{"id":1723389,"url":"https://alion.io/job/intact-data-scientist-ii-2","title":"Data Scientist II","company":{"id":1050353,"name":"Intact","domain":"intact.ca","url":"https://alion.io/company/intact-ca","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":11,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-08T05:49:30Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Toronto, Canada","Mississauga, Canada","Ajax, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":58000,"max_usd":118000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":2,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"LLM","optional":true},{"name":"Time Series Forecasting","optional":true}],"status":"live","first_seen_at":"2026-05-25T00:00:00Z","employer_posted_date":"2026-05-25","last_verified_at":"2026-10-09T00:58:32Z","board_verified":true,"closed_at":null,"days_open":137,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":136},"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.\nOur 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.\nPay at Intact is about much more than just salary.\nFlexible work arrangements and a hybrid work model\n\nPossibility to purchase up to 5 extra days off per year\n\nMultiple benefits offered to support physical and mental wellbeing, including telemedicine, Wellness account and much more\n\nShare plan & other savings: up to 12% of salary or even more (ask how you could earn guaranteed income for life)\n\nSalary range (but not limited to):\n94,200 - 115,200Annual bonus target, based on the base salary, with a potential payout of up to double the target (subject to personal and company performance):\n10%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.\nOur 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.\nSalary 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.\nAbout the role\nWe’re looking for Data Scientist II to join our growing teams. You’ll build 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.\nWhat you'll do here:\nBuild, validate, and deliver analytics and machine learning solutions that translate complex data into clear insights and recommendations. \nWrite production-quality code that is stable, testable, and maintainable; contribute to shared standards through code reviews and documentation. \nApply sound statistical and machine learning methodology (e.g., experiment design, appropriate validation, model evaluation, monitoring) and continuously improve how we measure quality and impact. \nWork independently on scoped problems-from ambiguity to implementation-taking ownership of technical tasks and driving them to completion. \nRecommend and use appropriate tools, packages, and libraries to solve problems efficiently and reliably. \nPartner closely with stakeholders across the organization to define success metrics, communicate trade-offs, and enable data-driven decisions. \nSupport and elevate teammates by collaborating on technical challenges, sharing best practices, and contributing to a learning culture. \nHelp the team stay focused on priorities by raising risks early, aligning on scope, and contributing to the technical direction and evolution of our approaches and platforms. \nMaintain and improve data science tools and platforms, helping ensure efficiency, reliability, and repeatability of our work. \nWhat you bring to the table:\nDegree in a relevant discipline (e.g., mathematics, engineering, operations research, statistics, geomatics, AI) or an equivalent combination of education and experience. \n2+ years of experience in advanced statistics, data mining, and/or text mining, with evidence of delivering real-world outcomes. \nStrong Python skills and Git-based development practices (e.g., version control, peer review); experience writing tests and producing clear technical documentation. \nSolid understanding of machine learning methods and when to use them; comfortable explaining results and limitations to both technical and non-technical audiences. \nStrong problem-solving skills and comfort operating in partially defined problem spaces. \nStrong communication, organizational, and time management skills in a multi-project environment. \nNo Canadian work experience required however must be eligible to work in Canada. \nAssets (nice to have)\nInsurance Pricing / Segmentation (e.g., GLM/GBM, segmentation, model calibration, portfolio impact measurement). \nAI Governance experience / AI tool building for underwriting\nCall Center Optimization (e.g., demand forecasting, staffing/queueing concepts, routing optimization, speech/text analytics). \nIntelligent Document Processing and Information Retrieval (e.g., document preprocessing, classification and summarization, advanced information retrieval, LLM-assisted and Agentic workflows, Complex decision making). \nUsage-Based Insurance (UBI) / telematics (e.g., time-series feature engineering, driver scoring, monitoring drift/seasonality). \n#LI-Hybrid\nIl s'agit d'un nouveau rôle au sein de notre équipe en pleine croissance | This role is a new member of our growing team.\nWe are an equal opportunity employer\nAt 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.\nWe 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.\nAs 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.\nWe 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.\nIf 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.\nLearn more about our recruitment process and your candidate journey here.\nPlease 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.\nIf you are an employee of Intact or belairdirect, please apply for this role on Internal Career Site.","description_format":"text","description_chars":7032,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[{"name":"Canada","iso":"CA","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-02T21:26:53Z"}],"visa":[],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.248,"p_room":0.28,"age_days":136,"expected_fill_days":30,"reasons":["conf:6","stale_co","velocity","win:tail","crowd:"],"computed_at":"2026-10-08T05:49:30Z"},"pay":null,"html_url":"https://alion.io/job/intact-data-scientist-ii-2","json_url":"https://alion.io/job/intact-data-scientist-ii-2.json","meta":{"generated_at":"2026-10-09T03:15:46Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1722,"day_limit":5000,"remaining_today":3278,"minute_limit":60,"resets_at":"2026-10-10T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1050353},"rest":"https://alion.io/mcp/rest/get_company?id=1050353"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fintact-data-scientist-ii-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fintact-data-scientist-ii-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fintact-data-scientist-ii-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/intact-data-scientist-ii-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fintact-data-scientist-ii-2"}]}