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Google Internship Data Science Jobs in Toronto, ON

Data Science Analyst

Toronto, ON ยท Hybrid

CA$55K - CA$65K/yr

Position Summary We are looking for a Data Science Analyst to join our growing data science ... Prior internship or academic project experience in an applied analytics setting. What we offer

Effectively communicate the analytics approach and data science lifecycle with leadership and ... Experience with cloud platforms like Google Cloud, AWS, or Azure. * Excellent interpersonal ...

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 ...

Data Scientist II

Toronto, ON

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 ...

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 ...

Associate Data Scientist - GenAI

Toronto, ON ยท Hybrid

CA$69K - CA$115K/yr

D. in Computer Science, Data Science, Statistics, or a related field. * Proven experience as a Data Scientist including internships or coops, with a strong focus on machine learning, generative AI ...

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 ...

Google Ads, Meta, or similar platforms) * Advanced degree (Master's or Ph.D.) in Computer Science, Data Engineering, Data Science, or a related quantitative field * Knowledge of database design and ...

Data Scientist II

Toronto, ON ยท On-site

CA$81K - CA$115K/yr

... science and modelling, business intelligence, data strategy and governance, data management and ... Google Marketing Cloud, SFTP servers * A project management mindset to help deliver on time to ...

Our team primarily works with Python and the Google Cloud Platform suite of products like Cloud Run ... science tools including but not limited to sklearn, Pandas, keras and/or PyTorch Experience in ...

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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.

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 84% Physical, 6% Hybrid, and 10% Remote job distribution.

Data Science Analyst

Toronto, ON โ€ข Hybrid

CA$55K - CA$65K/yr

Full-time

PTO

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

Position Summary

We are looking for a Data Science Analyst to join our growing data science practice. In this role, you will support the development and delivery of quantitative models and analyses across a portfolio of marketing clients, including predictive modeling, regression analysis, and statistical work spanning media, pricing, and promotional data. This is a great entry point for someone with a strong statistics background who wants to apply analytical skills in a fast-paced, client-service environment.


Key Responsibilities

  • Build and maintain data science models such as Marketing Mix Models using regression-based techniques, working with weekly or monthly time-series data across media, pricing, and promotional variables.
  • Conduct data validation, cleaning, and QA on client-provided datasets to ensure model-ready inputs.
  • Run statistical analyses including adstock transformations, diminishing returns curves, and decomposition outputs.
  • Support model documentation and prepare structured outputs (Excel workbooks, charts, summary tables) for internal and client review.
  • Collaborate with senior team members on methodology decisions and model refinement.
  • Contribute to internal tooling and process improvements as the team scales.


Desired Skills & Experience

  • Bachelor's or Master's degree in Statistics, Mathematics, Economics, Data Science, or a related quantitative field.
  • Strong foundation in statistical modeling, particularly regression analysis and time-series methods.
  • Comfort working in Python or R for data manipulation, modeling, and visualization (pandas, statsmodels, scikit-learn, or equivalent).
  • Familiarity with concepts such as multicollinearity, heteroscedasticity, model fit diagnostics, and variable selection.
  • Attention to detail and the ability to work carefully through large, messy datasets.
  • Clear written communication skills for documenting analytical work.
  • Exposure to Bayesian methods or hierarchical modeling.
  • Experience with marketing data (media spend, impressions, GRPs) or consumer datasets.
  • Prior internship or academic project experience in an applied analytics setting.


What we offer

  • Hands-on experience working across multiple industry verticals and client types.
  • A collaborative, learning-focused team environment with senior mentorship.
  • Exposure to the full MMM lifecycle, from data intake through to client delivery.
  • Competitive compensation and benefits.


Why Join Omnicom Media Canada

At Omnicom Media Canada, careers are designed for growth. Weโ€™ve purposefully crafted a transformative talent experience built with accountability in action - focused on community, impact, and opportunity.

Community - We build a culture where our people show up for each other, grow together, and win together.

Impact - Your work creates real outcomes โ€” for clients, for the business, and for the industry.

Opportunity - We give you the runway, resources, and support to keep rising โ€” on your terms and at your pace.


Omnicom Media Canada is dedicated to cultivating a workplace that not only respects but actively champions Inclusion, Diversity, and Equity through Action (IDEA). This commitment ensures our workforce reflects the rich cultural mosaic of Canada, shaping how our teams, leadership, and client relationships thrive.


This is an active vacancy. We are currently hiring for this role and reviewing applications on an ongoing basis.


Expected Salary: $55,000 - $65,000


Omnicom Media is providing the compensation range that the company is willing to pay for this position based on the successful applicantโ€™s education, experience, knowledge, skills and abilities.

In addition, Omnicom Media provides rewarding offerings such as:

โ€ข Generous paid time off with a minimum of 37 paid days off including vacation and monthly wellness days. We also have four-day long weekends, half-day summer Fridays, and meeting-free Friday afternoons year-round.

โ€ข A flexible hybrid work model that works for you.

โ€ข A focus on personal development with formal training opportunities, including mental health training and inclusion education for everyone.

โ€ข A chance to be part of and grow within a global network of agencies.

โ€ข The opportunity to contribute to our company culture by joining one of our many community-based employee groups, such as Black Employee Network, Girls on Fire, Hispanic or Latinx Alliance, Neuro Network, Pan-Asian Network, and Rainbow Lounge.


Omnicom is an equal opportunity employer, committed to providing equal employment opportunities to all employees and applicants without regard to race, colour, ethnicity, gender, age, religion, creed, national origin, sexual orientation, gender identity, marital status, citizenship, genetic information, disability, or any other basis prohibited by applicable federal, provincial, or municipal law. If you require an accommodation in any aspect of the selection process, please reach out to canadatalent@mbww.com