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Added 9 mins ago
Systems Administrator
Eckler Ltd. / Eckler ltée
Toronto, ON · Greater Toronto Area, Canada
$82,000 to $95,000 CAD / year
Full-time
Support selected AIX services and troubleshoot Active Directory, Kerberos, connectivity, and related integration issues.
Added 9 mins ago
Cloud Architect
Tata Consultancy Services
Toronto, ON
$100,000 to $120,000 CAD / year
Full-time
Managing AKS, fixing issues with Azure front door, connecting AI programs to existing cloud network, connect Azure with other cloud programs like AWS and OCI.
Added 10 mins ago
Director, Wealth Digital AI Platforms & Technology Delivery
BMO
Toronto, ON · BMOPLACE
Full-time
3. Azure, Architecture and Platform Integration
Added 10 mins ago
Lead Engineer
Raymond James
Vancouver, BC
Full-time
Lead the engineering required for Azure and hybrid infrastructure adoption, including landing zones, networking, identity integration, policy, tagging, governance, cost controls, and Azure…
Added 39 mins ago
QE Automation (API Automation + Java , Selenium + Rest Assured)
Zodiac Solutions, Inc
Toronto, ON
Full-time
Develop and maintain robust UI automation frameworks using Selenium WebDriver and Java, supporting functional, regression, integration, and end-to-end testing.
Added 39 mins ago
QE Automation (API Automation + Java , Selenium + Rest Assured)
J&M Group
Toronto, ON
Full-time
Develop and maintain robust UI automation frameworks using Selenium WebDriver and Java, supporting functional, regression, integration, and end-to-end testing.
Added 39 mins ago
AVEVA Enterprise SCADA Specialist
SGS
Regina, SK
$85,000 to $165,000 CAD / year
Full-time
You will contribute to system configuration, HMI development, and integration work on live client engagements from day one, supported by a structured technical pathway that develops you…
Added 39 mins ago
Shopify Practice Director
Jobgether
Canada
$130,000 to $185,000 USD / year
Full-time
Serve as the senior technical authority on feasibility, scalability, integration strategy, and architecture for Shopify Plus engagements.
Added 39 mins ago
AVEVA Enterprise SCADA Specialist
SGS
AB · Edmonton, AB
$85,000 to $165,000 CAD / year
Full-time
You will contribute to system configuration, HMI development, and integration work on live client engagements from day one, supported by a structured technical pathway that develops you…
Added 39 mins ago
Business Applications Developer
Lallemand
Montreal, QC
Full-time
Perform detailed system and data design using reusable components, Synergy DBL standards, ISAM files, relational databases and established integration patterns.
Added 40 mins ago
Quality Engineering Lead
Definity Insurance Company
Mississauga, ON
Full-time
Establish risk-based testing approaches and ensure appropriate coverage across functional, integration, data, and end-to-end testing.
Added 1 hour ago
Cloud Support Lead
Supply Ontario
Toronto, ON · Greater Toronto Area, Canada
$88,496 to $128,625 CAD / year
Full-time
Provide enterprise leadership and operational direction for cloud services (e.g., Microsoft Azure, M365), ensuring secure, reliable, scalable, compliant, and high-performing technology…
Added 1 hour ago
Senior Microsoft Dynamics & Data Architect - Dynamics 365 F & O
TECONICA SOFTWARES
Richmond, BC
Full-time
Experience with Microsoft SQL Server / Azure SQL and enterprise data integration.
Added 1 hour ago
DevOps Developer / Développeur DevOps
Sky Systems, Inc. (SkySys)
Montreal, QC
$80 to $85 CAD / hour
Contract
…solution (e.g., PingOne Advanced Identity, Keycloak, Okta, Azure External Identities, GCP CIAM, Auth0, Ping…
Added 1 hour ago
Business System Analyst
Tekshapers
Toronto, ON
Full-time
…capabilities combined with hands-on knowledge of 3+ years in Azure Data Factory (ADF), Azure Databricks (ADB), PySpark, and SQL. Banking and financial services experience is highly…
Added 1 hour ago
Oracle Cloud Developer
Nuvei
Remote, Canada
Remote
Support the Oracle Integration Cloud posting path from the business rules platform on Azure and Snowflake into the Oracle general ledger, including file-based data import and reconciliation…
Added 1 hour ago
AVEVA Enterprise SCADA Specialist
SGS
Calgary, AB
$85,000 to $165,000 CAD / year
Full-time
You will contribute to system configuration, HMI development, and integration work on live client engagements from day one, supported by a structured technical pathway that develops you…
Added 1 hour ago
Canada Leader, Specialist Solution Architects | Chef du Canada, Architectes de solutions spécialisés
Amazon
Vancouver, BC · Toronto, ON · Montreal, QC
- Develop and execute strategies to drive long-term adoption and growth with Data and Developer tools, Advanced Compute, Core Services, Migration/Modernization, or Business Applications…
Added 1 hour ago
Software Developer (C#, .NET, React)
Archon Systems Inc.
Toronto, ON
Full-time
We’re looking for a well-rounded developer who can understand the people we’re helping, the problems we’re solving, and help create software systems with those in mind. You don’t need to be…
Added 1 hour ago
Data Engineer
Buyerlink
Victoria, BC
Full-time
Creating data integration scripts and executing analytical queries that transform and utilize data for business insights
Added 1 hour ago
Senior DevOps Engineer
Boeing
Richmond, BC · Vancouver, BC · CAN - Richmond, Canada
Full-time
The ideal senior DevOps engineer is a cloud‑native platform expert with deep Azure Functions, CI/CD, IaC, and observability skills, plus strong leadership and cross‑team collaboration…
Added 2 hours ago
Director, Data Engineering, International Banking, Toronto, Mexico, Colombia, Peru
Scotiabank
Toronto, ON
Oversee the design, deployment, and optimization of cloud-based data infrastructure supporting Azure Databricks, including secure connectivity, storage integration, workload isolation, and…
Added 2 hours ago
Specialist - Software Engineering- GEN AI
LTM
ON · Ontario, Canada
$80,000 to $90,000 USD / year
Full-time
We are seeking a highly skilled Full Stack Developer with strong expertise in Python and Angular to build and support modern cloudnative applications The ideal candidate should be…
Added 2 hours ago
Data Engineer
Buyerlink
Victoria, BC
Full-time
Creating data integration scripts and executing analytical queries that transform and utilize data for business insights
Added 2 hours ago
Software Developer - MS Dynamics 365 CRM
Enterprise Solutions Inc.
Toronto, ON
Contract
Title: Software Developer - MS Dynamics 365 CRM

