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Full Time Data Scientist Risk Jobs in Illinois (NOW HIRING)

SageSure

Data Scientist

Chicago, IL · On-site

Analyze spatial, exposure, catastrophe, and loss data to identify trends, concentrations of risk ... Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Geographic ...

PayPal, Inc.

Data Scientist

Chicago, IL · On-site

Work on a broad array of projects from card risk strategies, acquisition, and payment risk ... data science techniques to solve real-world problems (1 year). 9. Experience using Python to ...

PayPal

Data Scientist

Chicago, IL

Work on a broad array of projects from card risk strategies, acquisition, and payment risk ... data science techniques to solve real-world problems (1 year). 9. Experience using Python to ...

Southampton Football Club

Data Scientist

Campus, IL

Staplewood Training Ground Hours: Full Time Contract Type: Permanent Criminal Record Check: DBS ... risk and we expect everyone to share this commitment. You will be required to adhere to all ...

New

PayPal

Sr Data Scientist

Chicago, IL · On-site

Drive best practices in data science. * Ensure data quality and integrity in all processes ... Own the areas of Fraud risk policy: Work on Broad area of projects from card riskstrategies ...

PayPal, Inc.

Sr Data Scientist

Chicago, IL · On-site

Drive best practices in data science. * Ensure data quality and integrity in all processes ... Your way to impact: • Own the areas of Fraud risk policy: Work on Broad area of projects from ...

Kemper

Data Scientist

Chicago, IL · On-site +1

Data Science is a driver of significant competitive advantage for Kemper and is critical to the ... Prior experience in insurance, financial services, pricing, risk modeling, or a related analytical ...

Fifth Third

Data Scientist

Chicago, IL · On-site

Responsible and accountable for risk by openly exchanging ideas and opinions, elevating concerns ... Data Scientist Total Base Pay Range 82,100.00 - 172,500.00 USD Annual At Fifth Third, we understand ...

PayPal, Inc.

Staff Data Scientist

Chicago, IL · On-site

PayPal, Inc. seeks Staff Data Scientist in Chicago, IL Job Duties: Lead the development and ... Maintain and enhance data-driven authentication risk strategies to support PayPal's global ...

Fifth Third Bank

Data Scientist

Chicago, IL · On-site

Responsible and accountable for risk by openly exchanging ideas and opinions, elevating concerns ... Data Scientist Total Base Pay Range 82,100.00 - 172,500.00 USD Annual At Fifth Third, we understand ...

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All JobsData Scientist Risk JobsFull Time Data Scientist Risk JobsFull Time Data Scientist Risk Jobs in Illinois

Full Time Data Scientist Risk information

What is the difference between Full Time Data Scientist Risk vs Full Time Data Analyst Risk?

AspectFull Time Data Scientist RiskFull Time Data Analyst Risk
Required CredentialsBachelor's/Master's in Data Science, Statistics, or related fields; sometimes certifications in risk analyticsBachelor's in Data Analysis, Statistics, or related fields; certifications are common but less specialized
Work EnvironmentCollaborates with risk management teams, develops models, analyzes complex data setsPrepares reports, analyzes data trends, supports risk decision-making
Employer & Industry UsageFinancial institutions, insurance companies, banksFinancial firms, insurance companies, consulting agencies

Full Time Data Scientist Risk roles focus on developing advanced risk models and leveraging complex data analysis, requiring specialized skills and certifications. Full Time Data Analyst Risk positions involve data reporting and trend analysis to support risk decisions, often with less emphasis on modeling. Both roles are vital in risk management but differ in technical depth and responsibilities.

Is a full time data scientist risk a risky job?

A full-time data scientist risk role involves analyzing data to identify potential threats and inform decision-making, which can be high-pressure but is generally not considered physically risky. The job often requires strong analytical skills, proficiency with tools like Python or R, and the ability to handle sensitive information, but it typically involves office or remote work environments with standard working hours. Overall, it is not inherently risky compared to physically demanding or hazardous occupations.

What are the most commonly searched types of Data Scientist Risk jobs in Illinois?

The most popular types of Data Scientist Risk jobs in Illinois are:

What cities in Illinois are hiring for Full Time Data Scientist Risk jobs?

Cities in Illinois with the most Full Time Data Scientist Risk job openings:

Full Time Data Scientist Risk jobs near you

Data Scientist

SageSure

Chicago, IL • On-site

Full-time

Posted 4 days ago

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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