Technology

AML Data Scientist

Motion Recruitment Partners, LLCToronto, ON🇺🇸United StatesPosted Oct 13, 2026

Why This Role Stands Out

This hybrid role offers a fantastic opportunity to deepen your expertise in AML and financial crime by leading critical transaction monitoring initiatives, building sophisticated machine learning models with cutting-edge tools like Python and Databricks. You'll thrive here if you are a seasoned data scientist eager to innovate, own your projects, and contribute to a high-impact team within a reputable financial services organization, with potential for long-term growth.

Quick Overview

Seniority

Mid Senior

Work mode

Hybrid

Location

Toronto, ON, United States

Posted

Yesterday

SQLScalaMachine LearningTableauAzureDatabricksJavaPython

Job Description

Our client, a large financial services organization, is hiring a Senior Data Scientist (AML) for a 6-month contract in Toronto, ON (hybrid). You'll join a data science team focused on anti-money laundering (AML) transaction monitoring, building and tuning machine learning models with Python, PySpark, Databricks, Azure and SQL. The role may be extended or converted to permanent, depending on business needs and performance.
This is a senior, hands-on role with a lot of room to explore. You'll be the analytics lead on transaction monitoring work: building risk scoring and customer behaviour models, tuning detection scenarios, and coming up with new data-driven ways to catch financial crime. If you're a strong ML practitioner who wants to build deep AML and financial crime knowledge, this role is a good way to get it. They're looking for someone who likes owning their work, brings their own ideas, and does their best work as part of a team.
Contract Duration: 6 Months (extensuon and conversion possible)
Required Skills & Experience

8+ years of experience in data science, advanced analytics or a related field
Bachelor's degree or higher in Statistics, Computer Science, Software Engineering or a related field
Extensive experience building predictive models with machine learning methods
Expert knowledge of Python, PySpark, Databricks, Azure and SQL
Expert data exploration and analysis skills
Proven ability to apply statistical techniques and data mining tools to solve business problems

Desired Skills & Experience