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Entry Level Python Data Science Jobs in Toronto, ON

You'llleverageyourexpertisein Python,FastAPI, and API development to build scalable systems that ... You hold a degree or diploma in Computer Science, Data Science, Engineering, or a related field.

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 ...

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 ...

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 ...

You will work closely with a team of data scientists and data engineers to deploy solutions and ... Strong programming skills in Python and experience with popular machine learning libraries such as ...

Position Overview The Digital Experience & Customer Empowerment Data Science (DXC-DS) team builds ... Ifyou'rehighly analytical, fluent in SQL and Python, and motivated by solving complex, ambiguous ...

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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:
Infographic showing various Entry Level Python Data Science job openings in Toronto, ON as of June 2026, with employment types broken down into 88% Full Time, 4% Part Time, and 8% Contract. Highlights an 93% Physical, 4% Hybrid, and 3% Remote job distribution.
AI Scientist Co-op

AI Scientist Co-op

Cibc

Toronto, ON • Hybrid

Full-time

Posted 11 days ago


Job description

We're building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what's right for our clients.

At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

To learn more about CIBC, please visit CIBC.com

Whatyou'llbe doing

As an AI Scientist on the Enterprise Advanced Analytics and Artificial Intelligence team,you'llbe at the forefront of developing and implementingcutting-edgeAI solutions across CIBC.You'llleverageyourexpertisein Python,FastAPI, and API development to build scalable systems that automate the extraction of data elements from complex forms. Your role will focus on working with various large language models (LLMs), including prompt engineering and Retrieval-Augmented Generation (RAG), tooptimizeand customize AI capabilities for business needs.You will also contribute to agentic AI initiatives and incorporate advanced reasoning and summarization capabilities into our solutions.You'llleadLLMfine-tuning and customization initiatives, ensuring our AI solutions are robust,accurate, and tailored to enterprise requirements. Collaboration will be key as you partner with cross-functional teams to drive innovation and advance CIBC's data-driven culture.

At CIBC we enable the work environment mostoptimalfor you to thrive in your role. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview

Important

  • We may ask you to complete an attribute-based assessment and other skills tests (such as simulation, coding, Frenchproficiency, MS Office). Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

  • You must be currently enrolled in post-secondary education and returning to full-time studies to be eligible. However, you do not need to be in a registered Co-Op program to beconsidered fora role.

  • Recruitment timeline: Applications review -May/ June; Interviews -June/ July; Offers-June July

  • Please include your resume (no more than 2 pages), a cover letter (no more than 1 page), and your most recent unofficial transcript with your application. These should all be uploaded into the Resume section of the application as one pdf document

  • This is an8-monthco-op opportunity.

Howyou'llsucceed

  • AIsolutiondevelopment -Design, build, and deploy AI-powered applications using Python,FastAPI, and APIs to automate data extraction,reasoningandsummarizationfromforms.

  • LLMcustomization andfine-tuning -Lead efforts to customize and fine-tune large language models, enhancing performance and relevance for enterprise use cases.

  • Promptengineering and RAGimplementation -Develop andoptimizeprompts forLLMs, andimplement Retrieval-Augmented Generation strategies to improve accuracy and efficiency.

  • Technicalcollaboration -Work closely with data scientists, engineers, and business stakeholders to understand requirements and deliver impactful AI solutions.

  • Innovation andresearch -Stay current with advancements in AI and machine learning, applying new techniques to solve business challenges.

Who you are

  • You have strong technicalexpertise.You are proficient in Python coding,FastAPI, API development, and have hands-on experience withDocumineor similar tools.

  • You are experienced with LLMs.You have practical knowledge in working with large language models, including prompt engineering, RAG, customization, and fine-tuning.

  • You are an innovator.You enjoy exploring new AI and machine learning techniques, applying them to automateprocessesand extract meaningful insights from data.

  • You are a collaborator.You thrive in cross-functional environments, working closely with diverse teams to achieve shared goals.

  • You have relevant education.You hold a degree or diploma in Computer Science, Data Science, Engineering, or a related field.

  • Values matter to you.You bring your real self to work, and you live our values - trust, teamwork, and accountability.

What CIBC Offers

At CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential.

  • We work to recognize you in meaningful, personalized ways including a competitive compensation, a banking benefit*, wellbeing support and additional offers such as employee and family assistance programs and MomentMakers, our social, points-based recognition program.

  • Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.

*Subject to program terms and conditions

What you need to know

  • CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

  • CIBC is committed to clarity in our hiring process. All roles posted are opportunities we're actively recruiting for, unless stated otherwise.

  • You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit

  • We may ask you to complete an attribute-based assessment and other skills test (such as simulation, coding, French proficiency).

  • We use artificial intelligence tools during the recruitment process. Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

Expected End Date

2027-04-23

Job Location

Toronto-81 Bay, 21st Floor

Employment Type

Temporary (Fixed Term)

Weekly Hours

37.5

Skills

API Development, Artificial Intelligence (AI), Large Language Model (LLM) Fine-Tuning, Model Fine-Tuning, RAG Pipeline