AML Data Scientist

Toronto, ON, Canada

$84 to $92 USD / hour · Contract

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Job details

Pay: $84 to $92 USD / hour
Job type: Contract
Apply by: Nov 12, 2026
Experience: 8+ years of experience in data science, advanced analytics or a related field
Posting language: English
Posted: Oct 13, 2026

Original 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

Master’s degree in a quantitative field
Databricks, programming or statistics certifications
Java, Scala and/or Tableau
AML, transaction monitoring or financial crime experience
Banking or financial services experience

What You Will Be Doing

Tech Breakdown

35% Python / PySpark
25% Databricks / Azure
20% SQL
20% Machine Learning & Statistical Modelling

Daily Responsibilities

60% Hands On
10% Management Duties
30% Team Collaboration

Current Vacancy: Yes

Use of AI in hiring: Yes

Posted By: Emma Borges

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More about this job

Responsibilities

Lead analytics for AML transaction monitoring by building risk-scoring and customer behavior models, tuning detection scenarios, and developing data-driven approaches to identify financial crime. Work hands-on with Python, PySpark, Databricks, Azure, SQL, and machine learning while collaborating with the data science team.

Requirements

Requires 8+ years of experience in data science, advanced analytics, or a related field, plus a bachelor’s degree or higher in a relevant discipline. Candidates should have extensive machine learning modeling experience, expert knowledge of Python, PySpark, Databricks, Azure, and SQL, and strong statistical, data exploration, and data mining skills; AML or financial services experience is desired.

Skills

Python
PySpark
Databricks
Azure
SQL
Machine Learning
Predictive Modeling
Statistical Modeling
Data Exploration
Data Mining
Anti-Money Laundering
Transaction Monitoring
Risk Scoring
Customer Behavior Modeling
Financial Crime Analytics

Visa sponsorship

Not detected in the job text

Hiring contact

Emma Borges

Keywords

Anti-Money Laundering
AML
Transaction Monitoring
Financial Crime
Data Science
Advanced Analytics
Machine Learning
Predictive Modeling
Risk Scoring
Customer Behavior Modeling
Detection Scenarios
Statistical Techniques
Data Mining
Data Exploration
Python
PySpark
Databricks
Azure
SQL
Java
Scala
Tableau
Banking
Financial Services
Statistics

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