Intact (intactfc.com) Logo

Intact (intactfc.com)

Senior Data Scientist

Reposted One Month Ago
In-Office
Toronto, ON, CAN
Senior level
In-Office
Toronto, ON, CAN
Senior level
As a Senior Data Scientist, you will design AI solutions, lead NLP implementation, and mentor junior staff while transforming data into actionable insights.
The summary above was generated by AI

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.

About the role

We’re looking for a Senior Data Scientist to join our growing team!
What you'll do here:

  • Design and develop end-to-end AI solutions to tackle real business cases.  
  • Lead the exploration, implementation, and testing of new NLP solutions. 
  • Transform complex and unstructured data into actionable insights and outcomes. 
  • Use analytics to understand software usage patterns and give recommendations on improvements  
  • Work closely with stakeholders to understand their needs and translate them into technical solutions. 
  • Collaborate with data scientists, developers, designers, in a cross-functional team to build software in AWS. 
  • Act as a technical lead and reference for data science team. 
  • Coach and mentor junior members of the team 
  • Lead and enforce data science best practices: coding, peer-review, experimentation and testing. 

What you bring to the table:

  • Master’s degree in a relevant discipline (computer science, mathematics, AI, engineering, or a related field), or any combination of equivalent education and experience. 
  • At least 5 years of experience in data science applications and product development, with a strong focus on NLP and machine learning. 
  • Experience with Large Language Models (LLMs) - integrating with APIs and evaluation techniques. 
  • Experience with developing, deploying, and maintaining software in cloud environments (strong preference for AWS). 
  • Multi-platform production experience with the following: Python, GitHub, AWS, and CI/CD tools. 
  • Expert-level understanding of the underlying theory of machine learning. 
  • Can focus on vaguely defined issues requiring the application of a creative approach. 
  • Ability to collaborate with others and to coach junior members of staff. 
  • Enthusiasm for teamwork. 
  • Strong communication, time management and work organization skills. 
  • No Canadian work experience required however must be eligible to work in Canada. 

#LI-Hybrid

    What we offer
     

    Our hybrid work model provides the balance between working from home and enjoying meaningful in-person interactions.

    Working here means you'll be empowered to be and do your best every day. Here is some of what you can expect as a permanent member of our team:

    • A financial rewards program that recognizes your success

    • An industry leading Employee Share Purchase Plan; we match 50% of net shares purchased

    • An extensive flex pension and benefits package, with access to virtual healthcare

    • Flexible work arrangements

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

    • An annual wellness account that promotes an active and healthy lifestyle

    • Access to tools and resources to support physical and mental health, embracing change and connecting with colleagues

    • A dynamic workplace learning ecosystem complete with learning journeys, interactive online content, and inspiring programs

    • Inclusive employee-led networks to educate, inspire, amplify voices, build relationships and provide development opportunities

    • Inspiring leaders and colleagues who will lift you up and help you grow

    • A Community Impact program, because what you care about is a part of what makes you different. And how you contribute to your community should be just as unique.

    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.

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

    HQ

    Intact (intactfc.com) Toronto, Ontario, CAN Office

    Toronto, Canada

    Intact (intactfc.com) Ajax, Ontario, CAN Office

    Ajax, Canada

    Intact (intactfc.com) Brampton, Ontario, CAN Office

    Brampton, Canada

    Intact (intactfc.com) Mississauga, Ontario, CAN Office

    Mississauga, Canada

    Similar Jobs

    4 Days Ago
    In-Office
    Brampton, ON, CAN
    Senior level
    Senior level
    Transportation
    Develop and deploy production-grade machine learning and AI solutions for fleet analytics, logistics optimization, forecasting, anomaly detection, predictive maintenance, and operational decision-making. Build batch and real-time pipelines, MLOps workflows, analytical data models, dashboards, and LLM-powered systems using Google Cloud, Kafka, RisingWave, BigQuery, and related technologies. Collaborate with stakeholders to translate business problems into scalable data science solutions.
    Top Skills: AirflowAlloydb PostgresqlAWSAzureBigQueryCagCloud ComposerCloud FunctionsDatabricksDataflowDataprocGCPGoogle McpHugging FaceKafkaKagLightgbmMatillionNumpyOllamaOpenaiPandasPub/SubPythonPyTorchRagRisingwaveScikit-LearnSnowflakeSQLTensorFlowVertex AiXgboost
    8 Days Ago
    In-Office or Remote
    2 Locations
    Senior level
    Senior level
    Software • Cybersecurity
    Provides technical leadership for applied AI and data science initiatives from experimentation through production. Builds machine learning and generative AI solutions for anomaly detection, malicious behavior detection, fraud analysis, and security use cases. Designs LLM, retrieval, embedding, and agentic workflows; establishes evaluation and monitoring practices; partners with engineering and MLOps on reliable deployment; advises stakeholders; mentors technical contributors; and promotes secure, scalable, and responsible AI practices.
    Top Skills: AnthropicAws SagemakerAzure MlCi/CdClaudeClaude CodeCodexDatabricksGitGithub CopilotHugging FaceLangchainLanggraphLlm ApisMcpMlflowOpenaiPysparkPythonScikit-LearnSemantic Kernel
    11 Days Ago
    In-Office or Remote
    3 Locations
    Senior level
    Senior level
    Fintech • Software • Financial Services
    Develop, validate, implement, maintain, and monitor predictive models supporting property and casualty claims reserving. Translate actuarial objectives into statistical and machine-learning solutions, deliver production-ready analytics, evaluate model performance, and strengthen governance, documentation, testing, controls, and monitoring. Collaborate with actuaries and business intelligence partners, integrate analytics into recurring processes, provide evidence-based recommendations, and coach peers on analytical practices.
    Top Skills: Cloud-Based Analytical EnvironmentsDatabricksPythonRSQL

    What you need to know about the Toronto Tech Scene

    Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.

    Sign up now Access later

    Create Free Account

    Please log in or sign up to report this job.

    Create Free Account