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Added 7 days ago
W
Data Developer III
Walmart
Mississauga, ON
- Full-time
Advanced Python and Spark skills with no less than 2 years of experience
Added 7 days ago
AC
Analyste De La Chaîne D'Approvisionnement | Supply Chain Analyst
Aston Carter
Longueuil, QC
- $42 to $48 CAD / hour
- Contract
We are seeking a highly analytical and technology-driven Supply Chain Analyst to support the Strategic Procurement organization. This role focuses on enabling data-driven decision-making,…
Added 7 days ago
AI
Python Developer
Apptoza Inc.
Toronto, ON
- Full-time
Profile unfamiliar client data using Python, pandas, PySpark, and SQL to assess coverage, quality, volumes, distributions, edge cases, and feasibility.
Added 7 days ago
RI
Senior Forward Deployed Engineer - Java/ Python | Capital Markets
Rose International
Mississauga, ON
- Full-time
Expert-level proficiency in Java (Core Java, Java 17+, Spring Boot, Spring Framework, microservices, REST/gRPC APIs) and/or strong production experience in Python 3.x (FastAPI,…
Added 7 days ago
AD
Researcher - Product Innovation, Global R&D
ArcelorMittal Dofasco
Hamilton, ON
- Full-time
At ArcelorMittal Dofasco, we’re more than makers of steel. We’re nation builders. Our products help move, feed, build and protect Canada, from coast to coast to coast, today and into the…
Added 7 days ago
JG
Data AI Engineer
J&M Group
Markham, ON
- Full-time
We are seeking an experienced AI/ML Developer to design, develop, and deploy machine learning and generative AI solutions. The ideal candidate should possess strong expertise in Python,…
Added 7 days ago
T
Manager, Engineering
TD
Toronto, ON
- Full-time
TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at…
Added 7 days ago
Safe Mobility Analyst
City of Edmonton
AB
Familiarity with use of relational databases and use of scripting languages (SQL, python)
Added 7 days ago
T
Data Scientist III
TD
Toronto, ON
- Full-time
Proficiency in Python and SQL, with experience using common data and machine-learning libraries and working in Databricks or a comparable cloud analytics platform.
Added 7 days ago
M
Senior AI Engineer, Big Data & AI Solutions
Mastercard
Vancouver, BC
- Full-time
Proficiency in Python, PySpark, SQL, and distributed data processing.
Added 7 days ago
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Senior Accountant
Xanadu
Toronto, ON
- Full-time
Xanadu’s mission is to build quantum computers that are useful and available to people everywhere.
Added 7 days ago
K
Software Engineer
Kelly
Mississauga, ON
- Contract
Role Overview: Senior Forward Deployed Engineer with strong Java and Python expertise to build and deploy production-grade solutions for Fintech clients in the Spread Products domain. This…
Added 7 days ago
AI
Python Developer -Forward Deployed, Pyspark
Apptoza Inc.
Toronto, ON
- Contract
Profile unfamiliar client data using Python, pandas, PySpark, and SQL to assess coverage, quality, volumes, distributions, edge cases, and feasibility.
Added 7 days ago
AG
Senior Analyst, Marketing Science
Adelphi Group
Toronto, ON
- Full-time
You can build and run a linear regression model in Excel or Python and are able to explain things such as R square, P-value, or regression coefficients to an audience that has no background…
Added 7 days ago
T
Data Integration Engineer
TekRek
Canada
- Contract
…from finding them to running them in production. You’ll write Python to automate the routine work, and you’ll be the person who keeps business, platform and support teams aligned. It suits…
Added 7 days ago
AI
Forward Deployed Engineer (Python/Pyspark Developer)
Apptoza Inc.
Toronto, ON
- Contract
Profile unfamiliar client data using Python, pandas, PySpark, and SQL to assess coverage, quality, volumes, distributions, edge cases, and feasibility.
Added 7 days ago
JG
Technical Architect / Senior Developer – RPA & Automation
J&M Group
Toronto, ON
- Full-time
We are seeking a Technical Architect / Senior Developer RPA & Automation to design, develop, maintain, and enhance enterprise automation solutions. The role will focus on UiPath, Microsoft…
Added 7 days ago
FC
Actuarial Associate - Pricing
First Canadian Financial Group
Sherwood Park, AB
- Full-time
Advanced proficiency in Excel and at least one analytical or programming language such as SQL, R, Python, SAS, or VBA
Added 7 days ago
UO
Programmer Analyst II
University of British Columbia
Vancouver, BC · UBCV | The Leonard S. Klinck Building (LSK)
- $8,810.92 to $13,202.5 CAD / month
- Full-time
AAPS Salaried - Information Systems and Technology, Level D
Added 7 days ago
UO
Programmer Analyst II
University of British Columbia
Vancouver, BC · UBCV | The Leonard S. Klinck Building (LSK)
- $8,810.92 to $13,202.5 CAD / month
- Full-time
AAPS Salaried - Information Systems and Technology, Level D
Added 7 days ago
T
Software Engineer III
TD
Toronto, ON
- Full-time
TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at…
Added 7 days ago
T
Software Engineer II
TD
Toronto, ON
- Full-time
TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at…
Added 7 days ago
M
Senior Analyst, Private Corporate Credit
Morningstar
Toronto, ON
- Full-time
Design, develop, and maintain data structures and analytical tools using Excel, Python, SQL, and other platforms to support financial research, quantitative analysis, and ongoing credit…
Added 7 days ago
S
Data Scientist
SymphonyAI
Toronto, ON
- Full-time
SQL and database experience with Oracle, DB2, SQL Server, Postgres, or similar platforms.
Added 7 days ago
Researcher - Product Innovation, Global R&D
ArcelorMittal
Hamilton, ON
At ArcelorMittal Dofasco, we’re more than makers of steel. We’re nation builders. Our products help move, feed, build and protect Canada, from coast to coast to coast, today and into the…

SymphonyAI

Data Scientist

Toronto, ON, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Apply by: Oct 27, 2027
Experience: 3 to 7 years of data science or machine learning experience, including 2 or more years in financial services.
Posting language: English
Posted: Oct 27, 2026

Original job description

Introduction

About SymphonyAI Financial Services

SymphonyAI Financial Services is on a mission to make the financial system safer. We combine more than 25 years of financial crime expertise with advanced AI to help financial institutions detect risk, fight financial crime, and navigate an increasingly complex regulatory environment.

