Data Science Analytics Consultant Cna Insurance
Chicago, IL

Job Description

Job Summary

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 to build state-of-the-art predictive models for the pricing, underwriting, administration, and marketing of an exciting mix of commercial insurance products.

Essential Duties & Responsibilities

1. 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.

2. Designs, writes, and tests advanced computer programs to extract, visualize and analyze data, to build models, and to support model deployment into production.

3. Interprets the results of models in business terms and communicates the contents of the models to business decision-makers.

4. Participates in crafting products and innovative solutions that will provide revolutionary change.

5. 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 and a sense of urgency
* 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 and deploying machine learning models and deep learning models

Reporting Relationship

AVP or above

Education & Experience

Advanced degree in a quantitative discipline, with relevant work experience preferred; or

Bachelor's degree and at least two years' relevant work experience, with four years preferred.

* LI-LN1

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