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Added 7 days ago
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Senior Data Scientist - Fraud Detection
DataVisor
Toronto, ON
- $120,000 to $150,000 CAD / year
- Full-time
…learning systems that catch fraud at scale, and you'll personally lead investigations into how specific fraud attacks happened, reconstructing attacker behavior and turning case-level…
Added 7 days ago
PROJECT MANAGER BUSINESS TRANSFORMATION (PERFORMANCE MEASUREMENT)
City of Toronto
Toronto, ON
You’ll be the lead for the division’s performance measurement framework, work on program and policy evaluations, and work on service levels for the budget. You’ll be a senior member of a…
Added 7 days ago
R
202610-127399 AI/ML Compliance Lead
Roche
Mississauga, ON
- Full-time
We are seeking an experienced AI/ML & Digital Quality Lead to provide Quality Assurance oversight and guidance while designing and implementing cutting-edge AI/ML Digital solutions in a GMP…
Added 7 days ago
AI
Gen AI Engineer
Apptoza Inc.
Toronto, ON
- Contract
Lead the development and delivery of enterprise GenAI products, pilots, and scalable AI solutions.
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Sr. Data Migration SME
Akkodis
Toronto, ON
- Contract
We are seeking a highly experienced Sr. Data Migration SME to lead enterprise-scale data migration initiatives supporting major technology modernization programs. This role will be…
Added 7 days ago
GT
Senior Software Developer
GeoSpectrum Technologies, Inc
Dartmouth, NS
- Full-time
GeoSpectrum is growing and has a new career opportunity for an experienced Senior Software Developer.
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Platform Support Analyst III - File Transfer Services
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- Full-time
Lead infrastructure and other application support teams to diagnose, troubleshoot, and resolve complex support issues beyond the immediate application code and server infrastructure.
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PhD Clinical Cognitive Research Scientist – Digital Neurofunctional Assessment
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Toronto, ON
- Part-time
BrainFx is seeking a PhD-level Clinical Cognitive Research Scientist to lead and support clinical research initiatives focused on mild cognitive impairment, neurofunctional assessment, and…
Added 7 days ago
RD
Senior Network Security Engineer
Randstad Digital
Mississauga, ON
- Contract
…migration. In this role, you will play a hands-on technical lead role translating and migrating hundreds of firewall configurations from legacy platforms to next-generation appliances,…
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Enterprise Architect – AI, Data & Cloud
Synechron
Mississauga, ON
- $180,000 to $200,000 CAD / year
- Full-time
…an advisory leader. They will shape enterprise architecture, lead critical design decisions, review architecture-critical implementations, mentor architects and engineers, evaluate emerging…
Added 7 days ago
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Staff Software Engineer
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- Full-time
…architecture as you are shipping code, and you care deeply about developer experience, scalability, and performance. You’ve likely led modernization efforts, built shared frameworks or…
Added 7 days ago
AS
AWS Cloud Architect
Ardent SoftSol Inc.
Mississauga, ON
- $50 to $55 CAD / hour
- Contract
We are seeking a highly skilled AWS API Lead Architect to lead the architecture, design, governance, and implementation of enterprise API and cloud-native solutions. The ideal candidate…
Added 7 days ago
JG
AWS / API lead and Architect
J&M Group
Mississauga, ON
- Contract
We are seeking a highly skilled AWS API Lead Architect to lead the architecture, design, governance, and implementation of enterprise API and cloud-native solutions. The ideal candidate…
Added 7 days ago
CL
Lead Applied AI Scientist - Deep/Reasoning Agents (Healthcare life science/Medical Device)
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Mississauga, ON
- Contract
Role: Lead Applied AI Scientist - Deep/Reasoning Agents (Healthcare life science/Medical Device)
Added 7 days ago
KR
SDET/Automation – Mobility (IOS Applications)
KTek Resourcing
Vancouver, BC
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Must have strong: At least 5+ years of exp in Automation/SDET, iOS testing, Xcode, XCUI, python or Java coding
Added 7 days ago
FG
Lead Software Engineer, Full-Stack Applications - AI Fluent
Fitch Group
Toronto, ON
- $180,000 to $220,000 CAD / year
Lead Software Engineer, Full-Stack Applications – AI Fluent
Added 7 days ago
Sr Staff. Software Engineer
Kaseya Careers
Toronto, ON
We’re hiring a Senior / Staff Backend Engineer to lead the design and delivery of SaaS products powered by data, machine learning, and AI. This is a hands-on role focused on building…
Added 7 days ago
OR
Business Analytics Manager
OSL Retail Services Inc
Mississauga, ON
- Other
We are currently seeking a Business Insights & Analytics Manager. This role lead’s the evolution of our analytics capabilities in the dynamic retail and direct sales industries. The…
Added 7 days ago
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Software Engineer Manager
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- $150,000 CAD / year
- Full-time
We seek a hands-on Engineering Manager to lead ContentIQ's development, quality, delivery, and operation. You'll mentor engineers while actively coding, making architectural decisions, and…
Added 7 days ago
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Data Scientist
SymphonyAI
Toronto, ON
- Full-time
Better models lead to better decisions, stronger controls, and safer financial systems. That’s where you come in.
Added 7 days ago
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Machine Learning and Quantum Information Systems Specialist
TRIUMF
Vancouver, BC
- Full-time
…judgement are vital, as errors in detail or in decisions could lead to setbacks with research…
Added 7 days ago
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Software Validation Technologist
Husky Technologies
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- Full-time
…passion of our people around the world and their desire to lead change. At the same time, we are not afraid to expect a lot and strive for leadership in all of our key markets. We are a…
Added 7 days ago
BT
IT & Innovation Consultant, SR&ED
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- Full-time
Lead client interviews with developers, technical leads, project managers, and business owners, asking clear follow-up questions to gather complete and accurate technical information.
Added 7 days ago
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Tech Lead - Application Development N 4C
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- Full-time
At Genpact, we don’t just adapt to change, we lead it. AI and digital innovation are transforming the way businesses work, and we’re at the forefront of it. Genpact’s AI Gigafactory, our…
Added 7 days ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Under the direction of the designated IT Manager, the Application and Integration Technical Analyst is a technical lead responsible for system architecture, data strategy, and integration…

SymphonyAI

Data Scientist

Toronto, ON, Canada

Full-time

Apply 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.

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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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