Data Science Director -INF0001ZG
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
• Advanced experience working with R or Python
• Proficiency with classical Generalized Linear Models, statistical inference, and re-sampling methods
• Deep expertise in applying statistical and machine learning methods to solve complex problems using structured and unstructured data
• 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
• Ability to interpret algorithm results and communicate insights to technical and non-technical audiences
• Strong time management skills
• Capable of operating with little supervision and thinking independently and innovatively
• Proven experience in coming up with creative analytical approaches demonstrated through impactful business solutions or academic publications
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
• Experience with using C++ for advanced algorithm implementation
• Experience with Machine Learning Model Interpretation methods
• Experience in working with data and tools to design processes in a cloud environment, preferably Google Cloud Platform
• Ability to develop packages in R or Python
•Knowledge of insurance
• Ability to develop a deep understanding of the underpinnings of advanced algorithms while using their own expertise to create new solutions for business problems across CNA
• Ability to update and improve existing data science proprietary tools to incorporate new features
• Ability to implement creative quantitative solutions into high quality, reusable and well documented code libraries
• Ability to collaborate with Technology to rapidly prototype algorithms and code for proof-of-concept demonstrations to advance our cloud analytical capabilities.
• Ability to communicate research findings and solutions in a clear manner and participate in training other data scientists in using the newly developed tools
• Ability to advance the data science capabilities at CNA and contribute to the team’s intellectual capital
• Ability to champion the use of data science to drive change and to provide superior decision support
Reporting Relationship
Director or AVP
Education and Experience
1. Advanced degree (Masters / PhD) in a quantitative discipline such as Statistics, Computer Science, Applied Mathematics, Operational Research
2. Typically a minimum of 10 years of statistical modeling or related work experience.
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