flood-inundation modeling (e.g., DEM-driven ... Track record of scientific writing, presentation, or open-source contribution. * Colorado Front ...

Lynker Corporation

Geospatial Scientist

Boulder, CO · On-site

$80K - $110K/yr

... tiled data pipelines. * Exposure to hydrologic or flood-inundation modeling (e.g., DEM-driven ... Track record of scientific writing, presentation, or open-source contribution. * Colorado Front ...

Lynker Corporation

Geospatial Scientist

Boulder, CO · On-site

... tiled data pipelines. * Exposure to hydrologic or flood-inundation modeling (e.g., DEM-driven ... Track record of scientific writing, presentation, or open-source contribution. * Colorado Front ...

Lynker

Geospatial Scientist

Boulder, CO · On-site

... tiled data pipelines. * Exposure to hydrologic or flood-inundation modeling (e.g., DEM-driven ... Track record of scientific writing, presentation, or open-source contribution. * Colorado Front ...

Berriehill Research

Staff Scientist

Raleigh, NC · On-site +1

The successful candidate for this position will have a strong background in hurricane, flood, and ... Process and interpret property insurance exposure data for input to HurLoss, ARA's hurricane ...

Berriehill Research

Senior Scientist

Raleigh, NC · On-site +1

$80K - $110K/yr

The successful candidate for this position will have a strong background in hurricane, flood, and ... Process and interpret property insurance exposure data for input to HurLoss, ARA's hurricane ...

ARA

Senior Scientist

Raleigh, NC · On-site

$80K - $110K/yr

The successful candidate for this position will have a strong background in hurricane, flood, and ... Process and interpret property insurance exposure data for input to HurLoss, ARA's hurricane ...

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Flood Data Scientist information

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$37.5K

$122.7K

$196.5K

How much do flood data scientist jobs pay per year?

As of Sep 11, 2026, the average yearly pay for flood 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 a flood data scientist?

Flood Data Scientists are professionals who analyze and interpret data related to floods to predict occurrences, assess risks, and support disaster management efforts. They use a combination of hydrological models, remote sensing data, geographic information systems (GIS), and statistical methods to understand flood patterns and impacts. Their work helps governments, organizations, and communities prepare for and respond to flood events, ultimately reducing damage and saving lives. Flood Data Scientists often collaborate with engineers, meteorologists, and emergency planners to provide actionable insights based on data analysis.

What are some common challenges faced by flood data scientists when integrating diverse data sources for flood prediction models?

Flood Data Scientists often work with a variety of data sources, including satellite imagery, weather sensors, river gauges, and historical flood records. Integrating these diverse datasets can be challenging due to differences in data formats, spatial and temporal resolutions, and data quality. Overcoming these challenges requires strong data preprocessing skills and collaboration with hydrologists and GIS specialists to ensure accurate model inputs. Additionally, maintaining data integrity and updating models as new data becomes available are key responsibilities in this role.

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

To thrive as a Flood Data Scientist, you need strong expertise in data analysis, hydrology, and statistical modeling, typically supported by a degree in environmental science, engineering, or a related field. Familiarity with GIS software, programming languages like Python or R, and experience with remote sensing data are commonly required. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and collaborating with multidisciplinary teams. These skills ensure accurate flood risk assessments and effective solutions for disaster preparedness and mitigation.

What is the difference between Flood Data Scientist vs Hydrologist?

AspectFlood Data ScientistHydrologist
Required CredentialsDegree in Data Science, Statistics, or related field; knowledge of GIS and modeling toolsDegree in Hydrology, Environmental Science, or Geosciences; often licensed or certified
Work EnvironmentData analysis, modeling, and software development in research or government agenciesFieldwork, data collection, and analysis in environmental or water resource agencies
Industry UsageUsed in disaster management, climate modeling, and infrastructure planningApplied in water resource management, flood risk assessment, and environmental protection

While both roles focus on water-related issues, Flood Data Scientists primarily analyze data and develop models related to flooding events, whereas Hydrologists study water systems and processes, often involving fieldwork and environmental assessments. The roles complement each other in flood risk management and environmental planning.

Is a flood data scientist job still in demand?

Flood data scientist jobs are in demand due to increasing climate change impacts and the need for advanced data analysis in environmental risk management. Skills in hydrology, GIS, and data modeling with tools like Python or R are highly valued in this field.

What states have the most Flood Data Scientist jobs?

States with the most job openings for Flood Data Scientist jobs include:

What are popular job titles related to Flood Data Scientist jobs?

For Flood Data Scientist jobs, the most frequently searched job titles are:

Infographic showing various Flood Data Scientist job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $122,738 per year, or $59 per hour.

Data Scientist

Chicago, IL • On-site

SageSure
Insurance Services • 501 - 1,000 employees
Learn more about SageSureexternal

Full-time

Re-posted yesterday

Key responsibilities

  • Combine geospatial analytics, statistical modeling, machine learning, and software development to solve complex underwriting and risk management challenges.

