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Director Data Analyst Machine Learning Jobs in Toronto, ON

Manulife

Senior Data Scientist

Toronto, ON · Hybrid

As a Senior Data Scientist supporting our Canadian AI team, you will play a key leadership role in ... Lead complex analytics, machine learning, and generative AI initiatives from problem framing ...

Moneris

Senior Manager, Data Engineering

Toronto, ON · On-site +1

CA$142K - CA$177K/yr

... analytics, machine learning, and business intelligence initiatives. Working closely with ... Reporting Relationship : You will report to the Director, Data Engineering Posting Type

Bree

Machine Learning Engineer

Toronto, ON · On-site

$100 - $130/hr

Collaborate with data engineers to develop high-performance data pipelines for training and ... Strong analytical and problem-solving skills to translate business needs into scalable ML solutions.

Td

Machine Learning Engineer

Toronto, ON · On-site

CA$120K - CA$250K/yr

Analytics, Insights, & Artificial Intelligence Pay Details: $120,000 - $250,000 CAD The pay details ... Architect scalable machine learning and Gen AI systems that integrate with existing data platform ...

MasterCard

Director, Data Scientist

Toronto, ON · Hybrid

The Mastercard Security Solutions Data Science team is seeking a Director of Data Science to lead the development and delivery of machine learning models focused on Anti-Money Laundering and crypto ...

Td

Applied Machine Learning Scientist II

Toronto, ON · On-site

CA$125K - CA$154K/yr

Graduate degree is considered an asset. 5+ years of relevant experience in machine learning, advanced analytics, data science, model evaluation, or related fields. Nice to Have Experience working in ...

Clio

Machine Learning Engineer

Toronto, ON · Hybrid

CA$129K - CA$174K/yr

Proficiency in data manipulation, cleaning, and preprocessing for complex unstructured datasets; * Experience with agentic frameworks and workflows * Experience working with open-source LLM ...

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All JobsData Analyst Machine Learning JobsDirector Data Analyst Machine Learning JobsDirector Data Analyst Machine Learning Jobs in Toronto, ON

Director Data Analyst Machine Learning information

What is the difference between Director Data Analyst Machine Learning vs Data Scientist?

AspectDirector Data Analyst Machine LearningData Scientist
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related fields; experience in machine learningBachelor's or Master's in Data Science, Statistics, Computer Science; strong programming skills
Work EnvironmentLeads teams, manages projects, strategic planningHands-on data analysis, model development, experimentation
Employer & Industry UsageTech companies, finance, healthcare, retailResearch institutions, tech firms, consulting

The main difference is that the Director Data Analyst Machine Learning oversees teams and strategic initiatives, while Data Scientists focus on developing models and analyzing data directly. The director role emphasizes leadership and project management, whereas data scientists are more hands-on with technical tasks.

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Director Data Analyst Machine Learning jobs near you

Senior Data Scientist

Manulife

Toronto, ON • Hybrid

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago

Job description

As a Senior Data Scientist supporting our Canadian AI team, you will play a key leadership role in developing analytics, machine learning, generative AI, and emerging agentic AI solutions that generate business insights, improve decision-making, and advance strategic priorities across the organization. You will lead and deliver complex data science initiatives, guide experimentation with new AI capabilities, and transform large, diverse datasets into actionable recommendations and scalable AI-enabled opportunities.

Beyond technical expertise, you'll mentor junior data scientists, champion best practices in Responsible AI and AI evaluation, and collaborate with business, product, engineering, and platform partners to drive meaningful business outcomes.

Position Responsibilities:

  • Lead complex analytics, machine learning, and generative AI initiatives from problem framing through implementation.
  • Define analytical approaches, model strategies, evaluation methods, and success measures for high-impact AI use cases.
  • Guide experimentation with AI assistants, copilots, RAG solutions, and agentic workflows in partnership with Agentic Engineers and technology teams.
  • Apply advanced statistical modeling, machine learning, experimentation, and AI evaluation techniques to solve business problems.
  • Translate complex analytical findings and AI outputs into clear, implementable recommendations for business stakeholders and leaders.
  • Prepare business cases for assigned initiatives, including expected benefits, adoption considerations, risks, and lessons learned from related business contexts.
  • Develop an intimate understanding of supported business areas, including value chains, customer journeys, operating context, and company culture.
  • Anticipate and proactively address peer review, governance, and model risk management considerations through clear documentation and defensible analytical choices.
  • Provide guidance and mentorship to junior data scientists, facilitate best-practice exchange, and share technical expertise across the team.
  • Contribute reusable approaches for experimentation, model validation, and AI solution assessment within assigned initiatives and the broader data science practice.
  • Build a strong internal network across business, data science, engineering, platform, and governance partners, and share lessons learned to advance practice maturity.

