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Data Science Contract Jobs in Toronto, ON (NOW HIRING)

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Mechanical Contract Administrator

Toronto, ON

CA$85K - CA$104K/yr

Strong mechanical building science background with an excellent understanding of construction ... We look at annual market data to understand how different roles are compensated in our industry ...

EnStream LP

Director, Sales

Toronto, ON · On-site

$150 - $190/hr

Negotiate new contracts and renewal agreements. New Business Development * Identify, qualify, and ... Our latest initiative leverages advanced data science, machine... #J-18808-Ljbffr

AstraZeneca

Scientist, Animal Science

Hamilton, ON · Hybrid

... data in compliance with applicable regulatory, statutory, company, and SHE requirements ... Fixed Term Contract/Temporary positions (excluding students) are offered a Contract Benefits ...

Td

Data Engineer III

Toronto, ON

CA$96K - CA$136K/yr

University degree in Computer Science, Data Engineering, Information Systems, Engineering ... based contracts. * Experience in banking, financial services, regulated enterprises, or large ...

GEI Consultants

Data Engineer

Markham, ON · On-site

CA$90K - CA$150K/yr

Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution ... With several offices across North America, we offer a range of engineering, science, and technical ...

GEI Consultants

Data Engineer

Concord, ON · On-site

CA$90K - CA$150K/yr

Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution ... With several offices across North America, we offer a range of engineering, science, and technical ...

Td

AVP, Data Products and Engineering

Toronto, ON · On-site

CA$155K - CA$215K/yr

AI Products and Decision Sciences for Agentic AI, workflow orchestration, experimentation ... data contracts. * Cycle time from opportunity discovery through prototype, business validation ...

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All JobsData Science Contract JobsData Science Contract Jobs in Toronto, ON

Data Science Contract information

What is a data science contract?

A Data Science Contract job is a temporary or project-based role where a data scientist is hired for a specific period to work on data-related tasks such as analysis, machine learning, or model development. These roles can be short-term (a few months) or long-term but lack the benefits and job security of full-time employment. Contract data scientists often work with multiple clients, bringing expertise to solve business problems without a long-term commitment.

What kinds of projects and day-to-day tasks can I expect as a data science contract professional?

As a Data Science Contract professional, you can expect to work on a variety of projects such as developing predictive models, analyzing large datasets, creating data visualizations, or advising organizations on best practices for data-driven decision making. Your day-to-day tasks may involve collaborating closely with clients or internal stakeholders to clarify objectives, cleaning and preparing data, developing algorithms, and presenting your findings in clear, actionable formats. Projects often vary in length and scope, offering exciting opportunities to tackle new business challenges across different industries. Flexibility and effective time management are essential, as balancing project deadlines and adapting quickly to new tools or domains are common aspects of contract-based work.

What are the key skills and qualifications needed to thrive in the data science contract position, and why are they important?

To thrive as a Data Science Contract professional, you need a strong foundation in statistical analysis, machine learning, data manipulation, and advanced proficiency in programming languages such as Python or R, typically supported by a relevant degree. Experience with data visualization tools, cloud platforms, and certifications like AWS Certified Data Analytics or Microsoft Certified: Data Scientist are highly valued. Excellent communication, problem-solving abilities, and adaptability are crucial soft skills for collaborating with diverse teams and interpreting client needs. These skills ensure that contract-based data scientists can deliver actionable insights, adapt to new environments, and effectively address client-specific problems within limited project timelines.

What are the most commonly searched types of Data Science jobs in Toronto, ON?

The most popular types of Data Science jobs in Toronto, ON are:

What are popular job titles related to Data Science Contract jobs in Toronto, ON?

For Data Science Contract jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Data Science Contract jobs in Toronto, ON look for?

The top searched job categories for Data Science Contract jobs in Toronto, ON are:

What cities near Toronto, ON are hiring for Data Science Contract jobs?

Cities near Toronto, ON with the most Data Science Contract job openings:

Data Science Contract jobs near you
Infographic showing various Data Science Contract job openings in Toronto, ON as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution.

Lead Data Engineer & Operations Support

Royal Bank of Canada

Toronto, ON • On-site

Full-time

Retirement

Posted 15 days ago

Key responsibilities

  • Lead requirements definition and translate complex business needs into technical specifications.

