Jobs in Canada

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Added 13 days ago
TT
Bilingual Senior Integration Platform Engineer
Tech Talent International
Montreal, QC
- $130,000 to $140,000 CAD / year
- Full-time
Location: Hybrid - Montreal, QC -(2/3 days per week onsite)
Added 13 days ago
MI
Senior Full Stack Software Developer (.NET)
Maarut Inc
Toronto, ON
- Contract
The Senior Software Developer will support the Drug Formulary and Genomics team. Drug Formulary is a cancer drug and regimen resource for patients and healthcare professionals. It provides…
Added 13 days ago
S
Data Scientist
SymphonyAI
Toronto, ON
- Full-time
SQL and database experience with Oracle, DB2, SQL Server, Postgres, or similar platforms.
Added 13 days ago
M
Senior Full Stack Developer (Java/React)
Miratech
Toronto, ON
- Full-time
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 13 days ago
A
Senior Software Engineer - Market Data
Alpaca
Canada
- Full-time
…vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind…
Added 13 days ago
RI
Senior Full-Stack Java Developer (Front-Office / Capital Markets)
Rose International
Mississauga, ON
- Full-time
8+ years of professional software engineering experience, with demonstrable experience as a Full-Stack Developer transitioning into a Forward Deployed Engineer-style, customer-facing…
Added 13 days ago
YC
JEE Developer, senior
Yoush Consulting
Toronto, ON
- Full-time
…2012/2016/2019, .NET, VPN, PKI, LDAP, Oracle RDBMS (versions 19C+), PL/SQL, development and deployment tools (e.g. source codes and application packages management), GIT Hub, Jenkins,…
Added 13 days ago
BT
IT & Innovation Consultant, SR&ED
Baker Tilly Canada
Windsor, ON
- Full-time
Assist our internal developer with automation projects during periods of lower SR&ED workload, particularly following the tax season.
Added 13 days ago
T
Test Engineer – MDM & Data Quality
Teqfocus
Toronto, ON
- Full-time
Teqfocus is seeking a Test Engineer with strong functional testing, SQL, data validation, and test automation experience to support master data management (MDM) and data integration…
Added 14 days ago
CB
Backend Developer
Canadian Bank Note Company
Ottawa, ON
- $75,000 to $86,000 CAD / year
- Full-time
As a Backend Developer on our Prediction Markets team, you will help build and maintain a secure, multi-tenant prediction-market platform designed for Latin American markets. You will…
Added 14 days ago
C
Senior Backend Engineer (CFG)
CommIT
Toronto, ON
- Full-time
SQL and NoSQL databases, with experience scaling systems for high-volume data processing
Added 14 days ago
HB
Data Engineer - Up to $200k CAD + Bonus
Hunter Bond
Montreal, QC
- Full-time
We are looking for a Data Engineer / Database Developer (2–5 years’ experience) to join a growing data team. You will be responsible for designing, building, and optimising scalable…
Added 14 days ago
HB
Jr Python Developer - up to $150k CAD - Montreal
Hunter Bond
Montreal, QC
- Full-time
For an early-career developer, this represents a rare opportunity: the chance to learn from exceptional mentors, work with modern technologies and accelerate your growth in an environment…
Added 14 days ago
B
Tech Lead - Application Development N 4C
BrightClaim
Montreal, QC
- Full-time
· Basic operational knowledge of RDBMS and SQL.
Added 14 days ago
CO
Temporary Solutions Integration Specialist (up to 8 months)
City of Saint John
Saint John, NB
- Temporary
Must possess exceptional problem solving, critical thinking and analytical skills to troubleshoot and resolve issues and challenges · Must have a demonstrated understanding of the underlying concepts of project management methodologies
Added 14 days ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Must have Class 5 driver’s license
Added 14 days ago
C
Actuarial Consultant
Co-operators
Guelph, ON · Toronto, ON · Montreal, QC · Quebec, QC
- Full-time
Work Model: Hybrid (2 days in office)
Added 14 days ago
C
Systems Developer
Co-operators
Regina, SK
- Full-time
Work Model: Hybrid (2 days in office)
Added 14 days ago
V
Pega Smart Dispute Developer
Virtusa
Toronto, ON
- Full-time
Job Title: Senior Pega Smart Dispute Developer
Added 14 days ago
V
Pega Smart Dispute Developer
Virtusa
Toronto, ON
- Full-time
Job Title: Senior Pega Smart Dispute Developer
Added 14 days ago
V
Pega QA
Virtusa
Toronto, ON
- Full-time
Added 14 days ago
W
Data & AI Engineer
Wiraa
Canada
- Full-time
We are seeking a skilled Data & AI Engineer to join our team in Mississauga, CA, working in a hybrid model (3 days in office, 2 days remote)
Added 14 days ago
Manager, Product Analytics
Rogers Communications
Toronto, ON
Advanced proficiency in SQL for data extraction, transformation, analysis, and optimization.
Added 14 days ago
RL
Lead, Manufacturing Engineer
Rocket Lab
Toronto, ON
- Full-time
Exposure to, or experience with, Infor LN, PowerBI and SQL interfaces
Added 14 days ago
T
Software Engineer II (Salesforce Loyalty Management Developer)
TD
Toronto, ON
- Full-time
The Software Engineer II (Salesforce Loyalty Management Developer)

SymphonyAI

Data Scientist

Toronto, ON, Canada

Full-time

Apply on LinkedIn About employer

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Job details

Job type: Full-time
Apply by: Nov 26, 2026
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.

Responsibilities

Job Description

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.

Apply on LinkedIn About employer

More about this job

Responsibilities

Develop, evaluate, and deploy models for financial crime use cases, including preparing data, addressing model performance challenges, and applying NLP and LLM-based methods where useful. Partner with client and internal teams to integrate models into workflows, communicate results and limitations, support production monitoring, and mentor junior data scientists.

Requirements

Candidates should have 3–7 years of data science or machine learning experience, including at least 2 years in financial services, with strong Python, SQL, statistical modeling, and model evaluation skills. They should have financial crime domain knowledge, experience with explainability methods, client-facing communication skills, and experience delivering a model into a client workflow.

Skills

Data Science
Machine Learning
Statistical Modeling
Python
Pandas
NumPy
Scikit-Learn
SQL
Model Explainability
SHAP
LIME
Natural Language Processing
Large Language Models
Financial Crime Compliance
Model Deployment
Client Communication

Visa sponsorship

Not detected in the job text

Keywords

Financial Crime
Anti-Money Laundering
Fraud Detection
Compliance
Know Your Customer
FATCA
CRS
Data Science
Machine Learning
Statistical Modeling
Python
Pandas
NumPy
Scikit-Learn
SQL
Oracle
DB2
SQL Server
PostgreSQL
Natural Language Processing
Large Language Models
SHAP
LIME
Vector Databases
Apache Spark
Kubernetes
Kubeflow
Dask
RAPIDS
Model Monitoring

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Work requirements

Jobs in Canada