Knights of Columbus

Data Scientist

• Support end-to-end delivery of AI solutions: participate in problem framing, exploratory analysis, model development, and measurement of outcomes
• Develop and validate machine learning models under guidance (e.g., classification/regression, time series, anomaly detection, NLP as appropriate)
• Contribute to GenAI solutions by building and improving Retrieval-Augmented Generation (RAG) components (document preparation, chunking, metadata, and retrieval testing) and prompt templates following established patterns
• Perform data analysis and feature engineering: data quality checks, joins, transformations, leakage checks, and creation of reusable features
• Define and track model/LLM quality metrics with support (e.g., accuracy, calibration, stability; groundedness/factuality for LLM outputs), and help maintain evaluation datasets and test cases
• Assist with explainability and documentation: summarize model behavior, limitations, and key drivers; contribute to model cards and audit-ready artifacts
• Work with data engineers and platform teams to operationalize solutions: support pipeline integration, scheduling, monitoring, and troubleshooting
• Apply responsible AI practices: follow privacy/security requirements, handle sensitive data appropriately, and participate in bias/fairness reviews
• Communicate findings clearly: prepare concise readouts, visuals, and recommendations for technical and non-technical audiences

Applied AI, Data Scientist

• Develop and deploy advanced statistical, machine learning, and AI models supporting insurance, actuarial, claims, and investment decision-making.
• Design and deliver LLM-enabled analytics and Deep Research solutions, including RAG-based approaches over structured and unstructured data.
• Perform hands-on data analysis, feature engineering, and model development using enterprise platforms (Snowflake, PostgreSQL, DB2).
• Define model success metrics, validation approaches, and explainability standards aligned to business and regulatory expectations.
• Partner with data engineers and architects to produce models, establish monitoring, and manage model lifecycle and drift.
• Apply responsible AI practices including bias assessment, transparency, and documentation for audit and compliance review.
• Communicate analytical insights and model outcomes clearly to business leaders and technical stakeholders.
• Collaborate across analytics, engineering, risk, and compliance teams to ensure scalable, governed AI and analytics delivery.

Director of Applied AI, Data Science

Customer Success Manager

• Develop, implement, and maintain a wide variety of CRM deployments across multiple environments
• Provide production support for MS Dynamics/CRM applications
• Update/Support Microsoft Powerautomate Cloud Flows
• Update/Support Microsoft Azure Function Apps
• Update/Support Microsoft Azure Logic Apps
• Support Development of Proof of Concepts (PoCs) to test new functionalities
• Develop, test, and implement D365 PowerAutomate and related Cloud Flows
• Develop, test, and implement custom features and processes in Microsoft Dynamics
• Participate in business case creation and estimation of work
• Recommend and implement best practices for KofC
• Consult with business to modernize business processes by leveraging Powerautomate, Azure Functions and Logic Apps
• Assist in communicating new features released to users
• Create and maintain application solution documentation
• Assist in writing user guides for newly developed apps
• Monitor and troubleshoot performance or other issues when needed
• On-call and/or after-hours work required

CRM Engineer – Contract

Translator

• Assist with the migration of all French-language website content
• Ensure accuracy, completeness, functionality and brand alignment
• Conduct linguistic quality assurance, functional testing and user acceptance testing for French-language web pages
• Ensure compliance with Knights of Columbus French (Canada) style guidelines and approved terminology
• Identify content gaps, inconsistencies and opportunities to adapt, co-create and refine French-language content
• Collaborate with UI/UX and SEO teams
• Track and report on migration progress, quality metrics, risks and remediation plans to leadership

Applied AI, Data Scientist

Director of Applied AI, Data Science

CRM Engineer – Contract

Digital Content and Localization Specialist, French Canadian