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Weekend Machine Learning Jobs in Toronto, ON (NOW HIRING)

Fusemachines

Lead Data Scientist

Toronto, ON · Remote

$110K - $140K/yr

The role requires extensive experience in data analysis, agentic ai, statistical modeling, machine learning, and data visualization, as well as the ability to lead a team of data scientists and ...

BMO Financial

Vice President, Data Scientist

Toronto, ON · On-site

CA$120K - CA$150K/yr

As a Data Scientist, you will be responsible for developing and implementing advanced analytics and machine learning models to support algorithmic trading strategies, and drive business decisions in ...

Deep Genomics

Senior MLOps Engineer

Toronto, ON

With expertise spanning machine learning, bioinformatics, data science, engineering, and drug ... Flexible work environment - including flexible hours, extended long weekends, holiday shutdown ...

Virtusa

Data Engineer

Toronto, ON

Generative AI and Machine Learning: Lead the development and deployment of LLM-based automation, Retrieval-Augmented Generation (RAG) pipelines, and AI agent systems (using tools like OpenAI ...

Virtusa

Data Engineer

Toronto, ON · On-site

Generative AI and Machine Learning: Lead the development and deployment of LLM-based automation, Retrieval-Augmented Generation (RAG) pipelines, and AI agent systems (using tools like OpenAI ...

Cogeco

Data Scientist

Burlington, ON

Utilize machine learning techniques to improve customer segmentation, churn prediction, and personalized marketing efforts. * Plan and execute analytical experiments to help solve business problems.

Manulife

Data Scientist

Toronto, ON · Hybrid

Designing and solutioning AI/GenAI architectures (LLM/SLM/Machine learning models) to address real business problems. * Leading and contributing to development of proof of concepts, pilots, and ...

Achievers

Data Scientist

Toronto, ON

In this role, you'll research and develop innovative AI and Machine Learning based approaches to help us deliver on our vision to make sure every employee feels valued, engaged, and knows their voice ...

Royal Bank of Canada

Data & AI Engineer

Toronto, ON · Hybrid

Our ecosystem is a mix of big data pipelines, machine learning models, full stack applications and microservices. We are looking for a Data & ML Engineer to contribute and build upon the ecosystem ...

Royal Bank of Canada

Data Scientist

Toronto, ON

Develop and implement machine learning models and algorithms to address specific business problems. * Collaborate with cross-functional teams (e.g., data engineers, product managers, business ...

Royal Bank of Canada

Data Scientist

Toronto, ON

In this role, you will design and implement data science / machine learning solutions using RBC's enterprise suite of AI and analytics tools. The group specializes in taking full advantage of large ...

Braze

Data Scientist, AI Deployment

Toronto, ON · Hybrid

CA$125K - CA$188K/yr

WHAT YOU'LL DO Our Data Scientist, AI Deployment team is a group of creative technical experts who design and build end-to-end machine learning solutions that power 1-to-1 personalization for some of ...

Zurich Insurance Group

Data Platform Lead

Toronto, ON · On-site

Machine Learning & GenAI o Design, build, evaluate, and deploy machine learning models (e.g., forecasting, optimization, classification, personalization) and generative AI solutions. o Leverage ...

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Lead Data Scientist, Next Best Action

Lead Data Scientist, Next Best Action

Royal Bank of Canada

Toronto, ON

Full-time

Posted 14 days ago

Job description

Job Description

What is the opportunity?

The Next Best Action (NBA) Machine Learning team of Personal Banking is seeking a seasoned, passionate and innovative Lead Data Scientist. In this role, you will lead efforts to solve complex AI/ML problems, analyze data, design solutions, and implement and monitor machine learning applications using cutting-edge tools and algorithms. Our mission is to remain at the forefront of the industry by enhancing client relationships and engagement through the execution of our NBA Strategy. To achieve this, we harness RBC's extensive data assets and advanced AI capabilities to drive impactful client communications.

What will you do?

  • Collaborate with RBC internal partners to define use cases and design tailored AI solutions that address business needs.

  • Prepare, parse, and integrate large structured and unstructured datasets for model training and inference while ensuring data privacy and unbiased outcomes.

  • Design, develop, and operationalizestate-of-the-artmachine learning models, including feature engineering, model deployment, monitoring, and maintenance.

  • Lead the migration of models to cloud environments and expand the NBA System's marketing actions and machine learning capabilities.

  • Continuouslyvalidateand improve AI model performance to deliver innovative, scalable solutions.

  • Research and evaluate emerging technologies to drive innovation andmaintainRBC's leadership in AI-driven client engagement.

  • Mentor junior data scientists and foster a collaborative, high-performing team environment.

What do you need to succeed?

Must-have

  • Master'sin computer science, ComputerEngineeringor similar field.

  • 4+ years of hands-on experienceapplyingMachine Learning,preferablyinCustomerMarketinginitiatives.

  • Experience in executingend-to-endmachine learning lifecycle.

  • Proficiencyin Python and libraries likePySpark, TensorFlow/PyTorch, and Scikit-learn.

  • Experience with big data ecosystems (e.g., Hadoop/Spark) and cloud platforms (e.g.,AWS,Azure,GCP)

  • Understanding and hands-on experienceof interpretabilitytools (e.g., SHAP).

  • Proficiencyin writing and understanding complex SQL queries for data manipulation and feature engineering.

  • Strong interpersonal and communication skills to convey technical insights to diverse audiences.

  • Passion for ethical AI, including algorithm transparency and interpretability.

Nice to have

  • Experience deploying machine learning models into production usingMLOpstools such asAirflow (e.g., DAGs),MLflow,andKubeflow.

  • Familiarity with financial services data and regulatory compliance.

  • Expertisein running A/Btestsand causal inference methods.

What's In For You?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

  • A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable.

  • Leaders who support your development through coaching and managing opportunities

  • Ability to make a difference and lasting impact

  • Work in a dynamic, collaborative, progressive, and high-performing team

  • Opportunities to take on progressively greater accountabilities.

  • Access to a variety of job opportunities across business and geographies.

#LI-POST
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Job Skills

Artificial Intelligence (AI), Artificial Intelligence (AI), Automated Machine Learning (AutoML), Big Data Management, Commercial Acumen, Communication, Data Mining, Data Science, Data Science for Banking, Decision Making, Deep Learning, Leadership, Machine Learning (ML), Machine Learning Algorithms, Machine Learning Methods, Machine Learning Model Management, Marketing Campaigns, Natural Language Programming (NLP), Predictive Analytics, Problem Solving, PySpark, Python (Programming Language), Python Frameworks, Software Development, Statistical Machine Learning {+ 1 more}

Additional Job Details

Address:

RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

PERSONAL & COMMERCIAL BANKING

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-04-15

Application Deadline:

2026-05-31

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Employment Type: FULL_TIME

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