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Python Consultant Jobs in Ontario (NOW HIRING)

Senior Coastal Consultant

Ottawa, ON · On-site

CA$85K - CA$105K/yr

Senior Coastal Consultant Location: Ottawa, Victoria or Halifax offices Employment Type: Permanent ... Experience with Python, MATLAB or other numerical modelling software. At BMT we believe in hiring ...

Senior Coastal Consultant

Ottawa, ON · On-site

CA$85K - CA$105K/yr

Senior Coastal Consultant Location: Ottawa, Victoria or Halifax offices Employment Type: Permanent ... Experience with Python, MATLAB or other numerical modelling software. At BMT we believe in hiring ...

Technical Consultant

Ottawa, ON

CA$112K - CA$144K/yr

You will provide 2nd and 3rd Tier consultation and debug complex network topologies. Act as a ... Proficiency in automation and scripting (e.g., Python) to develop digital tools and improve ...

Support our Risk Consulting teams (Governance, Risk & Compliance Services, Technology Risk Services ... Proficiency in data analysis tools and programming languages such as Python, R, or SQL to analyze ...

We are seeking a highly skilled and experienced Consultant NodeJS with AWS (cloud) to join our team ... Python or Java * Experience with other Java technologies such as JSF framework, AJAX, Spring ...

Our service contains the collective intelligence of more than 2000 consultants offering a ... Python, Databricks, PySpark or Spark, SQL, Airflow, Cloud (AWS, GCP, Azure) * Strong communication ...

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Python Consultant information

See Ontario salary details

$11

$58

$103

How much do python consultant jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for python consultant in Ontario is $58.94, according to ZipRecruiter salary data. Most workers in this role earn between $38.22 and $85.10 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python Consultant, and why are they important?

To thrive as a Python Consultant, you need strong expertise in Python programming, software development best practices, and often a degree in computer science or related fields. Familiarity with frameworks like Django or Flask, experience in cloud platforms, version control systems (e.g., Git), and relevant certifications such as PCEP or PCAP are highly valuable. Exceptional problem-solving, communication, and client management skills distinguish top consultants in this role. These competencies are essential for delivering tailored technical solutions, ensuring project success, and building lasting client relationships.

What Is the Job of a Python Consultant?

As a Python consultant, your job is to help with coding and development using the Python language. To accomplish this, you may collect information on the operating environment, determine whether or not Python is the best language for the job, and troubleshoot problems with source code. Python consultants frequently use data manipulation and analysis programming, develop predictive models, provide design assistance, present results and suggestions to clients, and generate useful insights to explain to stakeholders. Some details of this job vary by company—one employer may have you at a desk all the time, while another may ask you to travel frequently to provide in-person help at different offices.

How does a Python Consultant typically collaborate with client teams during a project?

A Python Consultant usually works closely with client teams by first understanding their technical requirements and existing systems. They often participate in regular meetings, provide guidance on best practices, and sometimes mentor in-house developers on Python frameworks and tools. Collaboration tools like Slack, GitHub, and project management platforms are commonly used to maintain clear communication and track progress. The consultant may also conduct code reviews, propose architectural improvements, and help troubleshoot complex issues, ensuring that the client team becomes more self-sufficient over time.

Is Python a high paying job?

Python consultants and developers often earn competitive salaries due to the high demand for Python skills in data analysis, machine learning, and web development. Salaries vary based on experience, location, and certifications, but Python expertise generally commands above-average compensation in the tech industry.

What is a Python consultant?

A Python consultant is a professional who specializes in developing, analyzing, and optimizing software solutions using the Python programming language. They often work on projects involving data analysis, automation, web development, or machine learning, and typically possess strong coding skills and experience with relevant frameworks and tools.

Will AI replace Python coders?

Python consultants and developers are essential for designing, implementing, and maintaining AI systems, but AI automation tools are more likely to augment rather than fully replace human coders. Skills in problem-solving, understanding complex logic, and adapting to new technologies remain valuable in the evolving tech environment. Continuous learning and expertise in AI frameworks like TensorFlow or PyTorch help Python professionals stay relevant.

