CNA Financial

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. 

CNA seeks to offer a comprehensive and competitive benefits package to our employees that helps them — and their family members — achieve their physical, financial, emotional and social wellbeing goals.

For a detailed look at CNA’s benefits, check out our Candidate Guide.

An individual contributor role that provides a high level of leadership and expertise in building Artificial Intelligence and Machine Learning (AI & ML) platforms and solutions for financial services and insurance. The role will be responsible for developing data into usable information to create automated analytics solutions.

JOB DESCRIPTION:

Essential Duties & Responsibilities

Performs a combination of duties in accordance with departmental guidelines:

• Builds out AI & ML capabilities in conjunction with data scientists and other key stakeholders to drive business value.
• Productionizes and operationalizes predictive models leveraging machine learning and advanced data analysis techniques.
• Designs and builds data science platforms and model deployment pipelines to scale AI & ML engines in a cloud environment.
• Delivers well-styled, well-tested, and maintainable code in Python, R or Java.
• Cultivates innovation by proactively proposing new ideas to deliver business value more effectively.
• Identifies the right combination of tools and frameworks to turn a business problem into an analytics solution.
• Maintains professional and technical knowledge by attending educational workshops; reviewing professional publications; establishing personal networks; participating in professional societies. Supports the evolution of CNA application development processes and standards.

May perform additional duties as assigned.

Reporting Relationship

Typically Director or above

Skills, Knowledge & Abilities

• Strong experience rapidly deploying AI & ML solutions to production in a DevOps environment. Expertise in building machine learning platforms and data pipelines at scale.
• Strong coding fluency in Python, R, or Java. Experience with Kubeflow, Airflow or other workflows and Docker containerization. Experience with large data sets and distributed computing (Spark).
• Strong interpersonal and communication skills. Ability to articulate workflows and ability to describe the logic and implications of a complex model to non-technical audiences.
• Proficient in data visualization tools (e.g., Looker, Power BI).
• Proficient in data preprocessing and cleaning techniques. Ability to create compelling visualizations to communicate insights.
• Strong data analytical skills. Familiar with major machine learning algorithms.
• Solid experience managing diverse data sources, including preprocessing, cleansing, and verifying the integrity of data to develop data marts for data science use cases and machine learning applications.
• Strong interpersonal skills; ability to work independently as well as in a team and a highly matrixed environment.
• Experience in cloud computing platforms. Google Cloud Platform preferred.

Education & Experience

• Bachelor’s Degree in Computer Science, Engineering, Mathematics, Computational Statistics, Data Science or related technical field or equivalent; Master’s Degree preferred.
• Typically 5+ year’s work experience in Artificial Intelligence or Machine Learning.
• Experience in machine learning, deep learning, information retrieval, natural language processing or data mining preferred.
• Experience in ETL/ELT and Data visualization
• Applicable certifications preferred.

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