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Data Scientist

  • Toronto, ON, Canada

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Job type
Contract
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Posting language
English
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Original job description

Data Scientist – Python/SAS Migration

On behalf of our Banking client, Procom is searching for a Data Scientist – Python/SAS Migration for an 8-month role. This position is a hybrid position with 4 days onsite at our client’s Toronto office.

Data Scientist – Python/SAS Migration - Job Description:

The project involves leading the strategic migration of legacy SAS applications to a modern Python-based ecosystem. The role focuses on code conversion, ensuring logic accuracy, and optimizing code for performance within the new platform.

Data Scientist – Python/SAS Migration - Responsibilities:

  • Translate existing SAS scripts into Python for critical deliverables including IFRS9 Model, Risk Campaigns, and Reporting and Analytics.
  • Ensure logic accuracy and functional equivalence, optimizing code for performance and maintainability in the Python environment.
  • Execute simultaneous runs of legacy SAS and new Python processes to verify identical outputs and mitigate transition risks.
  • Leverage advanced data mining techniques and statistical modeling methodologies to extract, analyze, and validate complex datasets.
  • Create comprehensive data dictionary and establish end-to-end data lineage, documenting data origin, transformation, and movement throughout its lifecycle.

Data Scientist – Python/SAS Migration - Mandatory Skills:

  • Bachelor’s Degree
  • Advanced SAS and Python expertise
  • Proven SAS-to-Python migration experience
  • Excellent technical documentation and communication abilities
  • Proficiency in data profiling, validation, and quality assurance
  • Data lineage mapping and data dictionary development expertise
  • Strong understanding of IFRS9 modeling and credit risk analytics

Data Scientist – Python/SAS Migration – Nice-to-Have Skills:

  • Master’s degree or equivalent in statistical background
  • Financial institution background
  • Parallel testing and validation capabilities
  • Experience with regulatory compliance and auditability
  • Accessible, Teamwork, Problem-Solving, Communication

Data Scientist – Python/SAS Migration – Assignment Length:

This is an 8-month contract position.

Data Scientist – Python/SAS Migration - Start Date:

ASAP

Data Scientist – Python/SAS Migration - Assignment Location:

Toronto, Ontario, Canada. This position is hybrid with 4 days per week in the office.

More about this job

Responsibilities

Migrate legacy SAS applications to Python, preserving logic and functional equivalence while improving performance and maintainability. Run SAS and Python processes in parallel to validate outputs, analyze complex datasets, and document data definitions and lineage.

Requirements

A bachelor’s degree, advanced SAS and Python expertise, and proven SAS-to-Python migration experience are required. Candidates should also have strong documentation and communication skills, data profiling and validation expertise, data lineage experience, and knowledge of IFRS 9 modeling and credit risk analytics.

Skills

  • SAS
  • Python
  • SAS-to-Python Migration
  • IFRS 9 Modeling
  • Credit Risk Analytics
  • Statistical Modeling
  • Data Mining
  • Code Conversion
  • Data Profiling
  • Data Validation
  • Quality Assurance
  • Data Lineage
  • Data Dictionary Development
  • Parallel Testing
  • Technical Documentation
  • Regulatory Compliance

Visa sponsorship

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Categories

  • Data & Analytics
  • Technology
  • Finance & Accounting
  • Science & Research

Keywords

  • SAS
  • Python
  • SAS-to-Python Migration
  • IFRS 9
  • Credit Risk Analytics
  • Risk Campaigns
  • Reporting and Analytics
  • Code Conversion
  • Functional Equivalence
  • Performance Optimization
  • Maintainability
  • Parallel Testing
  • Data Mining
  • Statistical Modeling
  • Complex Datasets
  • Data Profiling
  • Data Validation
  • Quality Assurance
  • Data Dictionary
  • Data Lineage
  • Data Transformation
  • Regulatory Compliance
  • Auditability
  • Financial Institution
  • Technical Documentation

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