Required Qualifications:

  • Advanced degree in Statistics, Mathematics, Computer Science, Engineering, Data Science, Artificial Intelligence, or related field; or Bachelor's degree with equivalent technical experience.
  • Minimum of 5 years of applicable experience in data science, advanced analytics, machine learning, or AI solution development.
  • Advanced programming capability in Python, R, or similar analytical programming languages; strong SQL experience preferred.
  • Advanced understanding of programming, statistics, machine learning, exploratory data analysis, data visualization, model production, insight generation, and data wrangling.
  • Deep knowledge of statistical modeling, machine learning algorithms, experimental design, model evaluation, and analytical storytelling.
  • Experience leading complex data science initiatives from discovery through implementation.
  • Working knowledge of generative AI, LLMs, prompt engineering, embeddings, RAG, AI evaluation, or agentic AI concepts.
  • Ability to influence stakeholders, develop business cases, and communicate complex technical concepts to senior audiences.
  • Experience mentoring data scientists and promoting technical best practices.

Preferred Qualifications:

  • Experience with Azure, Databricks, Git, MLflow, model monitoring, or cloud-based AI/ML development environments.
  • Familiarity with LLMOps, MLOps, model governance, Responsible AI, privacy, security, and model risk management.
  • Experience with vector databases, semantic search, embeddings, RAG pipelines, or knowledge retrieval architectures.
  • Exposure to LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar agentic AI frameworks.
  • Experience supporting AI product development, experimentation portfolios, proof-of-concepts, MVPs, or scaled enterprise deployments.
  • Experience in financial services, insurance, or another regulated environment.

When you join our team:

  • We'll empower you to learn and grow the career you want.
  • We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words.
  • As part of our global team, we'll support you in shaping the future you want to see.

#LI-Hybrid

The role being advertised is an existing vacancy.

About Manulife and John Hancock

Manulife Financial Corporation is a leading international financial services provider, helping people make their decisions easier and lives better. To learn more about us, visit https://www.manulife.com/en/about/our-story.html.

Manulife is an Equal Opportunity Employer

At Manulife/John Hancock, we embrace our diversity. We strive to attract, develop and retain a workforce that is as diverse as the customers we serve and to foster an inclusive work environment that embraces the strength of cultures and individuals. We are committed to fair recruitment, retention, advancement and compensation, and we administer all of our practices and programs without discrimination on the basis of race, ancestry, place of origin, colour, ethnic origin, citizenship, religion or religious beliefs, creed, sex (including pregnancy and pregnancy-related conditions), sexual orientation, genetic characteristics, veteran status, gender identity, gender expression, age, marital status, family status, disability, or any other ground protected by applicable law.

It is our priority to remove barriers to provide equal access to employment. A Human Resources representative will work with applicants who request a reasonable accommodation during the application process. All information shared during the accommodation request process will be stored and used in a manner that is consistent with applicable laws and Manulife/John Hancock policies. To request a reasonable accommodation in the application process, contact hr@manulife.com.

Referenced Salary Location

Toronto, Ontario

Working Arrangement

Hybrid

Salary range is expected to be between

$129,400.00 CAD - $179,400.00 CAD

Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job-related factors such as knowledge, skills, qualifications, experience, and education/training. If you are applying for this role outside of the primary location, please contact hr@manulife.com for the salary range for your location.

Manulife offers eligible employees a wide array of customizable benefits, including health, dental, mental health, vision, short- and long-term disability, life and AD&D insurance coverage, adoption/surrogacy and wellness benefits, and employee/family assistance plans. We also offer eligible employees various retirement savings plans (including pension and a global share ownership plan with employer matching contributions) and financial education and counseling resources. Our generous paid time off program in Canada includes holidays, vacation, personal, and sick days, and we offer the full range of statutory leaves of absence. If you are applying for this role in the U.S., please contact hr@manulife.com for more information about U.S.-specific paid time off provisions.

We use data and analytics technologies, such as artificial intelligence (AI), and automated processing tools, to analyze and process the information you provide to us or third parties in the application process. For more information, please refer to our personal information collection statement.

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