  • Develop scalable analytical tools, automate workflows, and analyze spatial, property, policy, and claims data to support business decisions.

  • Support building software applications, analytical tools, and data pipelines to automate underwriting, risk analysis, and facilitate business operations.

Job description

Overview:
If you're looking for the stability of a profitable, growing company with the entrepreneurial spirit of a startup, we're hiring. SageSure, a leader in catastrophe-exposed property insurance, is seeking a Data Scientist to join our team. In this role, you will combine geospatial analytics, statistical modeling, machine learning, and software development to solve complex underwriting and risk management challenges.
You will develop scalable analytical tools, leverage spatial, property, policy and claims data, automate complex workflows, and work within a cross-functional team - including Product Development, Underwriting, Cat Modeling, Data and Risk Management - to support profitable growth.
The ideal candidate enjoys solving difficult business problems through data science, thrives working with large and complex datasets, and has experience applying technologies alongside modern analytics and AI techniques.
What you'd be doing:
  • Deliver analytical insights that support business decisions as a member of a cross-functional team - including Product Development, Underwriting, Cat Modeling, Data and Risk Management.
  • Design and develop statistical, geospatial, and machine learning models that improve underwriting performance and portfolio management.
  • Analyze spatial, exposure, catastrophe, and loss data to identify trends, concentrations of risk, and business opportunities.
  • Execute predictive analytics, machine learning, and AI models that support pricing, underwriting, and operational efficiency.
  • Apply statistical techniques including regression, clustering, classification, time series analysis, and causal inference to solve business problems.
  • Support building software applications and analytical tools that automate underwriting and risk analysis.
  • Build reusable data pipelines and automate data collection, cleansing, transformation, to support underwriting, product development and risk management.
  • Design and maintain geospatial datasets using internal and third-party data sources.
  • Develop software applications and APIs that support underwriting analytics and business decision making.
  • Mentor junior team members and promote best practices for AI use within the department.
  • Perform other duties and special projects as assigned

We are looking for someone who has:
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Geographic Information Systems (GIS), Engineering, Information Science, or a related quantitative discipline.
  • 5 to 7 years of experience in data science, analytics, software development, or geospatial analytics.
  • Experience with statistical modeling techniques and building predictive models using Python, SAS or R, and strong statistical modeling techniques
  • Experience developing solutions using SQL and relational databases.
  • Experience working with large structured and unstructured datasets.
  • Experience using GIS platforms such as ESRI ArcGIS, ArcGIS Pro, ArcObjects, or equivalent geospatial technologies.
  • Experience developing automated data processing and analytical workflows.
  • Experience building software applications or analytical tools that support business operations.
  • Strong problem-solving and communication skills

Highly preferred candidates also have:
  • Experience in Property & Casualty insurance.
  • Familiarity with catastrophe models and exposure management.
  • Experience with geospatial statistics and spatial modeling.
  • Experience with AI and Generative AI technologies.
  • Experience with C#, .NET, or software engineering principles.

About SageSure:
Named among the Best Places to Work in Insurance by Business Insurance for four years in a row (2020-2023), SageSure is one of the largest managing general underwriters (MGU) focused on catastrophe-exposed property in the US. Since its founding in 2009, SageSure has experienced exceptional growth while generating underwriting profits for carrier partners through hurricanes, wildfires, and hail. Available in 16 states, SageSure offers more than 110 home, flood, and commercial products on behalf of its highly rated carrier partners. Today, SageSure manages more than $3.2 billion of inforce premium and helps protect more than 970,000 policyholders.
We have more than 1,000 employees in a distributed workforce environment across 12 offices-Fairfield, CA; Mountain View, CA; Cheshire, CT; Jacksonville, FL; Tallahassee, FL; Tampa, FL; Chicago, IL; Jersey City, NJ; Marlton, NJ; Cincinnati, OH; Houston, TX; Sheboygan, WI-who are tackling the industry's toughest challenges.
SageSure is a proud Equal Opportunity Employer committed to building a workforce that reflects the spectrum of perspectives, experiences, and abilities of the world we live in. We recognize that our differences make us strong, and we actively seek out diverse candidates through partnerships with organizations, institutions and communities that represent various backgrounds. We champion belonging and inclusion for all identities, including, but not limited to, race, ethnicity, religion, sexual orientation, age, veteran status, ability status, gender, and country of origin, striving to create a culture where all individuals feel valued, respected, and empowered to bring their authentic selves to work.
Our nimble, highly responsive culture nurtures critical thinkers who run toward problems and engineer solutions. We relentlessly pursue better outcomes by investing in the technology, talent, and tools that position us to succeed in demanding markets. Come join our team! Visit sagesure.com/careers to find a position for you.
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