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Data Science Research Assistant Jobs in Toronto, ON

Data Science and Machine Learning * Translate business goals into analytical problems ... Research and pilot the latest GenAI technologies, RAG (Retrieval-Augmented Generation) techniques ...

DATA ANALYST & INTEGRATOR

Toronto, ON · Hybrid

CA$44.64 - CA$48.88/hr

Uses data science to formulate solutions and/or recommendations (i.e. including utilization of traditional research methods). * Uses statistical techniques (e.g. A/B testing, summary statistics on ...

Master's degree or PhD in Computer Science, Statistics, Mathematics, Engineering, Operations Research, Economics, or another related STEM field Experience * 2+ years of hands-on experience in data ...

Data Scientist II

Toronto, ON · On-site

CA$81K - CA$115K/yr

Internship, co-op, research, or project experience in data science, analytics, or relevant field * Experience with cloud-based platforms such as Microsoft Azure * Familiarity with PySpark * Knowledge ...

Data Scientist Manager

Maple, ON · On-site +1

CA$125K - CA$180K/yr

Commercial Data Science Location: Toronto, ON (Flexible working - 40% home office / week) About the ... Agentic AI powered Market research and competitive intelligence platform * Serve as the technical ...

Data Scientist Manager

Mississauga, ON · On-site +1

CA$125K - CA$180K/yr

Commercial Data Science Location: Toronto, ON (Flexible working - 40% home office / week) About the ... Agentic AI powered Market research and competitive intelligence platform * Serve as the technical ...

Support testing of AI assistants, copilots, RAG solutions, and agentic workflows in partnership ... Lead end-to-end data science projects of moderate scope, from problem framing through analysis and ...

Data Scientist Manager

Toronto, ON · On-site +1

CA$125K - CA$180K/yr

Commercial Data Science Location: Toronto, ON (Flexible working - 40% home office / week) About the ... Agentic AI powered Market research and competitive intelligence platform * Serve as the technical ...

Data Scientist Manager

Brampton, ON · On-site +1

CA$125K - CA$180K/yr

Commercial Data Science Location: Toronto, ON (Flexible working - 40% home office / week) About the ... Agentic AI powered Market research and competitive intelligence platform * Serve as the technical ...

Data Scientist Manager

Unionville, ON · On-site +1

CA$125K - CA$180K/yr

Commercial Data Science Location: Toronto, ON (Flexible working - 40% home office / week) About the ... Agentic AI powered Market research and competitive intelligence platform * Serve as the technical ...

... science, or quantitative research * Demonstrated track record of developing and implementing ... Strong SQL skills for data extraction and manipulation * Experience with version control (Git) and ...

... in Computer Science, Statistics, Mathematics, Engineering, Operations Research, Economics, or ... Experience mentoring Data Scientists and shaping technical standards beyond individual project ...

Lead Data Scientist

Mississauga, ON · On-site +1

CA$108K - CA$157K/yr

Commercial Data Science Location: Toronto, ON (Flexible working - 40% home office / week) About the ... Agentic AI powered Market research and competitive intelligence platform * Serve as the subject ...

Lead Data Scientist

Unionville, ON · On-site +1

CA$108K - CA$157K/yr

Commercial Data Science Location: Toronto, ON (Flexible working - 40% home office / week) About the ... Agentic AI powered Market research and competitive intelligence platform * Serve as the subject ...

Showing results 21-40

Data Science Research Assistant information

See Toronto, ON salary details

$15.7K

$79.7K

$183.7K

How much do data science research assistant jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data science research assistant in Toronto, ON is $79,723.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,650.00 and $117,861.00 per year, depending on experience, location, and employer.

What does a data science research assistant do?

A Data Science Research Assistant supports research projects by gathering, cleaning, and analyzing data using statistical and computational techniques. They assist senior researchers with designing experiments, developing models, and interpreting results. Typical tasks include data preprocessing, coding in languages like Python or R, literature reviews, and creating visualizations to summarize findings. Their work helps advance scientific knowledge and inform decision-making based on data-driven insights.

