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Data Science And Analytics Jobs in Ontario (NOW HIRING)

... Science portfolio. This includes helping build the foundational data assets, profiling logic, analytical workflows, and machine learning approaches needed to better understand merchant behavior ...

Senior Data Scientist

Mississauga, ON ยท On-site

CA$156K - CA$290K/yr

Beyond hands-on analytics, you will mentor junior colleagues, promote best practices, and lead complex projects - shaping the way data science and statistics contribute to PT's success. Main ...

What You'll Be Doing The Manager, Data Science is responsible for providing analytics support to ... This involves working with multiple stakeholders on data analysis, process engineering for ...

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

What You'll Be Doing The Manager, Data Science is responsible for providing analytics support to ... This involves working with multiple stakeholders on data analysis, process engineering for ...

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

This position will report to the Head of Data Science and Geospatial Analytics. The ideal candidate is a practitioner who thinks first like an economist, real estate analyst, or quantitative urban ...

Extract, clean, and analyze large volumes of interaction data from various sources to identify ... Stay abreast of the latest advancements in machine learning, data science, and human-computer ...

You have experience in the Retail and Customer Analytics industry. * You have experience with defining strategy/vision for the data science function, aligning it with the overall business strategy.

Data Scientist

Woodbridge, ON

CA$85K - CA$115K/yr

Data Science and Analytics Location: 6300 Steeles Ave West, Woodbridge Total Potential Compensation: $85,000-$115,000 Position Summary: The successful candidate will assist in leveraging customer ...

Data Scientist

Toronto, ON

CA$68K - CA$100K/yr

Analyze large and complex, structured and unstructured data. Prepare AI-ready data models * Ensure the accuracy and reliability of data science models, conduct peer reviews of AI and other predictive ...

New

... for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our Fraud, Losses, and Financial Crime Data Science team builds the models and data ...

New

Showing results 21-40

Data Science And Analytics information

Is data science and analytics still in demand?

Data science and analytics roles remain highly in demand across various industries due to the increasing reliance on data-driven decision making. Professionals with skills in programming, statistical analysis, and tools like Python, R, or SQL are sought after, and the field continues to grow as organizations prioritize data insights for competitive advantage.

What jobs can I get with a data science and analytics degree?

A degree in data science and analytics can lead to roles such as data analyst, data scientist, business intelligence analyst, machine learning engineer, and data engineer. These positions typically require skills in programming languages like Python or R, statistical analysis, and data visualization tools, and often involve working with large datasets to inform business decisions.

What can I do with data science and analytics?

Data science and analytics professionals analyze large datasets to extract insights, support decision-making, and improve business processes. They use tools like Python, R, and SQL, and often work in environments that require strong statistical and programming skills. These roles can lead to careers in industries such as finance, healthcare, marketing, and technology.

What are the key skills and qualifications needed to thrive as a data science and analytics professional, and why are they important?

To thrive in Data Science and Analytics, you need strong skills in statistics, data manipulation, and programming, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools like Python, R, SQL, and data visualization platforms such as Tableau, along with knowledge of machine learning frameworks, is highly valued. Strong problem-solving ability, critical thinking, and effective communication skills help translate complex data findings into actionable business insights. These skills are crucial for turning raw data into strategic decisions that drive organizational success.

What is data science and analytics?

Data Science and Analytics refer to the fields that focus on extracting meaningful insights from large and complex data sets. Data Science combines statistics, computer science, and domain knowledge to analyze data, build predictive models, and support data-driven decision-making. Analytics, which is a core part of data science, involves examining data to discover trends, patterns, and correlations that can help organizations solve problems or improve processes. Professionals in these fields use tools such as Python, R, SQL, and machine learning algorithms to analyze data and communicate findings to stakeholders.

What is the difference between Data Science And Analytics vs Data Analysis?

