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Data Scientist

@ Mindlance

Toronto, Ontario

Contract
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SIGNALS

Responsibilities:

  • Convert SAS code to Python, ensuring functional equivalence, accuracy, and maintainability.
  • Perform parallel SAS/Python testing to validate identical outputs and mitigate migration risks.
  • Apply data mining and statistical modeling techniques to IFRS9 and risk datasets.
  • Develop data dictionaries and end-to-end data lineage documentation.
  • Support regulatory, audit, and enterprise governance requirements.
  • Provide training and knowledge transfer to permanent teams.

Requirements summary:

  • The role will focus on code conversion, parallel validation, data lineage, regulatory compliance, and knowledge transfer.
  • Support regulatory, audit, and enterprise governance requirements.
  • Provide training and knowledge transfer to permanent teams.
  • Must-Have Skills
  • Advanced SAS and Python with proven SAS-to-Python migration experience.
  • Strong IFRS9 modeling and credit risk analytics knowledge.
Source and dates

Source type not verified · apify-linkedin

Employer posting date
2026-11-09
First seen by our source
2026-11-11
Source record updated
2026-11-11

These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.

Mindlance

Saved company profile

Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.

mindfulness and balance

Full company description

Mindlance is a global Talent, Teams, Projects, and Workforce Solutions partner, serving leading enterprises across industries since 1999. With a 5,000 strong footprint across multiple countries, we deliver scalable, AI native solutions that help organizations build, optimize, and transform their workforce. Our capabilities include: • Talent Services: Contingent Staffing, Direct Sourcing, Perm / RPO • Teams: Managed Capacity, Global Remote Teams, and Early Talent Recruit Train Deploy • Projects: Outcome-based IT project solutions and BPO services • Workforce Solutions: Proprietary platforms for talent and workforce orchestration – leveraging enriched talent data, AI model training, and agentic automation Backed by 600+ specialized delivery experts and deep partnerships across MSP, enterprise workforce programs, and major data/cloud/software ecosystems, we also provide direct Managed SOW services with scalable teams and outcome based delivery. With ~$400M in annual revenue, Mindlance continues to grow through a mindful commitment to balance and to aligning people, performance, partnership, and purpose. SIA Recognitions: Largest U.S. Staffing Firms • Largest IT Staffing Firms • Largest Life Sciences Staffing Firms • Fastest Growing U.S. Staffing Firms • Largest Diversity Owned U.S. Staffing Firms Learn more at www.mindlance.com

LinkedIn followers
656,974
People associated on LinkedIn
2,311
Reported office locations
  • 1095 Morris Avenue, Unit 101A, Union, NJ 07083, US
  • 301 E Bethany Home Rd, Suite C189, Phoenix, Arizona 85012, US
  • 10679 Westview Pkwy, San Diego, California 92126, US
  • 100 S Murphy Ave, Sunnyvale, California 94086, US
  • 3825 Henderson Blvd, Suite 206, Tampa, Florida 33629, US
  • 7300 W 110th St, Suite 714, Overland Park, Kansas 66210, US
  • 10130 Perimeter Pkwy, Suite 229, Charlotte, North Carolina 28216, US
  • 8601 Six Forks Rd, Raleigh, North Carolina 27615, US
  • 2002 Renaissance Blvd, Suite 240, King of Prussia, Pennsylvania 19406, US
  • 13785 Research Blvd, Suite 125, Austin, Texas 78750, US
  • 1755 N Collins Blvd, Suite 535, Richardson, Texas 75080, US
  • 3 Sugar Creek Center Blvd, Suite 100, Sugar Land, Texas 77478, US
  • 1655 Fort Myer Dr, Suite 550, Arlington, Virginia 22209, US
  • 265 Rimrock Rd, Unit 1, Toronto, Ontario M3J 3C6, CA
  • EPIP Zone, 2nd Phase Whitefield, 3rd Floor, Plot No. 180 MFAR Silverline Tech Park, Bangalore, Karnataka 560066, IN
  • C-101, Sector 63, Noida, Uttar Pradesh 201301, IN
  • Sohna Road, Sector 48, Unit No. 213-214, 2nd Floor, Welldone Tech Park, Gurugram, Haryana 122004, IN
  • 18/2 Yeshwant Niwas Road, Prakriti Corporate, Indore, Madhya Pradesh 452001, IN
Other recorded names
  • Mindlance
Specialties
  • Technology Staffing
  • VLSI Staffing
  • Professional Staffing
  • Embedded Software Staffing
  • Digital / Creative Staffing
  • Scientific Staffing
  • Engineering / Validation Staffing
  • Office & Administrative Staffing
  • BPO
  • RPO
  • SOW - Technology
  • Global Payroll
  • Global EoR
  • Global AoR
  • and Recruit Train Deploy
Profile identifies a recruitment agency
Yes

Mindlance is a global Talent, Teams, Projects, and Workforce Solutions partner, serving leading enterprises across industries since 1999. With a 5,000 strong footprint across multiple countries, we deliver scalable, AI native solutions that help organizations build, optimize, and transform their workforce. Our capabilities include: • Talent Services: Contingent Staffing, Direct Sourcing, Perm / RPO • Teams: Managed…

FieldValue
IndustryStaffing and Recruiting
Company size1,001-5,000 employees
HeadquartersUnion, NJ
Organization typePrivately Held
Year founded1999
SpecialtiesTechnology StaffingVLSI StaffingProfessional StaffingEmbedded Software StaffingDigital / Creative StaffingScientific StaffingEngineering / Validation StaffingOffice & Administrative StaffingBPORPO
Open jobs on Jobsy5
LinkedInView page
Job description

Senior Data Scientist – SAS to Python Migration

Location: Toronto, ON

Duration: 6 Months

Job Role: We are seeking a Senior Data Scientist to lead the migration of critical SAS applications to a modern Python ecosystem, supporting IFRS9, credit risk, reporting, and analytics. The role will focus on code conversion, parallel validation, data lineage, regulatory compliance, and knowledge transfer.

Key Responsibilities

  • Convert SAS code to Python, ensuring functional equivalence, accuracy, and maintainability.
  • Perform parallel SAS/Python testing to validate identical outputs and mitigate migration risks.
  • Apply data mining and statistical modeling techniques to IFRS9 and risk datasets.
  • Develop data dictionaries and end-to-end data lineage documentation.
  • Support regulatory, audit, and enterprise governance requirements.
  • Provide training and knowledge transfer to permanent teams.

Must-Have Skills

  • Advanced SAS and Python with proven SAS-to-Python migration experience.
  • Strong IFRS9 modeling and credit risk analytics knowledge.
  • Data profiling, validation, QA, parallel testing, and reconciliation.
  • Data lineage and data dictionary development.
  • Strong documentation, communication, and delivery skills.
  • Post-conversion support and maintenance experience.

"We use AI in our Hiring Process"

Mindlance is an equal opportunity employer. We are committed to inclusive, equitable, barrier-free recruitment and selection processes, and work environment in accordance with the Accessibility for Ontarians with Disabilities Act (AODA). We will be happy to work with applicants requesting accommodation at any stage of the hiring process.

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