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

To thrive as a Data Science Research Assistant, you need a strong background in statistics, machine learning, and programming (often with a degree in computer science, statistics, or related fields). Familiarity with tools such as Python, R, Jupyter Notebooks, and data visualization libraries as well as experience with version control systems like Git is typical, and coursework or certifications in data science can be beneficial. Attention to detail, problem-solving ability, and strong communication skills are essential to effectively analyze data, interpret results, and collaborate with research teams. These skills and qualities are critical for producing reliable insights, supporting research objectives, and ensuring the integrity of data-driven projects.

How does a data science research assistant typically collaborate with other team members during a research project?

Data Science Research Assistants frequently work alongside data scientists, research leads, and subject matter experts to support ongoing research. Their responsibilities often include cleaning and preprocessing data, performing exploratory analyses, and implementing models. Regular collaboration occurs through team meetings, code reviews, and sharing findings, ensuring alignment with project goals. Open communication and adaptability are essential, as priorities and datasets can shift based on project needs.

What is the difference between Data Science Research Assistant vs Data Analyst?

AspectData Science Research AssistantData Analyst
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related fieldBachelor's or higher in Data Analysis, Statistics, or related field
Work EnvironmentResearch labs, academic institutions, or research-focused organizationsBusiness settings, corporate offices, or consulting firms
Employer & Industry UsageUniversities, research institutes, government agenciesCorporations, marketing firms, finance, healthcare
Common Search & ComparisonYesNo

Data Science Research Assistants typically focus on supporting research projects through data collection, analysis, and modeling in academic or research settings. Data Analysts primarily interpret data to help organizations make business decisions. While both roles require strong analytical skills and knowledge of data tools, the research assistant role emphasizes academic research and experimentation, whereas data analysts focus on business insights and reporting.

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

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

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

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

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

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

Infographic showing various Data Science Research Assistant 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 84% Physical, 6% Hybrid, and 10% Remote job distribution, with an average salary of $79,723 per year, or $38.3 per hour.

Senior Data Scientist

Sun Life Financial

Toronto, ON • On-site

Full-time

Re-posted 6 days ago


Sun Life Assurance Company of Canada rating

8.6

Company rating: 8.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

94th of 315 rated insurance


Job description

You are as unique as your background, experience and point of view. Here, you'll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do.


At Sun Life, we're driven by our Purpose: helping our Clients achieve lifetime financial security and live healthier lives. Our values shape how we work: caring, authentic, bold, inspiring, and impactful.


When you join Sun Life, you'll work with passionate colleagues and empowering leaders who support your growth and celebrate your contributions, so you can make a meaningful difference in our Clients' lives.


Discover how you can make a difference in the lives of individuals, families and communities around the world.


Job Description:

Please Note: This is a 16 month contract role

Role Summary

Within Sun Life, theData and Analytics COEcomprisedof savvy and intellectually curious professionals who are on a mission to transform how we apply data and analytics to support Sun Life becoming clientcentric. An integral part of theData and Analytics COEorganization, the Data ScienceCOEsupports Canadian business units in their journey toleveragedata and analytics as a foundational pillar in delivering business value.

Reporting to theDirector, Data Science,as aSenior Data Scientistyou will focus on supporting Canadian business units in accelerating the growth and application ofadvancedanalytics in driving value.The senior data scientist willleveragepractical experience in applying varied data science techniques & offering advice/inputs to help with the design, development and implementation of analytics use cases.

Sun Life views success in this role in demonstration of these key attributes:

Fierce curiosity.You are drawn to discovering andleveragingnew data and taking on challenging business puzzles.An inquisitive mind.Driven to ask questions to help lead projects to commercial value and not being afraid that the innovation attempts can and will lead to failing.A passion for solving problems.The most successful data scientists' solution for what the right data to use, they solve using the most suitable (not most advanced) algorithms for the problem at hand and figure out how to execute and deliver with highest efficiency.Technical skills in both data and computer science.There are 3 core technical skills we look for: in-depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and concepts; working with structured dataand unstructured data.Thirst for learning.You are a data scientist who is constantly updating their knowledge of data science state-of-the-art.

