Source Job

US

  • Direct analytical initiatives, leveraging data, statistical modeling, and machine learning to drive process improvements and decision-making.
  • Work closely with cross-functional teams—including software engineers, data analysts, and product leaders—to implement business solutions.
  • Lead discussions, present findings, and make recommendations to colleagues and management.

Data Mining Machine Learning Python R SQL

8 jobs similar to Lead Data Scientist – Property Catastrophe Modeling & Geo-Analytics

Jobs ranked by similarity.

$101,167–$204,439/yr
US

  • Support analytical projects to identify business opportunities and develop solutions.
  • Use data, statistical models, and machine learning techniques.
  • Collaborate with software engineers, data analysts, and product leaders.

Mercury is committed to helping people reduce risk and overcome unexpected events. They are guided by the purpose to help others, encourage growth, and work together to create great things.

Global

  • Develop machine learning algorithms with huge data sets.
  • Improve performances of existing algorithms.
  • Discover new data sources and create new input features for ML models.

Experian is a global data services company that helps organizations and consumers manage risk and make informed decisions. With over 125 years of experience and 21,700 employees across 30 countries, they specialize in data gathering, analysis, and fraud prevention.

US

  • Contributes to the overall product evolution strategy and roadmap.
  • Leads the design, rating, and development of new and enhanced products.
  • Identifies business opportunities through data analysis and market research.

Mercury Insurance has been dedicated to helping people reduce risk and overcome unexpected events for more than 60 years. They are one team that embraces diverse perspectives and reward their talented professionals with a competitive salary, bonus potential, and a variety of benefits.

Global

  • Extract insights from data and deliver a ML project from beginning to end.
  • Develop machine learning algorithms with huge data sets to solve challenging business questions.
  • Discover new data sources and create new input features for ML models.

Experian is a global company providing data services. They help organizations and consumers manage risk and make informed decisions. With over 125 years of experience and 21,700 employees across 30 countries, they are dedicated to innovation and prioritize inclusive culture, employee well-being, and career development.

US

  • Manage and analyze catastrophe exposure data across various lines of business.
  • Utilize catastrophe modeling software to model and quantify natural catastrophe risk.
  • Collaborate with team members to incorporate reinsurance structures into modeling and exposure management.

Applied Underwriters is a global risk services firm helping business and people manage uncertainty through its business services, insurance, and reinsurance solutions. The company has one of the highest customer retention rates in the industry and attributes its success to its employees' high level of commitment, hard work, and ambition.

$99,200–$165,300/yr
US

  • Lead data science initiatives by analyzing complex datasets to uncover insights.
  • Design, develop, and deploy predictive and prescriptive models using machine learning.
  • Collaborate with business stakeholders to define project objectives and communicate results effectively.

Jobgether uses an AI-powered matching process to ensure applications are reviewed quickly, objectively, and fairly against the role's core requirements. They identify the top-fitting candidates to share them directly with the hiring company.

$145,800–$229,125/yr
US

  • Collaborate on product and business problems with cross-functional partners.
  • Apply technical expertise with quantitative analysis and experimentation.
  • Identify and measure the success of product efforts.

At Atlassian, they’re motivated by a common goal: to unleash the potential of every team. Their software products help teams all over the planet, and their solutions are designed for all types of work.

$153,075–$275,535/yr
US

  • Perform comprehensive evaluations of data assets across the full credit and fraud lifecycle, ensuring strong regulatory compliance and risk governance.
  • Conduct rigorous benchmarking and champion/challenger analyses to compare external data assets against internal attributes, scores, and predictive models, ensuring measurable lift, ROI and benefits.
  • Develop advanced machine learning solutions and algorithms to solve complex analytical challenges.

Experian is a global data and technology company, powering opportunities for people and businesses around the world. They operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments. A FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 23,300 people across 32 countries.