An individual contributor role that provides a high level of leadership and expertise in building Artificial Intelligence and Machine Learning (AI & ML) platforms and enabling AI/ML solutions for financial services and insurance. With a focus on accountability and integrity, this role will take initiative to deliver high-quality solutions that meet the business needs of CNA. The role will be responsible for developing data into usable information to create automated analytics solutions.

• Builds out AI & ML capabilities in conjunction with data scientists and other key stakeholders to drive business value.
• Productionizes and operationalizes predictive models which leverage 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.

• 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, with knowledge of object-oriented design principles for larger-scale development
• Experience with Kubeflow, Airflow or other workflows; Docker containerization; and managed Kubernetes systems
• 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.

• 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.
• At least 1-2 years of experience developing, testing, and deploying larger scale software solutions.
• 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.