Benevity

Senior Data and AI Scientist

Remote, Canada

Pay: $109,400 to $150,370 CAD / year
Job type: Full-time
Workplace: Remote
Experience: 4–6 years of experience in data science, ML engineering, or applied AI roles, ideally within a SaaS or tech product environment.
Posting language: English
Posted: Sep 25, 2026

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Original job description

Meet Benevity

Benevity is the way the world does good, providing companies (and their employees) with technology to take social action on the issues they care about. Through giving, volunteering, grantmaking, employee resource groups and micro-actions, we help most of the Fortune 100 brands build better cultures and use their power for good. We’re also one of the first B Corporations in Canada, meaning we’re as committed to purpose as we are to profits. We have people working all over the world, including Canada, Spain, Switzerland, the United Kingdom, the United States and more!

We are looking for a curious, analytical, and technically strong Senior Data and ML/AI Scientist to help design and build AI-powered solutions that enhance our B2B SaaS platform. As an individual contributor, you will develop machine learning models, data-driven insights, and AI prototypes that directly impact customer experience, automation, and business outcomes.

In this role, you will work alongside AI engineers, product teams, and data engineers to bring intelligent features to life - leveraging industry-leading tools and frameworks to ensure models are accurate, scalable, and production-ready.

What you’ll do:

Model Development & Analysis

Design and develop machine learning and statistical models to support product features such as recommendations, predictions, or classification.
Conduct data exploration, feature engineering, and preprocessing to prepare datasets for model training and evaluation.
Analyze model performance using appropriate metrics and iterate based on experimentation.
Collaborate with data analysts and product stakeholders to understand use cases and define success criteria.
Prototype and benchmark novel algorithms in areas such as NLP, representation learning, and time-series forecasting.

Insights & Decision Support

Generate actionable insights using advanced analytics, segmentation, and statistical analysis.
Communicate findings and model outcomes to cross-functional teams in a clear and concise manner.
Contribute to A/B testing and model validation efforts to ensure measurable impact.
Develop dashboards or monitoring tools to track model health and business KPIs post-deployment.

