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Data Science Associate Jobs in Markham, ON (NOW HIRING)

Purpose Contributes to the overall success of the Data Engineering Team under GOCT Solution ... Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent ...

Data Engineering Specialist

Toronto, ON · Hybrid

CA$84K - CA$115K/yr

Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. * 6+ years ... Data engineering certification (e.g., Databricks Certified Data Engineering Associate or ...

... like data scientists, process managers, and product owners. Our strategy analysts are deployed ... with associates in other job families such as Data Scientists and Product Managers, working to ...

Data Engineer

Concord, ON

CA$90K - CA$150K/yr

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect ... With several offices across North America, we offer a range of engineering, science, and technical ...

Data Engineer

Markham, ON

CA$90K - CA$150K/yr

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect ... With several offices across North America, we offer a range of engineering, science, and technical ...

Data Systems Analyst

Brampton, ON · On-site

CA$75K - CA$95K/yr

Bachelor's degree in Computer Science, Engineering, Data, Analytics, or a related field. * 4 to 6 ... Associate Discount Program where you will be able to enjoy some of the world's best sleep products

Showing results 41-60

Data Science Associate information

How does a data science associate typically collaborate with other departments or teams within an organization?

Data Science Associates frequently work cross-functionally, partnering with teams such as engineering, product management, and business analytics to understand project requirements, share findings, and implement data-driven solutions. Collaboration often involves translating complex data results into actionable insights for non-technical stakeholders, ensuring alignment on project goals and deliverables. This role requires strong communication skills, as associates routinely participate in meetings, present analyses, and gather feedback to refine their models or analyses. Effective teamwork helps ensure that data science initiatives support broader business objectives.

What can I do with a data science associate?

A data science associate typically supports data analysis, data cleaning, and model development using tools like Python, R, or SQL. They may assist in preparing reports, visualizations, and insights for decision-making, often working under the guidance of senior data scientists or analysts.

What is a data science associate?

Data Science Associates are early-career professionals who support data-driven projects by collecting, cleaning, analyzing, and interpreting large datasets. They typically work under the guidance of more experienced data scientists and help build predictive models, generate reports, and provide insights to inform business decisions. This role often requires proficiency in programming languages like Python or R, familiarity with statistical methods, and strong problem-solving skills. Data Science Associates play a crucial part in transforming raw data into actionable information for organizations.

What are the key skills and qualifications needed to thrive as a data science associate?

To thrive as a Data Science Associate, you need strong analytical skills, a solid foundation in statistics and mathematics, and proficiency in programming languages like Python or R, often supported by a degree in data science, computer science, or a related field. Familiarity with machine learning frameworks, data visualization tools, and database systems such as SQL is typically required. Excellent problem-solving abilities, effective communication, and collaboration skills help you translate complex data insights into actionable business strategies. These skills are vital for extracting meaningful value from data and supporting data-driven decision-making within organizations.

What is the difference between Data Science Associate vs Data Analyst?

AspectData Science AssociateData Analyst
Required CredentialsBachelor's degree in Data Science, Statistics, or related field; some roles prefer certifications in data analysis or programmingBachelor's degree in Statistics, Mathematics, or related field; often no advanced certifications required
Work EnvironmentCollaborates with data scientists and engineers; involved in building models and algorithmsFocuses on data collection, cleaning, and reporting; supports decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and consulting firms for data-driven projectsCommon across various industries for business insights and reporting

The Data Science Associate role typically involves more technical work like building models and applying machine learning, whereas Data Analysts focus on interpreting data and creating reports. Both roles require strong analytical skills, but Data Science Associates often have a deeper understanding of programming and statistical modeling.

What are the most commonly searched types of Data Science jobs in Markham, ON? The most popular types of Data Science jobs in Markham, ON are:
What cities near Markham, ON are hiring for Data Science Associate jobs? Cities near Markham, ON with the most Data Science Associate job openings:

Associate Director - Lead Data Modeler/Analyst

Royal Bank of Canada

Toronto, ON

Full-time

Posted 17 days ago


Job description

Job Description

What is the opportunity?

The Trading & Execution Services (TES) Data Services team within Capital Markets Technology has elevated data to first-class citizen status, providing strategic solutions for the capture, retention, analysis, and reporting of all transactional data spanning the Capital Markets cross-asset front-office trading lifecycle. Our team is responsible for ingesting and managing cross-asset trading data on our cloud data lake. We consolidate pre trade data from internal RBC trading execution systems and external Independent Software Vendors (ISVs) to deliver high-quality, standardized data products that power front office decision-making across all asset classes.