What you will do:

Data Science and Machine Learning

  • Translate business goals into analytical problems;Identifyoptimalalgorithms, statisticaltechniquesand/or GenAI architecture suitable for the business problem at hand
  • Work in cross-functional teams to develop ML/data science products, including GenAI applications
  • Apply best-in-breeddata science techniques including descriptive, predictive, and machine learning methods from design to implementation
  • Focus on feature engineering, model training, model evaluation, and prompt engineering for LLMs

GenAI & Agentic AI Development

  • Design, develop, and deploy GenAI solutions including AI agents, chatbots, and autonomous systems that solve complex business problems
  • Research and pilot the latest GenAI technologies, RAG (Retrieval-Augmented Generation) techniques, and agentic frameworks(LangChain,LangGraph,CrewAIetc.)
  • Implement AI bots/agents with advanced reasoning capabilities and tooluse patterns
  • Work with vector databases and embedding models to build intelligent information retrieval systems

Technical Leadership & Collaboration

  • Break down broader data science development milestones into actionable goals, activities, and work plans
  • Create andmaintaintechnical design artifacts describing application functionality, data models, interfaces, and integrations
  • Engage and negotiate with stakeholders, make business recommendations with effective presentations of findings at multiple levels of stakeholders
  • Champion continuous improvement and foster innovation within the analytics community

What you need to succeed:

  • Bachelor's degree in computer science, Statistics, Mathematics, or related field, or equivalent experience
  • 5+years experiencein developing and implementing data science techniques
  • Proficient in Python for data science and GenAI application development
  • Experience withwriting complex SQLandPySparkqueries to extract and integrate data from multiple database sources
  • Proficiencyin machine learning including supervised and unsupervised models
  • Demonstrated experience in data transformation, data manipulation, and working with structured vs. unstructured data
  • Strong understanding of APIs, microservices architecture, and cloud-native development
  • Hands-onexpertisewith GenAI frameworks and LLM APIswith experience developing AI bots/agents with reasoning and tool-use capabilities
  • Strong understanding of RAG techniques, prompt engineering, and fine-tuning methodologiesand familiarity with vector databases and embedding models
  • Experience with chatbot development concepts and conversational AI design
  • Exceptional communication skills to articulate complex technical concepts to both technical and non-technical stakeholders
  • Effective and concise oral and written storytelling and insights communication skills
  • Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities
  • Proven ability to mentor and guide junior data scientistsand data engineers
  • Strong problem-solving abilities and analytical skills with keen attention to detail

What would be nice to have?

  • Experience with AWS services including SageMaker, Lambda, Bedrock, and other AI/ML services
  • Experience with data warehousing, pipelines, and big data technologies such as AWS Glue for ETL, Glue Catalog, Glue Data Quality,and AWS Step Functions.

Unique Requirements:

  • This role requires Reliability Status Clearance. In addition to a law enforcement inquiry and a credit check, as part of your application, the Government of Canada will ask if you lived or travelled outside of Canada for 6-consecutive months during the last 5 years, and you must account for all activities during this time. Important: Obtaining Reliability Status Clearance within a reasonable amount of time is a condition required to start employment for this role at Sun Life.
  • Must be able to satisfactorily complete applicable background checks prior to the start date and during employment, in accordance with Sun Life's policies and practices.

What's in it for you:

  • We're honoured to be recognized as a 2026 Best Workplaces in Canada by Great Place to Work Canada.
  • We are thrilled to be recognized by Excellence Canada with their top-level certification, the Canada Order of Excellence for Mental Health at Work, for prioritizing employee well-being, fostering a positive work culture, and achieving excellence in mental health.
  • Wellness programs that support the three pillars of your health - mental, physical, and financial
  • The opportunity to move along a variety of career paths with amazing networking potential.
  • As a hybrid organization, you and your leader use business and Client needs to choose where you work, at home or in the office

The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.


Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our Clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.


Persons with disabilities who need accommodation in the application process, or those needing job postings in an alternative format, may e-mail a request to thebrightside@sunlife.com.


We are proud to be a hybrid organization that offers our employees the choice and flexibility to work from both the office and virtually based on the needs of the business, our Clients and you.


We may use artificial intelligence to support candidate sourcing, screening, interview scheduling.


We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.


Salary Range:

90,000/90 000 - 140,000/140 000

Job Category:

Advanced Analytics

Posting End Date:

07/09/2026

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