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Flexible Data Coding Jobs in Toronto, ON (NOW HIRING)

Flexible work arrangements and a hybrid work model * Possibility to purchase up to 5 extra days off ... Write production-quality code that is stable, testable, and maintainable; contribute to shared ...

Data Engineer

Markham, ON · On-site

CA$90K - CA$150K/yr

Familiarity with infrastructure-as-code and CI/CD practices for data pipeline deployment (e.g ... flexible work arrangements and more. Our company culture is driven by our 4 Cs - we are Client ...

Data Engineer

Concord, ON · On-site

CA$90K - CA$150K/yr

Familiarity with infrastructure-as-code and CI/CD practices for data pipeline deployment (e.g ... flexible work arrangements and more. Our company culture is driven by our 4 Cs - we are Client ...

Experience with cloud platforms (Azure, GCP) and infrastructure-as-code tools (Terraform ... Competitive Rewards program including bonus, flexible vacation, personal, sick days, and benefits ...

Experience with cloud platforms (Azure, GCP) and infrastructure-as-code tools (Terraform ... Competitive Rewards program including bonus, flexible vacation, personal, sick days, and benefits ...

Lead Data Scientist

Mississauga, ON · On-site +1

CA$108K - CA$157K/yr

Toronto, ON (Flexible working - 40% home office / week) About the job Ready to push the limits of ... Develop and promote reusable frameworks, coding standards, accelerators, documentation, and best ...

Lead Data Scientist

Brampton, ON · On-site +1

CA$108K - CA$157K/yr

Toronto, ON (Flexible working - 40% home office / week) About the job Ready to push the limits of ... Develop and promote reusable frameworks, coding standards, accelerators, documentation, and best ...

Lead Data Scientist

Unionville, ON · On-site +1

CA$108K - CA$157K/yr

Toronto, ON (Flexible working - 40% home office / week) About the job Ready to push the limits of ... Develop and promote reusable frameworks, coding standards, accelerators, documentation, and best ...

Lead Data Scientist

Maple, ON · On-site +1

CA$108K - CA$157K/yr

Toronto, ON (Flexible working - 40% home office / week) About the job Ready to push the limits of ... Develop and promote reusable frameworks, coding standards, accelerators, documentation, and best ...

Lead Data Scientist

Toronto, ON · On-site +1

CA$108K - CA$157K/yr

Toronto, ON (Flexible working - 40% home office / week) About the job Ready to push the limits of ... Develop and promote reusable frameworks, coding standards, accelerators, documentation, and best ...

Hybrid Reference code: 134556 Primary Location: Toronto, ON All Available Locations: Toronto, ON ... Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and ...

Source code control: GIT * Experience working in agile/SaFe environment * Advanced Power BI ... Flexible work/life balance options * Opportunities to do challenging work Job Skills Big Data ...

Hybrid Reference code: 134780 Primary Location: Toronto, ON All Available Locations: Toronto, ON ... Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and ...

You will be working on a flexible hybrid schedule as part of Fidelity's dynamic working arrangement ... codes and client categories, and master data such as clients, vendors, product and employees.

Showing results 21-40

Flexible Data Coding information

What is flexible data coding?

Flexible data coding jobs involve categorizing, labeling, or organizing data according to specific guidelines, often for use in research, machine learning, or business analytics. These roles are typically remote or offer flexible hours, allowing workers to complete tasks on their own schedule. The work may include tagging images, transcribing audio, classifying text, or entering information into databases. Flexible data coding jobs are popular for those seeking part-time or remote work and often require attention to detail and basic computer skills.

What are some common challenges faced in a flexible data coding role, and how can they be managed?

In a Flexible Data Coding role, professionals often encounter challenges such as handling large volumes of unstructured data, ensuring consistency in data labeling, and adapting quickly to changing project requirements. Effective communication with team members and clear documentation of coding protocols can help maintain accuracy and efficiency. Utilizing automated tools where appropriate and staying updated on coding standards also greatly assists in overcoming these challenges and delivering high-quality results.

What are the key skills and qualifications needed to thrive as a flexible data coder, and why are they important?

