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Entry Level Python Data Science Jobs in Toronto, ON

Intact Financial

Data Scientist II

Toronto, ON

You'llbuild and deliver data science solutions end-to-end, framing problems with partners ... Strong Python skills and Git-based development practices (e.g., version control, peer review ...

Intact Financial

Data Scientist II

Ajax, ON

You'llbuild and deliver data science solutions end-to-end, framing problems with partners ... Strong Python skills and Git-based development practices (e.g., version control, peer review ...

Tiger Analytics Inc.

GenAI Data Engineer

Toronto, ON · Remote

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... Tune complex SQL queries and Python-based processing jobs to handle petabyte-scale environments ...

Tiger Analytics Inc.

GenAI Data Engineer

Toronto, ON · On-site

Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted ... Tune complex SQL queries and Python-based processing jobs to handle petabyte-scale environments ...

Klick Health

Data Engineer

Toronto, ON · Hybrid

Collaborate with Analytics, Data Science, and Enablement partners to gather requirements and translate business needs into data engineering solutions using Python and SQL * Design, build, and ...

New

SYSTRA

Data Engineering Specialist

Toronto, ON · On-site

Data Science and Strategic Support * Assist the Data Science Manager in achieving objectives ... Advanced Excel, Power Query, DAX, and Python for analytics. * Microsoft Fabric, Power Platforms ...

Walmart

Senior, Data Scientist

Mississauga, ON · On-site

CA$91K - CA$126K/yr

Proficiency in Python and SQL, with experience working with large-scale datasets across data ... science solutions. * Strong communication and storytelling skills, with the ability to explain ...

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Entry Level Python Data Science information

What are some common challenges faced by entry-level Python data scientists when starting out, and how can they be addressed?

Entry-level Python data scientists often encounter challenges such as managing large datasets, understanding the nuances of real-world data (like missing or inconsistent values), and effectively communicating technical findings to non-technical stakeholders. To address these challenges, it's helpful to develop strong data cleaning skills, practice using libraries like pandas and scikit-learn, and focus on improving data visualization and storytelling abilities. Additionally, seeking feedback from more experienced team members and participating in collaborative projects can accelerate learning and help overcome early hurdles.

What is an entry level Python data scientist?

An entry level Python data scientist is a professional who uses Python programming language to analyze, interpret, and visualize data, typically in the early stages of their data science career. They are responsible for collecting, cleaning, and preparing data, performing basic statistical analyses, and building simple machine learning models under supervision. These roles often require proficiency in Python libraries like pandas, NumPy, and scikit-learn, as well as good problem-solving skills. Entry level data scientists may work in industries such as finance, healthcare, marketing, or technology to help organizations make data-driven decisions.

What are the key skills and qualifications needed to thrive as an Entry Level Python Data Scientist, and why are they important?

To thrive as an Entry Level Python Data Scientist, you need a strong understanding of statistics, data analysis, and proficiency in Python programming, typically supported by a relevant degree or coursework. Familiarity with data science libraries (such as pandas, NumPy, and scikit-learn), data visualization tools, and basic SQL is commonly required. Analytical thinking, problem-solving, and effective communication help you interpret data and present findings clearly. These skills ensure you can extract meaningful insights from data, collaborate effectively, and contribute to data-driven decision-making.

What is the difference between Entry Level Python Data Science vs Entry Level Data Analyst?

AspectEntry Level Python Data ScienceEntry Level Data Analyst
Required SkillsPython, SQL, statistics, machine learning basicsExcel, SQL, data visualization, basic statistics
CertificationsPython programming, data science fundamentalsExcel certifications, basic data analysis courses
Work EnvironmentTech companies, startups, data-driven teamsBusiness departments, marketing, finance teams
Common UsageBuilding models, data cleaning, predictive analyticsReporting, data visualization, trend analysis

Entry Level Python Data Science roles focus on programming, machine learning, and predictive modeling, often requiring Python and statistical knowledge. Entry Level Data Analyst positions emphasize data reporting, visualization, and basic analysis using tools like Excel and SQL. Both roles are common in various industries, but Python Data Science roles typically involve more technical and coding skills, while Data Analyst roles focus on interpreting data for business insights.

