ZipRecruiter

Log In

1

Google Internship Data Science Jobs in Toronto, ON

Charger Logistics Inc

Data Scientist

Brampton, ON · On-site

Operate MLOps workflows on Google Cloud using Vertex AI Pipelines, Feature Store, and Model ... Collaborate with cross-functional teams to translate business problems into robust data science ...

Charger Logistics Inc

Data Scientist

Brampton, ON · On-site

Operate MLOps workflows on Google Cloud using Vertex AI Pipelines, Feature Store, and Model ... Collaborate with cross-functional teams to translate business problems into robust data science ...

CorGTA

Data Scientist - 12 month contract

Toronto, ON

CA$70/hr

Experience: 58 years of applied industry experience in data science, statistical analysis, and ... Strong, hands-on proficiency in the Google Cloud Platform ecosystem. Experience building, training ...

Td

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 ...

Pelmorex

Data Scientist - Hybrid

Oakville, ON · Hybrid

High proficiency in Google BigQuery (SQL, window functions, query optimization, and large-scale data manipulation). * Advanced expertise in Python for statistical modeling, data science, and ...

Sanofi EU

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 ... Mentor junior Data Scientists, AI Engineers, and interns through technical coaching, code reviews ...

Sanofi EU

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 ... Mentor junior Data Scientists, AI Engineers, and interns through technical coaching, code reviews ...

Sanofi EU

Lead Data Scientist

Brampton, ON · On-site +1

CA$108K - CA$157K/yr

Commercial Data Science Location: Toronto, ON (Flexible working - 40% home office / week) About the ... Mentor junior Data Scientists, AI Engineers, and interns through technical coaching, code reviews ...

Sanofi EU

Lead Data Scientist

Toronto, ON · On-site +1

CA$108K - CA$157K/yr

Commercial Data Science Location: Toronto, ON (Flexible working - 40% home office / week) About the ... Mentor junior Data Scientists, AI Engineers, and interns through technical coaching, code reviews ...

Sanofi EU

Lead Data Scientist

Maple, ON · On-site +1

CA$108K - CA$157K/yr

Commercial Data Science Location: Toronto, ON (Flexible working - 40% home office / week) About the ... Mentor junior Data Scientists, AI Engineers, and interns through technical coaching, code reviews ...

Omnicom

Data Analyst

Toronto, ON · Hybrid

Data Science and Analytics Are you an avid data analyst looking for an exciting career in the world ... SA360, GOOGLE ADS, CM360) At TBWA we respect and value differences and we pride ourselves in ...

next page

Showing results 1-20

All JobsGoogle Data Science JobsGoogle Internship Data Science JobsGoogle Internship Data Science Jobs in Toronto, ON

Google Internship Data Science information

What is a Google internship in data science?

A Google Internship in Data Science is a temporary, paid position where students or recent graduates work with Google's data science teams. Interns are involved in analyzing large datasets, building machine learning models, and providing insights to improve Google products and services. The internship offers hands-on experience, mentorship, and exposure to real-world data science challenges in a leading tech company. Applicants typically need strong analytical skills, proficiency in programming languages like Python or R, and a background in statistics or computer science.

What types of projects does a data science intern typically work on during a Google internship?

Data Science interns at Google often collaborate on high-impact projects alongside full-time data scientists and engineers. Projects may include analyzing large datasets to identify trends, building machine learning models, or developing data-driven solutions for products and services. Interns are encouraged to contribute ideas, participate in code reviews, and present findings to their teams. This hands-on experience allows interns to gain exposure to Google's tools and methodologies, while also building a strong foundation for future roles in data science.

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

To thrive as a Google Data Science Intern, you need a solid background in statistics, programming (such as Python or R), and data analysis, typically supported by current enrollment in a relevant degree program. Familiarity with tools like SQL, TensorFlow, and data visualization platforms is commonly expected, along with experience in machine learning frameworks. Strong problem-solving abilities, effective communication, and collaboration skills help interns contribute meaningfully to cross-functional teams. These skills are essential to analyze complex datasets, deliver actionable insights, and succeed in Google's fast-paced, innovative environment.

What is the difference between Google Internship Data Science vs Google Data Analyst Internship?

AspectGoogle Internship Data ScienceGoogle Data Analyst Internship
Required SkillsProgramming (Python, R), statistics, machine learning, data modelingData analysis, SQL, Excel, visualization tools
Work EnvironmentCollaborative, research-focused, technical projectsBusiness-oriented, reporting, data interpretation
Industry UsageResearch, product development, machine learning modelsBusiness insights, performance metrics, reporting

Google Internship Data Science roles focus on developing machine learning models and advanced analytics, requiring programming and statistical skills. In contrast, Google Data Analyst Internships emphasize data interpretation, reporting, and visualization for business decisions. Both roles are valuable within Google's data ecosystem but serve different functions based on technical depth and business application.

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

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

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

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

Google Internship Data Science jobs near you
Infographic showing various Google Internship Data Science 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.

Data Scientist Intern (Winter/January 2027, 4-8 Months)

Internship List

Oakville, ON

Full-time, Internship

Posted 3 days ago

New

Job description

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Data Scientist Intern who will contribute to data exploration, transformation, and productionization for one of our product pillars. If you love technology, and are keen to join an industry leader - we would love to hear from you!

What you'll do:

As a Data Scientist Intern your key area of responsibility will be the design and construction of new metrics and data models using prototypes, algorithms, predictive models, and custom analyses. 

This internship position works closely with a team of data scientists, product managers, and other technical professionals to analyze trends, enable data driven decision-making, and produce effective customer-facing products.

The opportunity:
  • 4-8 month work-term beginning January 2027.
  • Full-time, paid internship: Monday - Friday, 37.5hrs/week.
  • Your first week at Geotab begins with 'GEO Launch' - a one-week Employee Orientation. Click here to learn more!
  • Learn more about the Geotab Campus Program here.
  • This posting is for an existing vacancy.
How you'll make an impact:
  • Pull data sets and assemble presentations and visualization for strategic customers and early adopters of new or in progress features
  • Assist in dashboarding and visualizations for coverage and accuracy metrics for data science models
  • Test the performance of data-driven products and make recommendations for improving Geotab's product suite
  • Contribute to the sprint development and review cycle within your  assigned pillar's data science team 
  • Create algorithms and predictive models to extract information required to solve complex business problems.
  • Generate queries from Geotab's Big Data Infrastructure from Data Warehousing database (i.e. Google BigQuery).
What you'll bring to the role:
  • Working towards a degree in engineering, mathematics, or computer science
  • Interest or experience in sensor data and data cleaning
  • SQL and Python experience 
  • Experience using a BI platform like looker, or PowerBI. Superset specifically is an asset
  • Willingness to learn and creative mindset.
  • Eager to experience working within a technical or engineering organization.
  • High accuracy and meticulous attention to detail.
  • Ability to work well under pressure and respond to fast changing priorities.
  • Highly organized
  • Strong team player
If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply.
 
Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees.
How we work:
At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology!
 
We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish - in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at careers@geotab.com. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, "Geotab"), you acknowledge Geotab's collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to read our Privacy Notice. 

Apply