Data Scientist II

Kelly Services; Toronto; Hybrid; CAD 62,000 - 76,000; Full time

Benefits offered by this job

Statutory Vacation

Holiday Pay

Job summary

Motion Recruitment Partners is seeking a Data Scientist, Business Information Management Analyst, for a six-month engagement in the Toronto area. The role emphasizes Python, SQL, machine learning, model governance, Databricks and PySpark, with a focus on fraud prevention and enterprise model governance.

Hybrid work arrangement (two days onsite) in Toronto or Markham, offering exposure to third-party model reviews and governance processes within a leading financial institution.

Qualifications

• Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science or related field.
• 2+ years analytics, data science, model governance or financial crime analytics experience.
• Strong Python and SQL skills.
• Practical understanding of machine learning methodology.

Responsibilities

• Work with Python, SQL, Databricks and PySpark to analyze data and build workflows.
• Evaluate third-party ML models for identity verification and fraud-related tasks.
• Communicate findings clearly to stakeholders and document governance aspects.
• Collaborate with team across analytics, risk, and compliance functions.

Skills

Python

SQL

Machine learning

Anomaly detection

Classification

Regression

Ensemble methods

Education

Bachelor's or Master's degree

Tools

Databricks

PySpark

Job description

$45 - $55

Toronto or Markham hybrid (two days onsite), this opportunity is with a leading financial institution. The team is seeking a Data Scientist, specifically a Business Information Management Analyst, for an initial six-month engagement with the possibility of extension. The role focuses on Python, SQL, machine learning methodology, model performance analysis, model governance, Databricks and PySpark.

The main feature of this opportunity is the chance to work at the intersection of data science, fraud prevention and enterprise model governance without being limited to routine data manipulation or model building. You will evaluate third-party machine learning models that help verify customer identity, translate complex technical documentation into clear internal standards, and present your findings to stakeholders. This is an excellent opportunity for a quantitatively strong analyst who enjoys understanding how models work, challenges their performance and communicates technical concepts clearly.

Contract Duration: 6 months (extension possible)

Required Skills & Experience

• Bachelors or Masters degree in Data Science, Statistics, Mathematics, Computer Science or a related field
• 2+ years of experience in analytics, data science, model governance, model risk, fraud analytics or financial crime analytics
• Strong Python and SQL skills
• Practical understanding of machine learning methodology
• Experience with classification, regression, ensemble methods and anomaly detection

Desired Skills & Experience

• Experience with Databricks and PySpark
• Exposure to model validation, model risk management, compliance or audit
• Banking, financial services or other regulated-industry experience
• Familiarity with customer identity verification, fraud detection or access management models

What You Will Be Doing

Tech Breakdown

• 40% Python, SQL, Databricks, and PySpark
• 35% Machine learning
• 25% Model documentation, governance and third party vendor model review

Daily Responsibilities

• 35% Hands On Duties
• 25% Management Duties
• 40% Team collaboration

The Offer

You will receive the following benefits:

• Statutory Vacation
• Holiday Pay

Motion Recruitment Partners (MRP) is an Equal Opportunity Employer. All applicants must be currently authorized to work on a full-time basis in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP’s Employment Accommodation policy. Applicants need to make their needs known in advance.