Are Python still in demand in 2026?

Python consultants are expected to remain in high demand in 2026 due to Python's widespread use in data science, machine learning, web development, and automation. Proficiency with frameworks like Django or Flask and knowledge of related tools will continue to enhance job prospects in this field.
What are popular job titles related to Python Consultant jobs in Ontario? For Python Consultant jobs in Ontario, the most frequently searched job titles are:
What job categories do people searching Python Consultant jobs in Ontario look for? The top searched job categories for Python Consultant jobs in Ontario are:
What are popular job titles related to Python Consultant jobs in ON? For Python Consultant jobs in ON, the most frequently searched job titles are:
Senior Consultant, Quantitative Risk Modelling

Senior Consultant, Quantitative Risk Modelling

CIBC

Toronto, ON

Full-time

Retirement

Posted 25 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

What you'll be doing

As a Senior Consultant, Quantitative Risk Modeling in CIBC's Client Credit Risk Analytics group, you'll play a pivotal role in developing statistical and machine learning models and AI solutions that drive credit risk strategies for retail lending products. You'll lead end-to-end optimization and strategy projects, collaborating with risk partners to optimize the risk/revenue tradeoff and enhance the client experience. Your expertise in modeling, data analysis, and governance will support the creation of robust models that predict key client performance metrics such as losses, delinquencies, balances, and revenues. You'll communicate complex model results to both specialist and non-specialist audiences, maintain rigorous model governance standards, and ensure all work aligns with CIBC's compliance policies. This role offers the opportunity to make a direct impact on CIBC's risk management and business performance through innovative modeling and strategic insight.

At CIBC we enable the work environment most optimal for you to thrive in your role. To successfully perform the work, you'll be on-site full-time.

How you'll succeed

  • Model Development & Optimization - Lead the planning, development, verification, and testing of statistical and machine learning models for credit risk strategies, ensuring models meet statistical standards and business objectives.

  • Databricks Process & Model Flow - Architect, implement, and optimize end-to-end model development workflows in Databricks, ensuring seamless integration, reproducibility, and scalability of AI/ML models.

  • Strategy Implementation - Create complex strategies for production and implementation using tools such as FICO Decision Optimizer, Python, Databricks, and SAS.

  • Communication & Stakeholder Engagement - Present model results to both technical and non-technical audiences, translating technical findings into actionable business insights.

  • Governance & Compliance - Write model validation documentation, maintain replicable codes, and monitor model performance in alignment with model governance standards.

  • Cross-Functional Collaboration - Work closely with Risk Analytics, Credit Decisioning, Model Validation, and other teams to support strategy development and vetting processes.

Who you are

  • You have advanced analytics and AI experience. You hold a Master's degree or PhD in a quantitative field such as analytics, statistics, mathematics, computer science, or a related discipline. You bring over 3 years of progressive experience in data analytics and machine learning, with a strong background in retail credit risk management, ideally within the banking industry.

  • You're an expert in agentic AI and machine learning. You have hands-on experience developing, deploying, and monitoring agentic AI systems, and you've built and managed complex machine learning models for real-world applications, preferably in financial services.

  • You have technical mastery in Python and Databricks. You're highly skilled in Python and have extensive experience with Databricks, including managing end-to-end process and model flows. You're comfortable with large-scale data processing, model orchestration, and applying MLOps best practices.

  • You have an ownership mindset. You're results-driven, take initiative, and demonstrate a strong sense of ownership in your work. You're motivated to achieve goals and deliver impactful outcomes.

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

#L1-TA

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 aspire to give you a career, rather than just a paycheck.

  • We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, 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.

  • We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.

*Subject to plan and 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.

Job Location

Toronto-81 Bay, 31st Floor

Employment Type

Regular

Weekly Hours

37.5

Skills

Analytical Thinking, Credit Risks, Decision Making, Group Problem Solving, Model Analysis, Regulatory Requirements, Risk Models, Risk Monitoring, Risk Quantification