We are building a world-class data organization that leverages artificial intelligence and modern cloud-native architectures to transform how capital markets professionals access and consume data.

We are looking for a Associate Director - Lead Data Modeler/Analyst to lead the design and delivery of enterprise-grade data models across our cloud data lake. This is a senior leadership position that requires equal command of technical depth and business acumen. You will own the end-to-end data modeling strategy, build and manage a team of data analyst professionals, and serve as the connective tissue between front office stakeholders and backend engineering teams.

This role demands a self-driven leader who can operate independently, engage confidently with senior stakeholders, and deliver results at pace in a complex, multi-asset trading environment.

What will you do?

  • Analyze cross-asset data from internal RBC systems and external ISV sources to understand data lineage, relationships, and gaps
  • Design and implement standardized, scalable data models that serve as the foundation for a unified presentation layer organized by asset class and product
  • Engage early in project lifecycles to conduct thorough data gap analysis and identify quality issues before they propagate downstream
  • Partner with upstream source teams to define data contracts, track remediation efforts, and ensure sustained data quality improvements
  • Liaise with adjacent teams to diagnose, adjust, and resolve data system issues across the trading data ecosystem
  • Leverage generative AI tools and techniques as the primary methodology for data exploration, profiling, pattern detection, and model prototyping
  • Coach and mentor direct reports to adopt AI-first workflows in their daily analysis and modeling activities
  • Drive rapid proof-of-concepts using cloud data lake resources to demonstrate value and validate approaches for front office requirements
  • Contribute to the broader data strategy for the QTS division and influence architectural decisions across the platform
  • Liaise with external stakeholders & ISV to establish data connectivity with RBC for exchange of data & get sample data for analysis & work with them to remediate data gaps with respect to RBC requirements.

What do you need to succeed?

Must-have:

  • Bachelor's degree in computer science, Software Engineering, Information Systems, Mathematics, or related field
  • 10+ years of progressive experience in data architecture, data modeling, and data strategy roles
  • 6+ years working in capital markets with hands-on exposure to multiple asset classes (equities, fixed income, derivatives, FX, commodities) & deep understanding of capital markets trading workflows, trade lifecycle, and market data structures
  • Demonstrated people management experience with a track record of building and developing high-performing teams
  • Proven ability to operate at a senior level, influencing decisions and managing relationships with executive stakeholders
  • Expert proficiency in data modeling methodologies (conceptual, logical, physical) and experience designing data architectures for cloud-native data lakes and lakehouses at enterprise scale
  • Hands-on experience with industry-standard communication protocols like FIX (Financial Information Exchange).
  • Advanced SQL and Python skills for data analysis, profiling, and transformation
  • Solid understanding of ETL/ELT patterns, data pipeline orchestration, and real-time data ingestion
  • Working experience with using AI tools to speed up data analysis & us AI for productivity improvement in space of data analysis, modelling & mapping generation.

Nice-to-have:

  • Familiarity with data from major financial ISVs and market data providers
  • Demonstrated experience using AI/ML techniques for data analysis, data quality assessment, or automated model generation. Prior hands-on use of generative AI tools (e.g., Copilot or similar) applied to data engineering or modeling workflows
  • Knowledge of regulatory data requirements (MiFID II, CFTC, Dodd-Frank) and their impact on data architecture
  • Experience with data visualization and BI tools (Power BI, Tableau) for building executive-facing data products

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 a dynamic, collaborative, progressive, and high-performing team
  • A world-class training program in financial services
  • Flexible work/life balance options
  • Opportunities to do challenging work

#LI-POST

#TechPJ

Job Skills

Architectural Modeling, Business Analysis, Capital Markets (Trading), Critical Thinking, Data Analysis, Data Architecture Development, Data Modeling, Data Warehousing (DW), Enterprise IT Architecture, ETL Processing, FIX Connectivity, Information Technology Consulting, Logical Data Modeling, Multi-Level Communication, People Management, Physical Database Design, Stakeholder Management

Additional Job Details

Address:

RBC CENTRE, 155 WELLINGTON ST W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

CAPITAL MARKETS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-07-24

Application Deadline:

2026-08-30

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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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