We are searching for a creative and analytical Geospatial Data Scientist to join our collaborative data science team. In this exciting role, you will have the opportunity to work with diverse and complex geospatial datasets to solve some of the most pressing challenges in the [re]insurance industry. You will be empowered to:

Collect, analyze, and interpret intricate geospatial data to inform critical business decisions.
Develop and implement sophisticated risk models and climate analytics.
Optimize operational strategies through data-driven insights.
Collaborate with a team of experts in a dynamic and supportive environment.

We are looking for a candidate with hands-on experience with GIS platforms, a proven ability to build and maintain geospatial data pipelines, and a strong command of machine learning techniques. A background or familiarity with catastrophe loss estimation concepts will set you up for success in this role. If you are ready to take on a challenging and rewarding position where your work has a real-world impact, we encourage you to apply.

Geo-Salary Information

State specific pay scales for this role are as follows:

$105,245 to $199,452 (CA, NJ, NY, WA, HI, AK, MD, CT, RI, MA)

$95,677 to $181,320 (NV, OR, AZ, CO, WY, TX, ND, MN, MO, IL, WI, FL, GA, MI, OH, VA, PA, DE, VT, NH, ME)

$86,110 to $163,188 (UT, ID, MT, NM, SD, NE, KS, OK, IA, AR, LA, MS, AL, TN, KY, IN, SC, NC, WV)

The expected base salary for this position will vary depending on a number of factors, including relevant experience, skills and location.

Responsibilities

What You'll Achieve:

Architect & Automate Data Flow: Design, build, and maintain robust, scalable geospatial data pipelines using Python and open-source libraries (e.g., GeoPandas, Rasterio) to ensure a seamless flow of high-quality data for analysis.
Master Diverse Geospatial Data: Ingest, clean, and validate a wide array of geospatial data types—from vector and raster to point cloud and tiled indexes (like H3)—transforming raw information into analysis-ready assets.
Uncover Hidden Patterns: Apply advanced spatial statistical methods, including spatial clustering and spatiotemporal mining, to identify and model critical patterns and trends that will drive our business strategy.
Drive Collaborative Solutions: Partner closely with data scientists, engineers, and business leaders to understand their challenges, define data requirements, and strategically expand our central geospatial data library.
Visualize & Communicate Insights: Create compelling interactive visualizations and dashboards with tools like Hex, Kepler.gl, or ArcGIS to translate complex spatial analysis into clear, actionable stories for stakeholders at all levels

Required

Qualifications

Bachelor’s or Master’s degree in Geography, Computer Science, Data Science, Environmental Science, or a related field.
3+ years of experience working with machine learning, geospatial data and GIS tools (e.g., ArcGIS Pro, QGIS, Carto).
Proficiency in Python, with experience using geospatial libraries (e.g., GeoPandas, Shapely, Rasterio).

Preferred

Experience working in the insurance or reinsurance industry, particularly in roles involving exposure modeling, catastrophe risk, or underwriting analytics.
Familiarity with catastrophe modeling platforms (e.g., Verisk Touchstone, Moody’s RMS).
Understanding of catastrophe risk concepts and metrics such as Hazard & Vulnerability, EP, TVaR, and AAL.

About The Company

Why choose a career at Mercury?

At Mercury, we have been guided by our purpose to help people reduce risk and overcome unexpected events for more than 60 years. We are one team with a common goal to help others. Everyone needs insurance and we can’t imagine a world without it.

Our team will encourage you to grow, make time to have fun, and work together to make great things happen. We embrace the strengths and values of each team member. We believe in having diverse perspectives where everyone is included, to serve customers from all walks of life.

We care about our people, and we mean it. We reward our talented professionals with a competitive salary, bonus potential, and a variety of benefits to help our team members reach their health, retirement, and professional goals.

Learn more about us here: https://www.mercuryinsurance.com/about/careers

Perks And Benefits

We offer many great benefits, including:

Competitive compensation
Flexibility to work from anywhere in the United States for most positions
Paid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours)
Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus)
Medical, dental, vision, life, and pet insurance
401 (k) retirement savings plan with company match
Engaging work environment
Promotional opportunities
Education assistance
Professional and personal development opportunities
Company recognition program
Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more

Mercury Insurance is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by federal, state, or local law.

Pay Range

USD $105,245.00 - USD $199,452.00 /Yr.