Data Scientist at Continental Casualty Company in Chicago, Illinois

Job Description:

Description

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.

*LI-KC1

Job

Information Systems

Primary Location

United States-Illinois-Chicago

Organization

Technology Executive

Job Posting

Apr 19, 2021

Unposting Date

Ongoing

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