  • Architect, build, and own dashboards, scorecards, and reporting frameworks for senior leadership.

  • Troubleshoot data connectivity, integration issues, and lead proactive improvements in data pipelines.

Job description

Job Description

What is the opportunity?

The Engineering team is driving multiple complex, enterprise-wide initiatives to build RBC's next-generation data platform - one that is AI-ready, scalable, and trusted across the organization. In this senior role, you will serve as a technical lead and strategic partner: shaping how data flows, how AI/ML systems consume it, and how analytics insights reach decision-makers. You will own end-to-end delivery - from requirements through production - while mentoring teams and influencing platform direction.

What will you do?

  • Lead requirements definition and translate complex business needs into precise technical specifications: data contracts, transformation logic, AI/ML feature requirements, non-functional requirements, and acceptance criteria.

  • Drive deep-dive analyses on customer behavior, product performance, campaign outcomes, and channel effectiveness - with a lens toward AI-augmented insight generation and predictive opportunity identification.

  • Architect, build, and own dashboards, scorecards, and executive reporting frameworks; define standards for how data products are presented to senior leadership.

  • Act as a technical bridge between business stakeholders, engineering, and data science teams - validating source-to-target mappings, enforcing data quality, and ensuring AI/ML pipelines consume reliable, well-governed data.

  • Lead production readiness reviews, post-implementation validation, and continuous improvement cycles to ensure solutions are accurate, stable, and performing at scale.

  • Mentor and guide junior analysts and engineers; establish best practices for analytics engineering, data quality, and AI-ready data design across the team.

  • Data Pipeline Monitoring & Maintenance

  • Troubleshooting & Incident Response

  • Troubleshoot connections to databases, data warehouses, APIs, and external systems

  • Data Connectivity & Integration Support

  • Document troubleshooting procedures and known issues

  • Help data analysts and business users troubleshoot data access issues

  • Lead the implementation for proactive improvements like caching, indexing, and data partitioning strategies.

What do you need to succeed?

Must have :

  • 10+ years of progressive experience as a data analyst, analytics engineer, or senior business systems analyst - with a track record of delivering at enterprise scale.

  • Proven ability to lead complex, cross-functional data initiatives from ambiguous requirements through production delivery.

  • Deep expertise in data mapping, acceptance criteria definition, UAT leadership, and production validation for analytics or data platform solutions.

  • Expert-level SQL: complex multi-table joins, window functions, query optimization, and performance tuning on large enterprise datasets.

  • Strong understanding of AI/ML workflows and how data platforms must be designed to support feature engineering, model training pipelines, and real-time inference.

  • Hands-on knowledge of Kafka, schema registries, and event streaming concepts - including schema evolution, data contracts, and event quality validation.

  • Deep familiarity with modern data platform architectures: data warehouses, Lakehouses (e.g., Delta Lake, Iceberg), and how they serve both BI and AI use cases.

  • Exceptional stakeholder communication skills: able to translate technical complexity into clear narratives for senior and executive audiences.

Nice-to-have:

  • Domain experience in financial services - banking, credit data, or regulatory reporting.

  • Familiarity with LLM/GenAI integration patterns: RAG pipelines, embedding workflows, or AI-assisted analytics.

  • Experience with GitHub Actions and CI/CD for data pipelines.

  • Knowledge of Debezium, GraphQL, or ELK Stack (Elasticsearch / Logstash / Kibana).

  • Hands-on experience with cloud-native platforms: OpenShift, Kubernetes, S3 object storage.

  • MongoDB experience: querying semi-structured data, aggregation pipelines for analytics use cases.

  • Proficiency with BI tools (Tableau, Power BI) and data quality frameworks for trusted, governed reporting.

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 and pension plan.

  • Leaders who support your development through coaching and managing opportunities

  • Work in a dynamic, collaborative, progressive and highly performing team

  • Opportunities to do challenging work, making a difference and lasting impact on communities.

  • Enjoy a comfortable work environment with the option to dress casually.

  • Network and build lasting relationships with developers from diverse backgrounds from across Canada and the world.

#LI-POST

Job Skills

Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis

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:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-08-20

Application Deadline:

2026-09-27

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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