AspectData Science And AnalyticsData Analysis
Required SkillsStatistical modeling, programming, machine learningData cleaning, descriptive statistics, visualization
Work EnvironmentCross-functional teams, R&D, predictive modelingBusiness reporting, dashboards, ad hoc analysis
Tools & TechnologiesPython, R, SQL, Hadoop, SparkExcel, SQL, Tableau, Power BI
Industry UsageTech, finance, healthcare, marketingRetail, finance, healthcare, operations

Data Science And Analytics involves advanced techniques like machine learning and predictive modeling, often requiring programming skills. Data Analysis focuses on interpreting existing data through descriptive statistics and visualization for decision-making. Both roles are essential but differ in complexity and scope.

What are some common challenges faced by data science and analytics professionals when working with cross-functional teams?

Data science and analytics professionals often collaborate with colleagues from diverse backgrounds such as engineering, marketing, and business operations. One common challenge is translating complex analytical findings into actionable insights that non-technical stakeholders can easily understand. Additionally, aligning project objectives and timelines across teams can require strong communication and project management skills. Overcoming these challenges is essential for ensuring that data-driven solutions are effectively implemented and contribute to organizational goals.
What cities in Ontario are hiring for Data Science And Analytics jobs? Cities in Ontario with the most Data Science And Analytics job openings:
Infographic showing various Data Science And Analytics job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Scientist, AML Analytics

Royal Bank of Canada

Toronto, ON โ€ข On-site

Full-time

Re-posted 18 days ago


Job description

Job Description

What is the opportunity?

The Data Scientist, AML Analytics is mandated to develop and maintain an efficient and effective AML/ATF Transaction Monitoring program that considers regulatory expectations, industry trends and innovation opportunities. Utilizing sophisticated tools and techniques the Senior Data Scientist of Global AML Transaction Monitoring will develop and tune new and existing solutions used to identify suspicious activity, analyze data to identify RBC clients who present an elevated level of risk (financial & reputational) and continuously look for opportunities to provide more relevant and valuable intelligence to the Global AML program.

What will you do?

  • Enhance AML Analytics solutions with advanced network analysis features

  • Develop new AML Analytics solutions with machine learning and data science techniques

  • Explore Network Analysis techniques and methodologies and apply them to AML monitoring

  • Present newly developed models with clear visualizations to the Senior Data Scientist and/or Director, AML Analytics

  • Identify opportunities in applying new technologies to AML analytics

  • Develop required documentation and monitoring methodology for models

  • Provide recommendations to the Senior Data Scientist and/or Director, AML Analytics on any findings of model performance

  • Collaborate with the Senior Data Scientist and/or Director, AML Analytics to prioritize development of monitoring solutions

  • Collaborate with other Monitoring & Analytics teams to identify and remediate RBC risk exposure, and implement / tune transaction monitoring solutions as necessary to address risk

  • Collaborate with business partners, industry peers and external vendors to improve effectiveness and efficiency of transaction monitoring program

  • Identifying industry best practices and new technologies for strategic consideration by the AML Monitoring and AML Governance Committee

What do you need to succeed?

Must have

  • Strong data, analytical, quantitative method and problem-solving skills

  • Expertise in analyzing and manipulating large datasets with Python

  • Proficiency and familiarity with different SQL databases and GitHub

  • Experience in using data visualizations to elaborate model performance with Python

  • Understands project's needs and ability to translate these into detection models

  • Experience with supervised and unsupervised learning, network analysis, and NLP

  • Proven excellent written and oral communication skills to convey complex concepts to a non-technical audience

  • Strong capability in exploratory data analysis and feature development

  • Knowledge and continuous updating of AI tools and their effective application in workflows

  • Knowledge of Banking products is a bonus (Wire, E-Transfer, Equity, Electronic ACH, etc..)

Nice to have

  • Graduate degree (MBA or relevant subject matter area)

  • Certified Anti-Money Laundering Specialist (CAMS) designation or other related certification

What's in it 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 an agile, collaborative, progressive, and high-performing team

  • The opportunity to interface with senior level executives from many different parts of the organization

#LI-Post

Job Skills

Anti-Money Laundering (AML), Business Perspective, Client Counseling, Communication, Decision Making, Financial Regulation, Fraud Risk Management, Group Problem Solving, Internal Controls, Operational Integrity

Additional Job Details

Address:

20 KING ST W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

GROUP RISK MANAGEMENT

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-06-18

Application Deadline:

2026-08-10

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