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Python Data Science Jobs in Ontario (NOW HIRING)

Technical skills in both data and computer science. There are 3 core technical skills we look for: in-depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and ...

Technical skills in both data and computer science. There are 3 core technical skills we look for: in-depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and ...

Technical skills in both data and computer science. There are 3 core technical skills we look for: in-depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and ...

Technical skills in both data and computer science. There are 3 core technical skills we look for: in-depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and ...

This is an opportunity to work on various data science problems, while communicating directly with ... Python data analysis and manipulation tools (e.g. pandas, numpy, dask); * Source control-based ...

... Python, SQL, along with experience using scalable Machine Learning and Cloud frameworks Strong ... strategic data science initiatives. Ability to lead through ambiguity and change Strong ...

Hands-on technical proficiency in Python, SQL, and modern ML frameworks (scikit-learn, PyTorch ... Experience building data science teams from scratch or through periods of rapid growth * Prior work ...

Hands-on technical proficiency in Python, SQL, and modern ML frameworks (scikit-learn, PyTorch ... Established product data science roadmap aligned with business priorities; shipped at least one ...

Senior Manager, Data Science

Toronto, ON · On-site

CA$120K - CA$150K/yr

The Senior Manager, Data Science is responsible for the design and validation of advanced analytics ... Python, R). * Advanced analytical and critical thinking skills. * Strong leadership and people ...

PHP, Javascript, Python, MySQL, VueJS, ElectronJS, Selenium, VMware, AWS. * Creative and motivated ... Data science training or experience with big data analysis and visualization. * Interest and ...

Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with Python * Confident extracting and manipulating data from SQL and noSQL stores * Previous experience ...

Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with Python * Confident extracting and manipulating data from SQL and noSQL stores * Previous experience ...

Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with Python * Confident extracting and manipulating data from SQL and noSQL stores * Previous experience ...

Data Scientist

Ottawa, ON · On-site

$80K - $100K/yr

Physics, Computer Science, Stats) * 1-2 years' experience developing solutions and working with Python * Confident extracting and manipulating data from SQL and noSQL stores * Previous experience ...

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial and graph optimization algorithms * A Masters or PHD in Computer Science, Engineering. or ...

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial and graph optimization algorithms * A Masters or PHD in Computer Science, Engineering. or ...

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial and graph optimization algorithms * A Masters or PHD in Computer Science, Engineering. or ...

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial and graph optimization algorithms * A Masters or PHD in Computer Science, Engineering. or ...

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial and graph optimization algorithms * A Masters or PHD in Computer Science, Engineering. or ...

Proficient with python data-science libraries ( pandas, numpy, bokeh ) * Expertise in combinatorial and graph optimization algorithms * A Masters or PHD in Computer Science, Engineering. or ...

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Showing results 1-20

Python Data Science information

See Ontario salary details

$24.5K

$135K

$206K

How much do python data science jobs pay per year?

As of Jul 25, 2026, the average yearly pay for python data science in Ontario is $135,015.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,000.00 and $171,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Python Data Science position, and why are they important?

To thrive in Python Data Science, you need strong programming skills in Python, a solid understanding of statistics, data manipulation, and experience with data analytics or machine learning, often supported by a bachelor’s or master’s degree in a quantitative field. Familiarity with tools such as pandas, NumPy, scikit-learn, Jupyter Notebooks, and knowledge of SQL are typically essential; certifications like Google Data Analytics or IBM Data Science can be advantageous. Critical thinking, problem-solving, and effective communication are key soft skills for translating data insights into actionable business recommendations. These skills are crucial to efficiently analyze large datasets, build predictive models, and deliver meaningful insights that drive decision-making.

How much does a Python data scientist make?

A Python data scientist's salary typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Professionals with strong skills in machine learning, statistical analysis, and data visualization tools like Pandas and TensorFlow tend to earn higher salaries.

What are typical day-to-day responsibilities in a Python Data Science role?

In a Python Data Science role, your typical day might involve collecting, cleaning, and preparing raw data, exploring datasets to uncover patterns and trends, and building or evaluating predictive models. You’ll regularly use Python libraries to conduct analyses, visualize results, and collaborate with cross-functional teams such as product managers or engineers to define business objectives. Presenting your findings in clear, actionable formats for both technical and non-technical stakeholders is also a key part of the job. This dynamic environment emphasizes continuous learning, problem-solving, and close communication with other departments to align analytical insights with organizational goals.

