Sr. Data Scientist

CNA

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profile Job Location:

Chicago, IL - USA

profile Yearly Salary: $ 72000 - 141000
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

You have a clear vision of where your career can go. And we have the leadership to help you get there.At CNA we strive to create a culture in which people know they matter and are part of something important ensuring the abilities of all employees are used to their fullest potential.

This position works a hybrid schedule from the CNA Chicago office (151 N Franklin St.) with a focus on professional development!

CNAs Long Term Care (LTC) business unit is not your typical slow moving insurance company; we have the resources of a large company behind us and operate with a start-up mindset. With a team of over 50 across multiple insurance disciplines of Operations Claim Anti-Fraud Finance Actuarial and Data Analytics we move quickly and have clear insight into how we make an impact. With approximately $14b in reserves serving 300k policyholders CNAs LTC business is an important strategic priority for CNA.

This is an exciting opportunity to leverage advanced Data Science Machine Learning and AI to solve business critical problems. Come work in a highly collaborative environment with key internal and external business partners to support the Data Analytics initiatives associated with CNAs Long Term Care business. Use your technical strengths detail-oriented mindset and strong communication abilities to create change while being a steward of the business.

JOB DESCRIPTION:

Essential Duties & Responsibilities

Performs a combination of duties in accordance with departmental guidelines:

  • Lead and execute data science projects that address complex business problems in theLong Term Care (LTC)insurance and life sciences domains.

  • Develop and implementpredictive prescriptive and simulation modelsusing advanced statistical mathematical and machine learning techniques.

  • Applyprobability theory statistical inference and optimization methodsto support strategic decision-making and risk assessment.

  • Define project scope methodology and execution plansfrom ideation to deployment and post-implementation review.

  • Lead and execute projects both independently and in collaboration with internal teams and external consultants.

  • Transform raw complex datasets into actionable insights that drive business value and operational efficiency.

  • Usedata storytellingto communicate findings clearly to both technical and non-technical stakeholders.

  • Partner with actuarial claims product and IT teams to align analytics initiatives with business goals.

  • Design and develop interactive dashboards scorecards and reports usingPower BI Tableau Excel or other tools.

  • Track and visualize key metrics to support business reviews forecasting and performance management.

  • Stay current with emerging tools technologies and methodologies in data science AI and insurance analytics.

  • Mentor junior data scientists and analysts fostering a culture of continuous learning and innovation.

Reporting Relationship

Reports to: Director or above

Skills Knowledge & Abilities

  • Deep understanding ofinsurance operations especially inLong Term Careor related health/life insurance domains.

  • Strong foundation inmathematics probability theory statistics and econometrics.

  • Proficiency inExcel Python R and/or MATLABfor statistical computing and modeling.

  • Experience withSQLand working with large complex datasets.

  • Working knowledge inmachine learning time series forecasting survival analysis and/orBayesian methods.

  • Strong communication and presentation skills including the ability to explain technical concepts to non-technical audiences.

  • Demonstrated ability to manage multiple projects prioritize tasks and deliver results in a fast-paced environment.

  • Familiarity withcloud platforms(e.g. AWS Azure GCP) andversion control(e.g. Git) is a plus.

Education & Experience

  • Bachelors or Masters degree inMathematics Statistics Data Science Actuarial Science Economics or a related quantitative field.

  • 5-8 yearsof relevant experience in data science or analytics roles.

  • Insurance industry experience highly preferred specifically within the Long-Term Care Life or Health insurance space.

#LI-ED1
#LI-Hybrid

In certain jurisdictions CNA is legally required to include a reasonable estimate of the compensation for this District of Columbia California Colorado Connecticut Illinois Maryland Massachusetts New York and Washington the national base pay range for this job level is $72000 to $141000 determinations are based on various factors including but not limited to relevant work experience skills certifications and location. CNA offers a comprehensive and competitive benefits package to help our employees and their family members achieve their physical financial emotional and social wellbeing goals. For a detailed look at CNAs benefits please visit.

CNA is committed to providing reasonable accommodations to qualified individuals with disabilities in the recruitment process. To request an accommodation please contact.


Required Experience:

Senior IC

You have a clear vision of where your career can go. And we have the leadership to help you get there.At CNA we strive to create a culture in which people know they matter and are part of something important ensuring the abilities of all employees are used to their fullest potential.This position wo...
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Key Skills

  • Laboratory Experience
  • Immunoassays
  • Machine Learning
  • Biochemistry
  • Assays
  • Research Experience
  • Spectroscopy
  • Research & Development
  • cGMP
  • Cell Culture
  • Molecular Biology
  • Data Analysis Skills

About Company

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CNA provides insurance solutions to more than 1 million businesses and professionals worldwide. With more than 100 years of industry experience, CNA has earned a reputation as one of the most trusted commercial insurance companies in the business. We’re a powerful legacy built on expe ... View more

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