We are reimagining financial crime compliance around connected risk intelligence, agent led workflows, and embedded governance, helping institutions strengthen controls, reduce manual effort, and adapt as risks evolve.

About The Role

Better models lead to better decisions, stronger controls, and safer financial systems. That’s where you come in.

As a Data Scientist, you’ll own model development for defined financial crime use cases, from understanding client requirements and preparing data to building, evaluating, and deploying models into client workflows. You’ll work on challenges such as imbalanced alerts, model drift, and explainability while partnering with client compliance, risk, and technology teams.

You’ll also apply NLP, classification, and LLM-based approaches where they improve outcomes, and communicate results through workshops, pilots, and client presentations. This is a hands on role where you’ll own assigned use cases end to end, exercise sound judgment on model performance and risk, and help junior data scientists grow.

Job Description

Responsibilities

Own model development. Build, evaluate, and deploy models for assigned financial crime use cases, taking work from requirements through testing and client delivery.

Turn data into usable models. Analyze large datasets, prepare features, and apply sound statistical and machine learning methods to solve defined business problems.

Solve difficult modeling problems. Address imbalanced alerts, model drift, explainability, and performance issues through rigorous evaluation and judgment.

Apply AI where it adds value. Build NLP and classification solutions, including LLM based text analysis, while validating outputs for accuracy, explainability, and business relevance.

Make models understandable. Use explainability methods such as SHAP and LIME and clearly present model behavior, results, and limitations.

Partner with clients and teams. Work with client compliance, risk, and technology teams, as well as Data Engineering and delivery teams, on requirements, workshops, pilots, and production integration.

Deliver into client workflows. Support model deployment, monitoring, and integration so pilots can move into client production successfully.

Help others grow. Mentor junior data scientists and share practical modeling, evaluation, and delivery practices.

You may be a good fit if you have

3 to 7 years of data science or machine learning experience, including 2 or more years in financial services.

Strong model building and evaluation skills for financial services use cases, with a solid grounding in statistics and machine learning.

Strong Python skills with practical experience using Pandas, NumPy, scikit-learn, or similar tools in production quality work.

SQL and database experience with Oracle, DB2, SQL Server, Postgres, or similar platforms.

Explainability experience using methods such as SHAP and LIME to interpret and communicate model outputs.

Financial crime domain knowledge across AML, fraud, compliance workflows, or related areas.

Client-facing communication skills. You can lead workshops, present model results, and explain technical findings to compliance, risk, and technology stakeholders.

Delivery experience. You have delivered at least one model into a client workflow and can own a use case from requirements through pilot delivery.

An ownership mindset. You know when to resolve modeling challenges independently and when to escalate scope, architecture, or model risk decisions.

Strong candidates may also have

Experience with NLP, classification models, or LLM based text analysis.

Experience with vector databases and retrieval components.

Knowledge of AML, KYC, FATCA, or CRS.

Experience with Spark, orchestration tools, Kubernetes, Kubeflow, Dask, or RAPIDS.

Experience supporting model deployment, monitoring, and integration with data pipelines.

A master’s degree in a quantitative field such as computer science, mathematics, statistics, engineering, or physics.

Experience mentoring junior data scientists.

Curiosity about how AI can improve financial crime detection while maintaining explainability and responsible human oversight.

Diversity & Inclusion Statement:

We are committed to building a diverse and inclusive team and encourage candidates from all backgrounds to apply

About Us

SymphonyAI is building the leading enterprise AI SaaS company for digital transformation across the most critical and resilient growth industries, including retail, consumer packaged goods, financial crime prevention, manufacturing, media, and IT service management. Since its founding in 2017, SymphonyAI today serves 1500+ Enterprise customers globally and has grown to 3,000 talented leaders, data scientists, and other professionals across over 30 countries.

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More about this job

Responsibilities

You will own the end-to-end development, evaluation, and deployment of machine learning models for financial crime use cases. This involves collaborating with cross-functional teams to integrate models into client workflows and mentoring junior data scientists.

Requirements

The role requires 3 to 7 years of experience in data science or machine learning, with at least 2 years in the financial services sector. Candidates must possess strong Python and SQL skills, along with practical experience in model explainability and financial crime domain knowledge.

Skills

Data Science
Machine Learning
Python
SQL
Pandas
NumPy
Scikit-learn
Financial Crime
NLP
LLM
Model Development
Explainability
SHAP
LIME
Data Analysis
Risk Management

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
Financial Crime
Python
SQL
Pandas
NumPy
Scikit-learn
NLP
LLM
SHAP
LIME
AML
Fraud Detection
Compliance
Model Deployment
Data Engineering
Oracle
Postgres
Spark
Kubernetes
Kubeflow
Dask
RAPIDS
KYC
FATCA
CRS
Statistical Modeling
Risk Intelligence
SaaS

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