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Added 7 days ago
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RQ11485 – Data Architect/Modeller – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…requirements analysis, relational database management systems (RDBMS), SQL, and the design and development of logical and physical data models. The successful candidate will review source…
Added 7 days ago
AI
Forward Deployed Engineer
Apptoza Inc.
Toronto, ON
- Contract
Profile and process data using Python, pandas, PySpark, and SQL.
Added 7 days ago
AI
AWS Data Engineer
Apptoza Inc.
Toronto, ON
- Contract
Build data processing solutions using Python, PySpark, and SQL.
Added 7 days ago
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Sr. Data Migration SME
Akkodis
Toronto, ON
- Contract
The successful candidate will bring deep expertise in large-scale data migration, Microsoft Fabric architecture and implementation, Azure data technologies, Python, SQL, and Master Data…
Added 7 days ago
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Platform Support Analyst III - File Transfer Services
Moneris
Toronto, ON
- Full-time
Basic knowledge of MSSQL Databases and creating/executing SQL commands.
Added 7 days ago
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Data AI Engineer
Zodiac Solutions, Inc
Mississauga, ON
- Full-time
Good understanding of SQL and data processing.
Added 7 days ago
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Supply Chain Business Intelligence - Co-op Student
Loblaw Companies Limited
Brampton, ON
- Full-time
Preferred experience and/or knowledge in several programming languages such as Power Suite, R, SAS, Python, SQL, or VBA with the ability to learn new languages quickly
Added 7 days ago
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Senior DevOps Specialist (Azure Cloud)
Equisoft
Montreal, QC · Quebec, QC · HYBRID - Montreal, Canada
- Full-time
Strong knowledge of Linux and Windows server environments, Git, Docker, and scripting (PowerShell, Bash or Python)
Added 7 days ago
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Software Developer
Spait Infotech
Canada
- Full-time
Develop, test, and maintain software applications.
Added 7 days ago
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Oracle EPM Engineer
J&M Group
Montreal, QC
- Contract
You will use Python Shell scripting and PLSQL to maintain enterprise grade financial systems
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MONTREAL [hybrid] - MLOps Engineer
QUANTEAM - North America (RAINBOW PARTNERS Group)
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Senior-level Python development across the full data and ML stack.
Added 7 days ago
A
Ab-initio ETL Developer
Altimetrik
Mississauga, ON
- Full-time
Strong understanding of Data Lineage, metadata management and reference data development and data analytics.
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AI Engineer
Altimetrik
Mississauga, ON
- Full-time
Design, build, and deploy Python-based AI/LLM applications using FastAPI/Flask.
Added 7 days ago
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Staff Software Engineer
Magnet Forensics
Canada
- Full-time
Proficiency in several of C#/ASP.Net Core, Python, PowerShell, AWS, Docker, Kubernetes, Open Telemetry, SQL, and ElasticSearch
Added 7 days ago
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Artificial Intelligence Engineer
TechNeptune Consulting Inc.
Mississauga, ON
- Full-time
Design, build, and deploy Python-based AI/LLM applications using FastAPI/Flask.
Added 7 days ago
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Senior Oracle EPM Engineer
Ardent SoftSol Inc.
Montreal, QC
- Contract
Job Summary We are seeking a Senior Oracle EPM Engineer with strong PLSQL and Shell Scripting skills You will manage optimize and scale our Hyperion financial planning and consolidation…
Added 7 days ago
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Sr. Software Engineer-MANO
Aarorn Technologies Inc
Toronto, ON
- $50 CAD / hour
- Contract
We are seeking a skilled Software Developer with a strong background in IBM Datastage to join our dynamic team in Toronto. The ideal candidate will have a proven track record in software…
Added 7 days ago
DS
Artificial Intelligence Engineer
Digivance Solutions
Toronto, ON
- Full-time
We’re looking for a hands-on AI Engineer to build production AI agents, LLM-powered applications, and intelligent retrieval systems that solve real business problems.
Added 7 days ago
IG
AWS Data Engineer
Insight Global
Toronto, ON
- $55 to $65 CAD / hour
- Contract
This person should be technically strong in Python and SQL, have hands-on AWS migration experience, and be comfortable partnering directly with business stakeholders. Experience with…
Added 7 days ago
Software Data Developer II
Brightstar Lottery
Dieppe, NB
We are seeking a Software Data Developer II to join our team. In this role, you will support Brightstar Lottery's data conversion, migration, and transformation initiatives by designing,…
Added 7 days ago
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Data Analyst - Management Analyst 3
Minnesota Direct Care and Treatment
Saint-Paul, NB · St.-Paul, NB
- Full-time
Experience using SQL, Power BI, Python, or similar tools to analyze data, develop reports and dashboards, validate data quality, and support business decision-making.
Added 7 days ago
OR
Business Analytics Manager
OSL Retail Services Inc
Mississauga, ON
- Other
Experience with analytical and visualization technologies such as SQL, Python, Domo, Power BI, Tableau, R, or similar platforms
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Software Engineer Manager
symplistic.ai
Woodbridge, ON
- $150,000 CAD / year
- Full-time
Build Python/React applications, backend services, APIs, and enterprise integrations.
Added 7 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 7 days ago
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Data Scientist
SymphonyAI
Toronto, ON
- Full-time
SQL and database experience with Oracle, DB2, SQL Server, Postgres, or similar platforms.

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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