Data Scientist at CNA

| Chicago
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Description
Headquartered in the heart of downtown Chicago, CNA is a leading commercial and specialty insurer, offering a diverse range of insurance products including Workers Compensation, Property, General Liability, Professional Liability, Cyber Insurance, Surety, and Warranty.  We are one of the world leaders in underwriting non-medical professionals, from lawyers and accountants to architects and management consultants.

 

What CNA offers
• A collaborative data science team with diverse skills and experiences, combined with deep expertise in statistical modeling, machine learning, and applications to insurance
• Modern cloud computing environment that enables you to explore data, build and deploy sophisticated models that impact key areas such as underwriting, pricing, claims management and risk control
• Sponsorship of continued professional growth through support for attending technical conferences, meetings and symposia

 

What we are looking for
The successful candidate will:

• Use statistical methodologies and machine learning techniques to build state-of-the-art predictive models for the pricing, underwriting, claims, operations and marketing for an exciting mix of business  insurance products 
• Translate business problems into innovative analytical solutions


Essential Duties & Responsibilities
• Builds predictive, prescriptive or descriptive models in collaboration with business partners in functional areas such as Underwriting, Pricing, Distribution, Claims, Risk Control and IT to help address business questions.
• Designs, writes, and tests advanced computer programs to extract, visualize and analyze data, to build models and to support model deployment into production.
• Interprets the results of models in business terms and communicates the contents of the models to business decision-makers .
• Participates in crafting products and innovative solutions that will provide revolutionary change.
• Participates in special projects requiring advanced quantitative expertise.

 

Required Skills, Knowledge & Abilities

• Experience in merging, cleaning, and preparing data for analysis from multiple sources
• Experience in extracting meaningful information from data using visualization and by formulating and testing hypotheses. 
• Proficiency with SQL and programming experience in R or Python
• Proficiency with classical Generalized Linear Models, statistical inference, and re-sampling methods.
• Proficiency in Linux 
• Practical experience with version control (git, SVN)
• Strong analytical, problem solving and critical thinking skills 
• Attention to detail and accuracy of work, ability to spot and correct issues 
• Strong interpersonal and communication skills
• Strong writing skills, including writing coherent documentation and reports
• Drive to continuously improve and learn new tools and methods
• Ability to work collaboratively with colleagues with diverse perspectives and backgrounds
• Strong time management skills
• Capable of operating with little supervision and thinking independently and innovatively


Preferred Skills, Knowledge & Abilities

• Practical experience with distributed computing (e.g., Apache Spark)
• Experience developing packages in R or Python
• Experience with natural language processing 
• Knowledge of insurance 
• Experience in building machine learning models

 

Reporting Relationship
AVP or above


Education & Experience
Advanced degree in a quantitative discipline, with relevant work experience preferred.

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Technology we use

  • Engineering
  • Product
  • Sales & Marketing
    • .NETLanguages
    • JavaLanguages
    • JavascriptLanguages
    • KotlinLanguages
    • PerlLanguages
    • PythonLanguages
    • RLanguages
    • SqlLanguages
    • jQueryLibraries
    • jQuery UILibraries
    • ReactLibraries
    • AngularJSFrameworks
    • Node.jsFrameworks
    • SpringFrameworks
    • AccessDatabases
    • DB2Databases
    • Microsoft SQL ServerDatabases
    • MySQLDatabases
    • OracleDatabases
    • PostgreSQLDatabases
    • Google AnalyticsAnalytics
    • ConfluenceManagement
    • JIRAManagement
    • Microsoft ProjectManagement
    • SalesforceCRM
    • SendGridEmail
    • MarketoLead Gen

Location

Located in the heart of the loop, CNA’s headquarters are at 151 N Franklin. With close proximity to both L and Metra stations.

What are CNA Perks + Benefits

Culture
Volunteer in local community
Partners with Nonprofits
Open door policy
Group brainstorming sessions
Open office floor plan
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability Insurance
Dental Benefits
Vision Benefits
Health Insurance Benefits
Life Insurance
Wellness Programs
Retirement & Stock Options Benefits
401(K)
401(K) Matching
Company Equity
Employee Stock Purchase Plan
Performance Bonus
Child Care & Parental Leave Benefits
Generous Parental Leave
Flexible Work Schedule
Family Medical Leave
Adoption Assistance
Vacation & Time Off Benefits
Generous PTO
Paid Holidays
Paid Sick Days
Perks & Discounts
Relocation Assistance
Professional Development Benefits
Job Training & Conferences
Tuition Reimbursement
Diversity Program
Lunch and learns
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