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Added 2 hours ago
Senior Data Engineer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON
$103,000 to $153,000 CAD / year
Full-time
…stronger financial future for the healthcare community. As a Senior Data Engineer, you will design and build the data foundations (spanning structured and unstructured data on AWS) that…
Added 2 hours ago
Senior Data Solutions Engineer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON
$103,000 to $153,000 CAD / year
Full-time
Technical fluency across data platforms and operational systems, including Snowflake, Python, SAP HANA, PowerShell, AWS GLUE, and REST APIs, with knowledge of data pipelines, databases, job…
Added 3 hours ago
Senior Staff Developer, AI and Machine Learning
Benevity
Remote, Canada
$137,800 to $179,080 CAD / year
Full-time · Remote
This is a brand new role designed to shape the future of our engineering organization. As Senior Staff Developer - AI and Machine Learning, you will serve as the technical anchor for our…
Added 3 hours ago
Senior Staff Developer, AI and Machine Learning
Benevity
Remote, Canada
Full-time · Remote
This is a brand new role designed to shape the future of our engineering organization. As Senior Staff Developer - AI and Machine Learning, you will serve as the technical anchor for our…
Added 3 hours ago
Senior Data and AI Scientist
Benevity
Remote, Canada
Full-time · Remote
Strong communication skills with the ability to explain complex technical topics to both technical and non-technical audiences.
Added 3 hours ago
Senior Data and AI Scientist
Benevity
Remote, Canada
$109,400 to $150,370 CAD / year
Full-time · Remote
Strong communication skills with the ability to explain complex technical topics to both technical and non-technical audiences.
Added 3 hours ago
Senior Manager, Engineer & Build
RBC
Toronto, ON
Full-time
Technology focus: Snowflake, Spark, dbt, Airflow, Python/Scala/Java, OpenShift/Kubernetes, and public cloud (e.g., AWS).
Added 4 hours ago
Senior Data Scientist
FCC / FAC
Calgary, AB · Ottawa, ON · Toronto, ON · Regina, SK · FCC Tower
Full-time
Demonstrated proficiency with SAS, MS Power BI, AWS tools, R and Python
Added 4 hours ago
Sr. AI Strategy and Operations Analyst
AppLovin
Toronto, ON
Strong communication skills and the ability to work effectively with senior stakeholders as well as technical and non-technical teams.
Added 10 hours ago
Intermediate Software Engineer
AltaML
Toronto, ON
$90,000 to $110,000 CAD / year
Full-time
Experience with a cloud platform (Azure, AWS, or GCP) is a plus.
Added 11 hours ago
Application Security Consultant - SCA (Global Security)
Royal Bank of Canada
Toronto, ON
Full-time
We are seeking a talented Intermediate Developer to join our Application Security team and serve as a bridge between security and development. You will provide technical execution and…
Added 12 hours ago
Staff Data Scientist - (Global Security)
Royal Bank of Canada
Toronto, ON
Full-time
As a Senior Data Scientist in our team, you will lead the development and deployment of advanced machine learning models to proactively identify and mitigate evolving digital and cyber…
Added 18 hours ago
Senior AI Engineer
MarkiTech.AI
Toronto, ON
$60 to $75 CAD / hour
Contract
Senior AI Engineer – Agentic AI & AWS Bedrock
Added 20 hours ago
Application Security Consultant - SCA (Global Security)
RBC
Toronto, ON
Full-time
We are seeking a talented Intermediate Developer to join our Application Security team and serve as a bridge between security and development. You will provide technical execution and…
Added 20 hours ago
Staff Data Scientist - (Global Security)
RBC
Toronto, ON
Full-time
As a Senior Data Scientist in our team, you will lead the development and deployment of advanced machine learning models to proactively identify and mitigate evolving digital and cyber…
Added 21 hours ago
Senior Full-Stack Developer [Security & Risk Products]
ScalePad
Vancouver, BC
Full-time
As a Senior Full-Stack Developer, you will be responsible for developing entirely new products and innovating within our existing technology stack. This will involve research, analysis,…
Added 21 hours ago
Senior Associate -Cyber Security Forward Deployed(Bilingual FR/EN)
PwC
Toronto, ON · Ottawa, ON · Vancouver, BC · Calgary, AB
Full-time
You will be a key technical contributor in PwC’s Cybersecurity Consulting practice. You’ll work closely with managers and other team members to design and implement security solutions (e.g.…
Added 21 hours ago
Full Stack Developer
PwC
Toronto, ON · Ottawa, ON · Calgary, AB
Full-time
Strong experience with Python in an API design context
Added 21 hours ago
Senior Data Platform Engineer
Project X
Toronto, ON
Full-time
We are looking for a Senior Data Platform Engineer to help an enterprise client evolve its data platform. The environment runs on AWS and includes Snowflake, Matillion and Salesforce. The…
Added 22 hours ago
Senior Software Engineer: Mobile & Full Stack
Ethereal Music Group
Vancouver, BC · Greater Vancouver Metropolitan Area
$125,000 to $160,000 CAD / year
Full-time
This role reports to the Head of Engineering and works closely with senior engineers, product management, external development partners, and stakeholders across music marketing, product,…
Added 22 hours ago
Cloud Platform Engineer
Swoon
Toronto, ON
Contract
…Platform Engineering team. In this role, you will work closely with senior platform engineers and cross-functional product development teams to design, automate, and operate cloud-native…
Added 23 hours ago
Senior Systems Engineer - Identity and Access Management
Electronic Arts (EA)
Vancouver, BC
Full-time
We are looking for an experienced Senior Systems Engineer with deep expertise in both Identity & Access Management (IAM) and Windows Systems Administration to join our Identity Security…
Added 1 day ago
Senior Electrical Engineer
MultiTech
Toronto, ON
SUMMARY: The Senior Electrical Engineer is responsible for designing, developing, and supporting embedded hardware and firmware for connected electromechanical products. This role is…
Added 1 day ago
Senior Security Operations Engineer (Talent pool building)
League Inc.
Toronto, ON
Experience with cloud security (AWS, Azure, GCP).
Added 1 day ago
Senior Software Engineer
Zodiac Solutions, Inc
Montreal, QC
Full-time
We are seeking a highly motivated and experienced Software Engineer with strong expertise in Core Java, Apache Spark, Python, SQL, and Linux to design, develop, and support scalable…

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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