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Added 11 mins ago
AM
Machine Learning Resident - Client: Ultimarii (12 month term)
Alberta Machine Intelligence Institute
Edmonton, AB
- Full-time
This is a paid residency that will be undertaken over a twelve-month period with the potential to be hired by our client Ultimarii afterwards (note: at the discretion of the client). The…
Added 1 hour ago
DT
AI Architect
Derex Technologies Inc
Toronto, ON
- Full-time
Strong hands-on programming expertise in at least one modern language such as Python, C#, Java, or JavaScript, with the ability to guide engineering teams on best practices.
Added 1 hour ago
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Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
…arm of the McGill University Health Centre (MUHC) affiliated with the Faculty of Medicine at McGill University. The RI-MUHC is supported in part by the Fonds de recherche du Québec - Santé…
Added 2 hours ago
Q
Conversation Bot Engineer - Dialogflow CX
Quantiphi
Toronto, ON
- $140,000 to $150,000 CAD / year
- Full-time
Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation.
Added 2 hours ago
NS
AWS Snowflake Solutions Architect
N2P Systems
Toronto, ON
- Full-time
…N2P Systems, you will put 10+ years of hands-on experience with AWS, AWS Data Services and Snowflake to work on mission-critical enterprise systems. This is an existing full-time, hybrid…
Added 3 hours ago
QT
Building Science Lead
QEA Tech
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…loss through infrared imaging replaces generic assumptions with precise, measured data: actual R-values, quantified energy loss, and data-driven retrofit plans with exact payback…
Added 4 hours ago
GS
GenAI Prompt Engineer
Gala Solutions
Montreal, QC
- Contract
The developer will be working within a machine learning team/squad. The team is working on developing Artificial Intelligence solutions including ML and Gen AI. The candidate should be…
Added 4 hours ago
IG
AI Data Science Engineer
Insight Global
Toronto, ON
- $80 to $94 CAD / hour
- Contract
Experience with scikit-learn or comparable Python ML libraries.
Added 4 hours ago
TT
Senior MLOps Engineer - Investment Banking
Tech Talent International
Montreal, QC
- $140,000 to $150,000 CAD / year
- Full-time
We currently have a role as a Senior MLOps Engineer with our large consulting client, working for a investment bank in the downtown Montreal area. T
Added 7 hours ago
AI Outcome Customer Developer, Forward Deployed Development
Google
Toronto, ON
As an AI Outcome Customer Developer in our GTM AI Tech organization, you work as an enterprise architect, technical debugger, development liaison and technical delivery manager. You will…
Added 8 hours ago
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Machine Learning Engineer, Frameworks & Performance (New Grad to Principal level)
Qualcomm
Markham, ON
- Full-time
Creation of performance-driven simulation components (using C++, Python) for analysis and design of high-performance HW/SW algorithms on future SoCs

Insight Global

AI Data Science Engineer

Toronto, ON, Canada

$80 to $94 CAD / hour · Contract

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Job details

Pay: $80 to $94 CAD / hour
Job type: Contract
Apply by: Nov 29, 2026
Experience: 2+ years of hands-on Data Science, Machine Learning, or AI Engineering experience.
Posting language: English
Posted: Oct 30, 2026

Original job description

12 month contact + ext

Hybrid 3x per week in Toronto

Pay: $80-94/hr incorp

Must-Have Skills

2+ years of hands-on Data Science, Machine Learning, or AI Engineering experience.
Strong hands-on Python development experience.
Experience building machine learning models from scratch.
Strong understanding of traditional ML methodologies.
Experience with deep learning.
Hands-on experience building and productionizing AI/ML models.
Experience with PySpark for large-scale data processing.
Experience with scikit-learn or comparable Python ML libraries.
Experience building AI agents / agentic AI solutions.
Strong experience with LangChain and/or LangGraph.
Experience developing AI/ML solutions within AWS.
Strong problem-solving and critical-thinking skills, especially the ability to translate an abstract business problem into a structured mathematical or ML problem.

Nice to Have Skills & Experience

Banking experience

Job Description

We are seeking an AI Data Science Engineer to join a team focused on developing and productionizing advanced AI and machine learning solutions for Commercial Banking and underwriting.

This is a hybrid Data Scientist + AI/ML Engineer role. The ideal candidate can take an ambiguous business problem, translate it into a mathematical/data science problem, build the appropriate model, and then help bring that solution into production.

Key Responsibilities

Design, build, and productionize AI and machine learning models.

Develop AI agents and agentic workflows using modern LLM frameworks.

Build solutions supporting commercial underwriting and prospect scouting.

Apply traditional machine learning, deep learning, and graph-based modeling techniques to complex business problems.

Develop and optimize models using Python and PySpark.

Work with graph neural networks / graph-based machine learning where appropriate.

Build agentic AI solutions using LangChain and LangGraph within AWS environments.

Take high-level or abstract business concepts and translate them into mathematical, analytical, and technical solutions.

Partner with business and technical stakeholders to move AI solutions from concept → model development → production.

Evaluate model performance and continuously improve AI/ML solutions.

Artificial intelligence tools are used to assist in screening and assessing applicants for this position.

Vacancy: This posting is for a currently vacant role, and the successful candidate will be hired into an existing open position.

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More about this job

Responsibilities

Design, develop, evaluate, and productionize AI and machine learning models and agentic workflows for commercial underwriting and prospect scouting. Translate ambiguous business needs into analytical and technical solutions, collaborating with business and technical stakeholders to bring models from concept into production and improve their performance.

Requirements

Requires at least two years of hands-on data science, machine learning, or AI engineering experience, strong Python skills, and experience building models from scratch and productionizing them. Candidates should have experience with traditional and deep learning, PySpark, scikit-learn or comparable libraries, AI agents using LangChain or LangGraph, and AWS; banking experience is preferred.

Skills

Python
Machine Learning
Deep Learning
AI Engineering
PySpark
Scikit-Learn
AI Agents
Agentic AI
LangChain
LangGraph
AWS
Graph Neural Networks
Graph-Based Machine Learning
Model Productionization
Problem-Solving
Critical Thinking

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Data Science
Machine Learning
AI Engineering
Python
PySpark
Scikit-Learn
Deep Learning
Traditional Machine Learning
AI Agents
Agentic AI
LangChain
LangGraph
AWS
Graph Neural Networks
Graph-Based Modeling
Model Development
Model Productionization
Commercial Banking
Commercial Underwriting
Prospect Scouting
Large-Scale Data Processing
Model Evaluation
Mathematical Modeling
Business Problem Translation
Stakeholder Collaboration
Banking

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