Job Description
Our client is seeking a Data Scientist to support a strategic initiative focused on modernizing and migrating existing SAS-based analytics processes into Python. This individual will serve as a Python subject matter expert, helping guide technical design decisions, translate legacy workflows, and support a team navigating a large-scale code migration effort.
Responsibilities Convert existing SAS programs, scripts, and analytical workflows into scalable Python solutions
Partner with existing team members to understand current SAS-based processes and determine the optimal Python design and implementation approach
Interpret, design develop, test, and document Python code for analytics and data processing use cases
Refactor and modernize legacy code bases while maintaining functionality and performance
Support data engineering activities, including querying and transforming data using SQL
Participate in code reviews and contribute to development standards and documentation
Collaborate with project managers, developers, analysts, and business stakeholders to ensure successful delivery
Mentor and coach team members as they increase their Python capabilities
Help validate migrated solutions and ensure outputs are consistent with legacy processes
Skills and Requirements 5+ years of experience working with Python and SAS including scripting and data processing
Demonstrated experience migrating, modernizing, or refactoring legacy applications or code bases
Experience using Anaconda for package and environment management
Strong SQL skills,



including writing queries involving joins, filtering, aggregations, and data transformations
Experience working with large datasets and data processing workflows
Strong troubleshooting and problem-solving abilities
Excellent verbal and written communication skills
Ability to work independently and navigate ambiguity within evolving project requirements
Previous experience acting as a technical lead, SME, mentor, or coach within a development team
Linux/Bash experience
Experience with server-side job scheduling tools such as Crontab
Experience with secure file transfer processes (SFTP)
Fraud analytics, forensic analytics, AML, risk, or financial services experience
Banking industry experience
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment chance/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].

#J-18808-Ljbffr

📌 SAS Data Scientist (Ontario)
🏢 Insight Global
📍 Ontario