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Added 14 mins ago
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
Added 29 mins ago
Senior Consultant - GCP Data & AI Architect
Deloitte
Toronto, ON
Full-time
Proficient in SQL and Python; comfortable with Terraform for infrastructure as code.
Added 29 mins ago
Senior Consultant - GCP Agent Platform Architect
Deloitte
Toronto, ON
Full-time
Proficient in Python; comfortable with at least one of TypeScript / Java / Go for agent tools and services.
Added 29 mins ago
Prod Srvc Lead, Client Technology Support– Salesforce CRM
RBC
Toronto, ON
Full-time
Experience with RHEL Unix / Linux / Windows environments and basic scripting (Perl, Bash, Python, Powershell, batch)
Added 29 mins ago
AI Engineer
Insight
Remote, Canada
Full-time · Remote
Strong C#/.NET skills building production APIs and services, with the ability to work in Python where the AI tooling demands it.
Added 29 mins ago
Data Engineer Sr
Insight
Toronto, ON
Full-time
Experience developing data solutions using Python, Scala, Java, or similar programming languages.
Added 29 mins ago
Consultant, Risk Management - Finance and Treasury
Vancity
Vancouver, BC
Full-time
Strong experience with SQL and demonstrated proficiency in Python or R to query enterprise data warehouses, extract large datasets, perform data manipulation, and conduct analysis to…
Added 29 mins ago
Senior KDB Developer
Maarut
Toronto, ON
Contract
Client is hiring a Senior KDB Developer to join a Global
Added 43 mins ago
QA Automation Engineer – Python, Playwright & SQL
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
Full-time
Senior QA Automation Engineer – Python, Playwright & SQL
Added 43 mins ago
Observability Engineer
Apptoza Inc.
Toronto, ON
Contract
Added 43 mins ago
Spécialiste en automatisation manufacturière / Manufacturing Automation Specialist
Pratt & Whitney
Longueuil, QC
Full-time
Maîtrise des langages de programmation (C#, Java, Python);
Added 43 mins ago
Senior Infrastructure Engineer (Linux & Cloud Automation)
Manx Telecom Enterprise
Permanent North American Gaeltacht, ON
Full-time
Added 43 mins ago
Machine Learning Engineer - Early Career (Canada)
Jobright.ai
Canada
Full-time
Technical skills such as coding (Python/R), data modeling, and database management (SQL)
Added 43 mins ago
Winter 2027: Software Developer Co-op (4 or 8 months)
Intuit
Toronto, ON
Internship
Programming fundamentals. Experience in one or more languages such as Python, Java, JavaScript/TypeScript, or Go, with a solid understanding of core data structures and coding concepts.…
Added 43 mins ago
AI Engineer, Agent Product (Full-time/Part-time) (Canada)
Jobright.ai
Canada
Full-time · Part-time
Familiarity with at least one programming language (e.g. Python, JavaScript, TypeScript)
Added 43 mins ago
SAU Data Scientist
The University of British Columbia
Vancouver, BC
$6,631.67 to $9,533.25 CAD / month
Full-time
Evaluate and select statistical programs, R/Python packages, and machine-learning frameworks to ensure alignment with research objectives and study questions.
Added 43 mins ago
AI Engineer, Entry Level (Canada)
Jobright.ai
Canada
Full-time
Strong proficiency in Python and experience working with LLM APIs (such as OpenAI, Anthropic, or open-source models via Hugging Face)
Added 59 mins ago
Software Development Engineer - Agent Factory
Workday
Vancouver, BC
Full-time
3+ years experience with a web development framework (Python preferred: Flask, Django, or FastAPI)
Added 1 hour ago
Montréal [Hybrid] - Senior Linux Systems Administrator
QUANTEAM - North America (RAINBOW PARTNERS Group)
Montreal, QC
Full-time
-Contribute to API design and development to automate IT operations (strong Python expertise required).
Added 1 hour ago
SAU Data Scientist
University of British Columbia
Vancouver, BC · UBCV | AERL (Aquatic Ecosystems Research Laboratory) (AERL)
$6,631.67 to $9,533.25 CAD / month
Full-time
Evaluate and select statistical programs, R/Python packages, and machine-learning frameworks to ensure alignment with research objectives and study questions.
Added 1 hour ago
CRM Support Analyst
Royal Bank of Canada
Toronto, ON
Full-time
Experience with RHEL Unix / Linux / Windows environments and basic scripting (Perl, Bash, Python, Powershell, batch)
Added 1 hour ago
Co-op Winter 2027 – System of Systems Integration, Verification and Validation – 4-8 months
General Dynamics Missions System International
Ottawa, ON
Internship
Experience with scripting or programming languages such as Python, PowerShell, or Java.
Added 1 hour ago
Co-op Winter 2027 - Systems Integration, Verification, and Validation - 8-12 months
General Dynamics Missions System International
Ottawa, ON
Internship
Experience with scripting or programming languages such as Python, PowerShell, or Java.
Added 1 hour ago
Trading Development Program
TransAlta
Calgary, AB
Full-time
Experience with Python, MATLAB, or other programming languages
Added 1 hour ago
Head of Machine Learning
Toast
Vancouver, BC
$160,000 to $180,000 USD / year
Full-time
Strong proficiency in Python, with hands-on experience using PyTorch and Scikit-learn

Benevity

Senior Data and AI Scientist

Remote, Canada

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

The Senior Data and AI Scientist will design and develop machine learning models and statistical prototypes to enhance the B2B SaaS platform. They will collaborate with cross-functional teams to deploy scalable AI solutions and generate actionable data-driven insights.

Requirements

Candidates must have 4–6 years of experience in data science or ML engineering, preferably within a SaaS 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
Artificial Intelligence
Data Science
Statistical Modeling
NLP
Feature Engineering
MLOps
BigQuery
Snowflake
TensorFlow
PyTorch
Scikit-learn
XGBoost
A/B Testing

Benefits

Flexible hybrid work environment
Growth opportunities
Employee resource groups
Inclusive culture

Visa sponsorship

Not detected in the job text

Keywords

Data Science
Machine Learning
Artificial Intelligence
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
Tableau
NLP
Time-series forecasting

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