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Entry Level Python Data Science Jobs in Toronto, ON

You will collaborate with data scientists, engineers, and business stakeholders to enable data ... Strong experience with Python, SQL, and Scala for data processing. Hands-on experience with ETL ...

You will collaborate with data scientists, engineers, and business stakeholders to enable data ... Strong experience with Python, SQL, and Scala for data processing. Hands-on experience with ETL ...

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related discipline OR Equivalent practical experience AND Hands-on experience with Python for data processing and ...

Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field ... Strong skills in a scripting language (Python, Ruby, Bash) * Good understanding of SQL Engine and ...

Sr Data Scientist / Economist

Toronto, ON · On-site

CA$72K - CA$138K/yr

Python, Cloud ML (AWS, GCP, Azure), or similar tools • 1 to 3 years (Consultant) or 4 to 8 years ... Computer Science, Applied Mathematics, Statistics, or related field is required. • Advanced ...

Senior Software Engineer I, ML

Toronto, ON · On-site

CA$172K - CA$279K/yr

Data Science/Back End: Python (Pyspark, Polars, Ibis), SQL, BigQuery, FastAPI * Architecture/DevOps: Kubernetes, Airflow, Terraform, GCP * We write well-tested, type-hinted, documented, modular code ...

Familiarity with the Python data science stack through exposure to libraries such as Numpy, Scipy, Pandas, Dask, spaCy, NLTK, scikit-learn, PyTorch. * Take pride in writing clean, reusable ...

Mid-morning you might drop into a backend slice: a Go service endpoint or a Python data pipeline ... Bachelor of Computer Science, Electrical/Software Engineering, or a related technical degree.

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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 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:
Intermediate AI Developer II, Full Stack (Python/React)

Intermediate AI Developer II, Full Stack (Python/React)

Intact Financial

Toronto, ON • Hybrid

Full-time

Life, Retirement

Posted 14 days ago


Job description

Our employees are at the heart of everything we do. Together, we help people, businesses, and society prosper in good times and be resilient in bad times.


Our employee promise represents Intact's commitment to you in exchange for living our Values, striving to do your best work, being open to change and investing in your career. In return, we promise to provide support, opportunities and performance-led financial rewards at a workplace where you can shape the future, win as a team and grow with us.

Pay at Intact is about much more than just salary.

  • Flexible work arrangements and a hybrid work model

  • Possibility to purchase up to 5 extra days off per year

  • Multiple benefits offered to support physical and mental wellbeing, including telemedicine, Wellness account and much more

  • Share plan & other savings: up to 12% of salary or even more (ask how you could earn guaranteed income for life)

Salary range (but not limited to):

94,200 - 115,200

Annual bonus target, based on the base salary, with a potential payout of up to double the target (subject to personal and company performance):

10%

As part of our commitment to Win As A Team, we share our success with employees through our annual bonus plan and Employee Share Purchase Plan (ESPP) - with Intact matching 50% of your net shares.

Our pension offerings provide flexibility and long-term security for our employees beyond their careers. We are one of the few companies offering the opportunity to receive guaranteed income for life via our defined benefit pension plan.

Salary for the candidate will be determined taking into consideration a number of factors including: experience, skills, qualifications, anticipated contribution to role, internal equity, etc. The salary range presented above is based on a 35-hour workweek and would represent a majority of different candidate profiles. However, we encourage candidates who may fall outside of this range to apply as well.


About the role

We're looking for an Intermediate AI Developer, Full Stack (Python/React) II to join our growing team!


What you'll do here:

  • Join a cross-functional team developing innovative data product to solve business problems.
  • Write well-designed, efficient code that can be tested, repeatedly.
  • Influence the AI roadmap of the biggest P&C insurer in Canada.
  • Keep pace with new technologies and use them in your own solutions.
  • Work within a multi-disciplinary environment mixing people from data science, software engineering, actuarial science, business and design.
  • Share knowledge with interns, data scientist and other software developer to grow, as a team.

What you bring to the table:

  • A bachelor's degree in computer science, software engineering or any combination of equivalent education and experience.
  • Proficiency in Python, REST/ GraphQL APIs, AWS (S3, Lambda, sagemaker or similar services).
  • Experience with machine learning and scientific computing libraries such as scikit-learn, NumPy, SciPy, Tensorflow, etc.
  • Experience with pipelines, Ingestions/automations.
  • Good knowledge of software engineering practices such as design patterns, knowledge of the development cycle and other tools such as Git, Jira, Confluence.
  • The commitment to be a great, collaborative teammate.
  • Unlimited curiosity and a passion to challenge the status quo.
  • Ability to focus on vaguely defined issues requiring the application of a creative approach.
  • Strong communication, time management and work organization skills.
  • If you don't have experience in the AI field, a strong motivation to learn this new and exciting field.
  • For candidates located in Quebec, bilingualism is required considering the necessity to interact on a regular basis with English-speaking colleagues across the country.
  • No Canadian work experience required however must be eligible to work in Canada.

Nice-to-have:

  • Highly desired: Frontend experience with React framework, Typescript, async handling & state management tool.
  • Knowledge of DevOps modern tools such as Docker, Kubernetes, ELK.
  • Knowledge of the development technologies such as MongoDB, Kafka.
  • Experience developing data and machine learning pipelines.
  • Experience in Insurance domain.

#LI-Hybrid

Il s'agit d'un nouveau role au sein de notre equipe en pleine croissance | This role is a new member of our growing team.


We are an equal opportunity employer

At Intact, our Value of respect is founded on seeing diversity as a strength. We strive to create an accessible workplace where employees feel valued, included and encouraged to share their unique perspectives.

We encourage applications from individuals who are members of equity-deserving groups, including but not limited to women, Indigenous peoples, persons with disabilities, Black people, and members of the 2SLGBTQI+ community.

As part of Intact's commitment to reconciliation, we acknowledge that we work, meet and travel across the land currently called Canada, originally inhabited by First Nations, Metis and Inuit people. This history extends through many centuries and continues to evolve today.

We have policies to ensure equal access and participation for people with disabilities, including providing workplace adjustments (accommodations). A copy of applicable policies is available on request.

If we can provide a specific adjustment to make the recruitment process more accessible for you, please let us know when we reach out about a job opportunity. We'll work with you to meet your needs.

Learn more about our recruitment process and your candidate journey here.

Please note that Intact does not provide sponsorship or other support for immigration-related matters including but not limited to employer-specific closed work permits. Candidates must be eligible to work in Canada from the anticipated start date and throughout their employment and are solely responsible for maintaining their work eligibility.

If you are an employee of Intact or belairdirect, please apply for this role on Internal Career Site.

Employment Type: FULL_TIME