Collaboration & Technical Growth

Work closely with product and AI engineering teams to deploy models into production environments, ensuring integration with backend services and APIs.
Develop reproducible training pipelines and notebooks that adhere to versioning and documentation standards.
Contribute to building reusable model components and feature stores that support scalable development.
Stay up to date with advancements in the data and ML/AI ecosystem and explore new tools and frameworks
Contribute to documentation and internal tooling that improve team efficiency and transparency

What you’ll bring:

4–6 years of experience in data science, ML engineering, or applied AI roles, ideally within a SaaS or tech product environment.
Experience building customer-facing or business-impacting models (e.g., scoring, personalization, anomaly detection).
Familiarity with collaborative software development workflows (e.g., Git, code reviews, CI/CD for ML).
Ability to work independently on tasks while contributing effectively in team settings.
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Engineering, or a related field.
Strong communication skills with the ability to explain complex technical topics to both technical and non-technical audiences.
Demonstrated awareness of ethical implications of ML models, including fairness, bias, and explainability in AI.
Experience designing or evaluating models for robustness, interpretability, and inclusivity is a plus.

Technical Skills & Expertise:

Languages & Tools: Python, SQL, Jupyter, Git
ML Frameworks: scikit-learn, XGBoost, LightGBM, TensorFlow or PyTorch (basic)
Data Tools: Pandas, NumPy, DBT, BigQuery, Snowflake, or similar
MLOps & Pipelines: MLflow, Airflow, Kubeflow, Feature Stores (Tecton, Feast, etc. optional but a plus)
Cloud Platforms: GCP (Vertex AI), AWS (SageMaker), or Azure ML (experience with one required); experience with containerization (Docker) or orchestration (Kubernetes) is a plus
Visualization & Reporting: Seaborn, Matplotlib, Plotly; BI tool familiarity (e.g., Looker, Power BI, Tableau) is a plus
Model Evaluation & Experimentation: Strong grasp of model evaluation, overfitting, bias, variance, cross-validation, and A/B testing techniques
Domain-Specific Knowledge: Exposure to advanced areas such as deep learning, graph ML, NLP, or reinforcement learning is a strong asset
Production & Scalability Experience: Experience deploying and monitoring ML models in production, including automated retraining, logging, and performance tracking, is highly valued

Discover your purpose at work

We’re not employees, we’re Benevity-ites. From all locations, backgrounds and walks of life, who deserve more …

Innovative work. Growth opportunities. Caring co-workers. And a chance to do work that fills us with a sense of purpose.

If the idea of working on tech that helps people do good in the world lights you up ... If you want a career where you’re valued for who you are and challenged to see who you can become …

It’s time to join Benevity. We’re so excited to meet you.

Where We Work

At Benevity, we embrace a flexible hybrid approach to where we work that empowers our people in a way that supports great work, strong relationships, and personal well-being. For those located near one of our offices, while there’s no set requirement for in-office time, we do value the moments when coming together in person helps us build connection and collaboration. Whether it’s for onboarding, project work, or a chance to align and bond as a team, we trust our people to make thoughtful decisions about when showing up in person matters most.

Join a company where DEIB isn’t a buzzword

Diversity, equity, inclusion and belonging are part of Benevity’s DNA. You’ll see the impact of our massive investment in DEIB daily - from our well-supported employee resources groups to the exceptional diversity on our leadership and tech teams.

We know that diverse backgrounds, experiences, skills and passions are what move our business and our people forward, so we're committed to creating a culture of belonging with equal opportunities for everyone to shine.

That starts with a fair and accessible hiring process. If you want to feel seen, heard and celebrated, you belong at Benevity.

Candidates with disabilities who may require accommodations throughout the hiring or assessment process are encouraged to reach out to accommodations@benevity.com.

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More about this job

Responsibilities

You will design and develop machine learning models and AI prototypes to enhance the B2B SaaS platform while collaborating with cross-functional teams to deploy these solutions into production. Additionally, you will generate actionable insights through advanced analytics and maintain model health to ensure measurable business impact.

Requirements

Candidates must have 4–6 years of experience in data science or ML engineering roles within a SaaS or tech environment. A Bachelor’s or Master’s degree in a quantitative field is required, along with proficiency in Python, SQL, and modern ML frameworks.

Skills

Python
SQL
Machine Learning
Data Science
Statistical Modeling
Feature Engineering
NLP
Time-series Forecasting
MLOps
BigQuery
Snowflake
TensorFlow
PyTorch
Git
CI/CD
Data Visualization

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
AI
SaaS
Python
SQL
Jupyter
Git
Scikit-learn
XGBoost
LightGBM
TensorFlow
PyTorch
Pandas
NumPy
DBT
BigQuery
Snowflake
MLflow
Airflow
Kubeflow
GCP
AWS
Azure ML
Docker
Kubernetes
Looker
Power BI
Tableau
A/B Testing

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