Is Python useful in data science?

Python is a fundamental tool for data scientists, including those in data science roles, due to its extensive libraries such as Pandas, NumPy, and scikit-learn that facilitate data analysis, visualization, and machine learning. Its simplicity and versatility make it a preferred programming language in the data science field, often complemented by knowledge of SQL and data visualization tools.

What is a Python Data Science job?

A Python Data Science job involves using Python to analyze, process, and visualize data to extract insights and inform decision-making. It typically includes working with libraries like Pandas, NumPy, and Scikit-learn for data manipulation, statistical analysis, and machine learning. Professionals in this role may clean and preprocess data, build models, and communicate findings through reports or visualizations. Python Data Scientists often work in industries like finance, healthcare, and technology to solve complex problems and optimize business strategies.

Is 40 too late for data science?

Age is not a barrier to becoming a data scientist; many professionals transition into data science at various ages. Success depends on acquiring relevant skills such as programming in Python, understanding statistics, and working with tools like Jupyter notebooks, regardless of age.

Is Python a high paying job?

Python Data Science roles are generally well-paid due to high demand for skills in data analysis, machine learning, and automation. Salaries vary based on experience, location, and industry, but professionals with Python expertise often earn above average wages in the tech sector.
What are popular job titles related to Python Data Science jobs in Ontario? For Python Data Science jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Python Data Science jobs in Ontario look for? The top searched job categories for Python Data Science jobs in Ontario are:
Infographic showing various Python Data Science job openings in Ontario as of July 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $135,015 per year, or $64.9 per hour.
Senior Data Scientist

Senior Data Scientist

Sun Life Financial

King, ON • On-site

Full-time

Posted 17 days ago


Sun Life Assurance Company of Canada rating

8.6

Company rating: 8.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

76th of 281 rated insurance


Job description

You are as unique as your background, experience and point of view. Here, you'll be encouraged, empowered and challenged to be your best self. You'll work with dynamic colleagues - experts in their fields - who are eager to share their knowledge with you. Your leaders will inspire and help you reach your potential and soar to new heights. Every day, you'll have new and exciting opportunities to make life brighter for our Clients - who are at the heart of everything we do. Discover how you can make a difference in the lives of individuals, families and communities around the world.

Job Description:

Role Summary

Within Sun Life, the Data and Analytics COE comprised of savvy and intellectually curious professionals who are on a mission to transform how we apply data and analytics to support Sun Life becoming client centric. An integral part of the Data and Analytics COE organization, the Data Science COE supports Canadian business units in their journey to leverage data and analytics as a foundational pillar in delivering business value.

Reporting to theDirector, Data Science,as aSenior Data Scientistyou will focus on supporting Canadian business units in accelerating the growth and application of advanced analytics in driving value. The senior data scientist will leverage practical experience in applying varied data science techniques & offering advice/inputs to help with the design, development and implementation of analytics use cases.

Sun Life views success in this role in demonstration of these key attributes:

Fierce curiosity.You are drawn to discovering and leveraging new data and taking on challenging business puzzles.An inquisitive mind.Driven to ask questions to help lead projects to commercial value and not being afraid that the innovation attempts can and will lead to failing.A passion for solving problems.The most successful data scientists' solution for what the right data to use, they solve using the most suitable (not most advanced) algorithms for the problem at hand and figure out how to execute and deliver with highest efficiency.Technical skills in both data and computer science.There are 3 core technical skills we look for: in-depth coding knowledge of an analytical tool(s) (i.e., Python); data science techniques and concepts; working with structured data and unstructured data.Thirst for learning.You are a data scientist who is constantly updating their knowledge of data science state-of-the-art.

What you will do:

Data Science and Machine Learning

  • Translate business goals into analytical problems;Identifyoptimal algorithms, statistical techniques and/or GenAI architecture suitable for the business problem at hand
  • Work in cross-functional teams to develop ML/data science products, including GenAI applications
  • Apply best-in-breed data science techniques including descriptive, predictive, and machine learning methods from design to implementation
  • Focus on feature engineering, model training, model evaluation, and prompt engineering for LLMs

GenAI & Agentic AI Development

  • Design, develop, and deploy GenAI solutions including AI agents, chatbots, and autonomous systems that solve complex business problems
  • Research and pilot the latest GenAI technologies, RAG (Retrieval-Augmented Generation) techniques, and agentic frameworks (LangChain, LangGraph, CrewAI etc.)
  • Implement AI bots/agents with advanced reasoning capabilities and tool use patterns
  • Work with vector databases and embedding models to build intelligent information retrieval systems