What are the most commonly searched types of Python Data Science jobs in Toronto, ON? The most popular types of Python Data Science jobs in Toronto, ON are:
What are popular job titles related to Entry Level Python Data Science jobs in Toronto, ON? For Entry Level Python Data Science jobs in Toronto, ON, the most frequently searched job titles are:
What job categories do people searching Entry Level Python Data Science jobs in Toronto, ON look for? The top searched job categories for Entry Level Python Data Science jobs in Toronto, ON are:
Entry Level Python Data Science jobs near you
PepsiCo Canada: 2026 Junior Data Scientist New Grad

PepsiCo Canada: 2026 Junior Data Scientist New Grad

PepsiCo

Mississauga, ON • On-site

CA$76K - CA$78K/yr

Full-time

Re-posted 10 days ago

PepsiCo rating

7.5

Company rating: 7.5 out of 10

Based on 867 frontline employees who took The Breakroom Quiz

143rd of 395 rated food and drinks producers

Job description

Overview

Are you excited about analytics and passionate about problem solving?

Then come join our Data Science team at PepsiCo Foods Canada! We are focused on accelerating consumer demand, strengthening customer partnership, and driving end to end productivity through data science and advanced analytics. We work with Shopper Insights, Shopper Marketing, Category Leadership, Supply Chain and IT resources to unlock opportunities. Being embedded in the business and linked to the top strategic priorities allows us to build best-in-class capabilities, develop deep functional expertise, and offer focused products in an agile responsive manner.

Help us solve new and exciting business problems with data analysis, advanced analytics, and a love of problem solving. Success in this role will require exceptional data analysis skills, an analytical mindset, intellectual curiosity, and strong appreciation for delivering business results. Strong communication and collaboration skills are required.

What you can expect from us:

  • Competitive compensation and comprehensive benefits designed to fit your unique needs
  • A dynamic and inclusive culture that promotes you to bring your whole-self to work
  • Inspiring positive change for people and the planet with sustainability goals
  • A supportive team that will encourage your professional growth and development

Compensation: $76,100-78,700 annual salary

Responsibilities
  • Translate Business needs into technical requirements
  • Collaborating with business stakeholders and technical teams to deliver a variety of projects
  • Deliver proof of concepts leveraging advanced analytics and data science
  • Effectively communicating insights to project stakeholders
  • Support the adoption of solutions into the business process
  • Identify best practices in the advanced analytics space by tracking technology and industry trends
Qualifications
  • 2025/26 Recent Graduate with a Bachelor's Degree in Data/Computer Science, Mathematics/Statistics, an engineering discipline, or equivalent
  • Familiarity with statistical modeling, machine learning and/or deep learning modeling
  • Knowledge of statistical analysis tools like R or Python
  • Comprehensive knowledge of Databases and strong SQL programming skills
  • Proficiency in data engineering and data blending
  • Demonstrated experience in handling large data sets and relational databases
  • Experience with visualization tools like Tableau, Power BI or Matplot
  • Ability to translate business and technical requirements into non-technical terms
  • Strong communication and collaboration skills
  • Exceptional analytical and conceptual thinking skills
  • Demonstrated ability to thrive in fast paced environment
  • Ability to work independently with minimal supervision
  • Experience with Scrum/Agile Methodology is an asset

Why work at PepsiCo

At PepsiCo, you're invited to be a part of a global team of innovators who make, move, and sell these products-which are enjoyed by more than 1 billion people a day. A career at PepsiCo means working in a culture where everyone's welcome. Here, you can dare to be yourself. No matter who you are or where you're from, you can influence the people around you and the world at large. By showing up, you'll have the opportunity to learn, develop and grow your skills for the future. Our supportive teams can fuel your professional goals to make a global impact on people and the planet.

Join us. Dare for Better.

PepsiCo may use Artificial Intelligence as part of its hiring process. Specifically, we may use AI-based tools to screen, assess, or select applicants. 

This posting is for an new vacancy. 

Employment Type: FULL_TIME

What PepsiCo employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About PepsiCo

Sourced by ZipRecruiter

PepsiCo products are enjoyed by consumers more than one billion times a day in more than 200 countries and territories around the world. PepsiCo generated $86 billion in net revenue in 2022, driven by a complementary beverage and convenient foods portfolio that includes Lay's, Doritos, Cheetos, Gatorade, Pepsi-Cola, Mountain Dew, Quaker, and SodaStream. PepsiCo's product portfolio includes a wide range of enjoyable foods and beverages, including many iconic brands that generate more than $1 billion each in estimated annual retail sales.

Industry

Food and drink manufacturing

Company size

10,000+ Employees

Headquarters location

Purchase, NY, US

Year founded

1965

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