To excel as a Flexible Data Coder, you need strong analytical skills, attention to detail, and a solid understanding of data management or coding systems, often supported by a degree in computer science, information systems, or a related field. Familiarity with coding languages (such as SQL, Python, or R), data entry platforms, and data quality assurance tools is typically required. Strong problem-solving abilities, adaptability, and effective communication help professionals address data discrepancies and collaborate with diverse teams. These skills and qualities ensure accurate data processing, maintain data integrity, and support efficient decision-making within organizations.

What is the difference between Flexible Data Coding vs Data Analyst?

AspectFlexible Data CodingData Analyst
Required CredentialsBasic coding skills, possibly certifications in data managementDegree in statistics, data science, or related field; often certifications in analytics tools
Work EnvironmentData entry, coding, and database management in various industriesData analysis, reporting, and visualization in corporate or research settings
Employer & Industry UsageUsed across industries for data organization and coding tasksCommonly employed in finance, marketing, healthcare, and tech sectors

Flexible Data Coding focuses on coding and organizing data efficiently, often with basic programming skills. Data Analysts interpret and analyze data to inform business decisions, requiring more advanced analytical skills. While both roles work with data, their core functions and skill requirements differ significantly.

What are the most commonly searched types of Data Coding jobs in Toronto, ON?

The most popular types of Data Coding jobs in Toronto, ON are:

Data Scientist II

Intact Financial

Toronto, ON • On-site

Full-time

Life, Retirement

Re-posted 26 days ago


Key responsibilities

  • Build, validate, and deliver analytics and machine learning solutions that translate complex data into clear insights and recommendations.

  • Write production-quality code that is stable, testable, and maintainable; contribute to shared standards through code reviews and documentation.

  • Partner closely with stakeholders across the organization to define success metrics, communicate trade-offs, and enable data-driven decisions.


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 Data Scientist II to join our growing teams.You'llbuild and deliver data science solutions end-to-end, framing problems with partners, developing and validating models with strong scientific practices, and contributing to a team culture of high-quality engineering, knowledge sharing, and continuous improvement.


What you'll do here:


  • Build,validate, and deliver analytics and machine learning solutions that translate complex data into clear insights and recommendations.
  • Write production-quality code that is stable, testable, and maintainable; contribute to shared standards through code reviews and documentation.
  • Apply sound statistical and machine learningmethodology(e.g., experiment design,appropriate validation, model evaluation, monitoring) and continuously improve how we measure quality and impact.
  • Work independently on scoped problems-from ambiguity to implementation-taking ownership of technical tasks and driving them to completion.
  • Recommend and useappropriate tools, packages, and libraries to solve problems efficiently and reliably.
  • Partner closely with stakeholders across the organization to define success metrics, communicate trade-offs, and enable data-driven decisions.
  • Support and elevate teammates by collaborating on technical challenges, sharing best practices, and contributing to a learning culture.
  • Help the team stay focused on priorities by raising risks early,aligning onscope, and contributing to the technical direction and evolution of our approaches and platforms.
  • Maintain and improve data science tools and platforms, helping ensure efficiency, reliability, and repeatability of our work.

What you bring to the table:


  • Degree in a relevant discipline (e.g., mathematics, engineering, operations research, statistics, geomatics, AI) or an equivalent combination of education and experience.
  • 2+ years of experience in advanced statistics, data mining, and/or text mining, with evidence of delivering real-world outcomes.
  • Strong Python skills and Git-based development practices (e.g., version control, peer review); experience writing tests and producing clear technical documentation.
  • Solid understanding of machine learning methods and when to use them; comfortable explaining results and limitations to both technical and non-technical audiences.
  • Strong problem-solving skills and comfortoperatingin partially defined problem spaces.
  • Strong communication, organizational, and time management skills in a multi-project environment.
  • No Canadian work experiencerequiredhowever must be eligible to work in Canada.

Assets (nice to have)


  • Insurance Pricing / Segmentation (e.g., GLM/GBM, segmentation, model calibration, portfolio impact measurement).
  • AI Governance experience / AI tool building for underwriting
  • Call Center Optimization (e.g., demand forecasting, staffing/queueing concepts, routing optimization, speech/text analytics).
  • Intelligent Document Processing and Information Retrieval(e.g.,document preprocessing,classificationandsummarization,advanced information retrieval,LLM-assistedand Agenticworkflows, Complex decision making).
  • Usage-Based Insurance (UBI) / telematics (e.g., time-series feature engineering, driver scoring, monitoring drift/seasonality).

#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