Technical Leadership & Collaboration

  • Break down broader data science development milestones into actionable goals, activities, and work plans
  • Create and maintain technical design artifacts describing application functionality, data models, interfaces, and integrations
  • Engage and negotiate with stakeholders, make business recommendations with effective presentations of findings at multiple levels of stakeholders
  • Champion continuous improvement and foster innovation within the analytics community

What you need to succeed:

  • Bachelor's degree in Computer Science, Statistics, Mathematics, or related field, or equivalent experience
  • 5+ years experience in developing and implementing data science techniques
  • Proficient in Python for data science and GenAI application development
  • Experience with writing complex SQL and PySpark queries to extract and integrate data from multiple database sources
  • Proficiency in machine learning including supervised and unsupervised models
  • Demonstrated experience in data transformation, data manipulation, and working with structured vs. unstructured data
  • Strong understanding of APIs, microservices architecture, and cloud-native development
  • Hands-on expertise with GenAI frameworks and LLM APIs with experience developing AI bots/agents with reasoning and tool-use capabilities
  • Strong understanding of RAG techniques, prompt engineering, and fine-tuning methodologies and familiarity with vector databases and embedding models
  • Experience with chatbot development concepts and conversational AI design
  • Exceptional communication skills to articulate complex technical concepts to both technical and non-technical stakeholders
  • Effective and concise oral and written storytelling and insights communication skills
  • Ability to work on multiple projects in parallel while managing constantly changing deadlines and priorities
  • Proven ability to mentor andguide junior data scientists and data engineers
  • Strong problem-solving abilities and analytical skills with keen attention to detail

What would be nice to have?

  • Experience with AWS services including SageMaker, Lambda, Bedrock, and other AI/ML services
  • Experience with data warehousing, pipelines, and big data technologies such as AWS Glue for ETL, Glue Catalog, Glue Data Quality,and AWS Step Functions.

Unique Requirements:

  • This role requires Reliability Status Clearance. In addition to a law enforcement inquiry and a credit check, as part of your application, the Government of Canada will ask if you lived or travelled outside of Canada for 6-consecutive months during the last 5 years, and you must account for all activities during this time. Important: Obtaining Reliability Status Clearance within a reasonable amount of time is a condition required to start employment for this role at Sun Life.

  • Must be able to satisfactorily complete applicable background checks prior to the start date and during employment, in accordance with Sun Life's policies and practices.

What's in it for you:

  • We're honoured to be recognized as a 2026 Best Workplaces in Canada by Great Place to Work Canada.

  • We are thrilled to be recognized by Excellence Canada with their top-level certification, the Canada Order of Excellence for Mental Health at Work, for prioritizing employee well-being, fostering a positive work culture, and achieving excellence in mental health.

  • Wellness programs that support the three pillars of your health - mental, physical, and financial

  • The opportunity to move along a variety of career paths with amazing networking potential.

  • As a hybrid organization, you and your leader use business and Client needs to choose where you work, at home or in the office

The Base Pay range is for the primary location for which the job is posted. It may vary depending on the work location of the successful candidate or other factors. In addition to Base Pay, eligible Sun Life employees participate in various incentive plans, payment under which is discretionary and subject to individual and company performance. Certain sales focused roles have sales incentive plans based on individual or group sales results.

Diversity and inclusion have always been at the core of our values at Sun Life. A diverse workforce with wide perspectives and creative ideas benefits our Clients, the communities where we operate and all of us as colleagues. We welcome applications from qualified individuals from all backgrounds.

Persons with disabilities who need accommodation in the application process, or those needing job postings in an alternative format, may e-mail a request to thebrightside@sunlife.com.

We are proud to be a hybrid organization that offers our employees the choice and flexibility to work from both the office and virtually based on the needs of the business, our Clients and you! Several work options are available and can be discussed throughout the selection process depending on the role requirements and individual needs.

We may use artificial intelligence to support candidate sourcing, screening, interview scheduling.

We thank all applicants for showing an interest in this position. Only those selected for an interview will be contacted.

Salary Range:

90,000/90 000 - 140,000/140 000

Job Category:

Advanced Analytics

Posting End Date:

20/07/2026

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