OverviewCaseware is one of Canada's original Fintech companies, with over 30 years in the global audit and accounting software industry, more than 500,000 users across 130 countries and availability in 16 languages. Caseware International Inc. is hiring an Applied Data Scientist to deliver AI-powered, data-driven capabilities across our cloud platform. This role is embedded within the Product organization, partnering with Product Management, Engineering, Design, and the broader Data & Analytics function. You will apply machine learning and applied AI to real customer workflows—building production-grade models and AI-enabled capabilities that improve efficiency, quality, and professional judgment for accounting and audit professionals. The emphasis is on applied, trustworthy AI over theoretical research, working with complex, real-world data in a product-led environment where AI and data science are integrated into product conception, governance, and scaling.You will be responsible for applying data science and machine learning to high-impact customer problems across Caseware’s cloud platform, transforming large, heterogeneous datasets generated by customer workflows, documents, configurations, and system interactions into trusted, explainable, production-ready AI-powered capabilities.ResponsibilitiesCollaborate with Product Managers and Subject Matter Domain Experts to frame problems, define success metrics, and prioritize opportunitiesPartner with Engineering to operationalize models and integrate them into scalable, secure systemsWork with Design to ensure insights and AI-powered features are understandable, usable, and trusted by professionalsContribute to establishing strong, repeatable patterns and standards for applied data science and AI within a modern, product-led organizationThis is a New Role; this is a Full-time permanent positionLocation: Hybrid role requiring 3 days per week in Toronto office at 351 King St E, Suite 1100, Toronto, ONWhat you will be doingCollaborate with cross-functional product teams to identify, scope, and solve customer problems using data science and machine learningDesign, develop, and deploy statistical models and ML solutions powering customer-facing features and internal product intelligenceWork with large-scale, real-world datasets to uncover patterns and opportunities for product improvementBuild end-to-end data science workflows, including data exploration, feature engineering, model training, evaluation, deployment, and monitoringPartner with Engineering and Platform teams to ensure models are reliable, performant, explainable,



scalable, cost-efficient at product scale, and production-readyDefine and measure success using clear metrics, experimentation, and post-launch analysisContribute to responsible AI practices, including transparency, bias awareness, data quality, and model governanceCommunicate insights, trade-offs, and recommendations clearly to technical and non-technical stakeholdersHelp shape best practices for applied data science within a contemporary, product-led organizationInterfaces / StakeholdersProduct Management (Platform, AI, Domain Solutions)Software Engineering (Backend, Data, Platform)Design & ResearchAnalytics & ExperimentationArchitecture and Platform LeadershipDecision-Making AuthorityTechnical ownership of data science approaches for assigned product initiativesRecommendation authority on modeling techniques, evaluation methods, and data usageInfluence on product prioritization through insight generation and impact analysisInput into tooling and platform decisions related to applied data scienceWhat you will bringBachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field3+ years of experience in an applied data science or machine learning role within a product or technology-driven organizationStrong proficiency in Python and common data science libraries (e.G., pandas, NumPy, scikit-learn)Experience working with SQL and modern data warehouses or data lake architecturesSolid grounding in statistics, machine learning methods, and model evaluationExperience deploying, monitoring, or supporting models in production environmentsComfort working with ambiguous problem spaces and imperfect dataStrong communication skills and ability to collaborate across disciplinesSalary RangeThe annual base salary for this position is between$144,000 CADand$157,200 CADper year. This role is also eligible for discretionary bonus and/or commission, as well as other benefits. Actual pay within the listed range will be determined based on factors such as transferable skills, relevant experience, market conditions, and primary work location.



The posted range is subject to change and may be updated periodically.What’s in it for youInnovation is at our core.We work with cutting-edge technology in accounting and financial reporting, constantly pushing the boundaries to create impactful software solutions.We are committed to a collaborative culture,where your ideas are valued, and knowledge sharing is encouraged within a supportive, inclusive team.Work-life balance is important to us.We offer flexible work options, remote opportunities, and generous time-off policies to ensure a healthy work-life balance.We offer competitive compensation,including a competitive salary and comprehensive benefits such as health insurance and retirement plans.We are driven by impactful work. Your contributions directly affect how our clients manage financial processes and drive their success.Recognition and rewards matter to us. We celebrate hard work through recognition programs, performance bonuses, and opportunities for career growth.We embrace global opportunities. Work on international projects and collaborate with a diverse, global team.About CasewareCaseware's cutting-edge software products are designed for accounting firms, corporations, and governments. Our teams collaborate, innovate, and build upon our suite of products with a customer-focused mindset, shaping the future of audits, financial reporting, and financial data analytics. In 2020, Hg Capital invested in Caseware, fueling growth. We are committed to building diverse, equitable, and inclusive teams. We welcome candidates of all backgrounds to apply. For accommodations or questions during the application or interview process, please email [email protected] UsageThe recruitment process may use AI-assisted tools but not for candidate screening or assessment. All final hiring decisions are made by humans to ensure fairness, transparency, and oversight.Background CheckAny candidates who receive an offer will need to successfully complete a background check through Certn.Co, typically including Identity Verification and Criminal Record Check. Executives and Senior Managers will undergo a Soft Credit Check. Candidates in the Netherlands and Germany are excluded from Certn.Co background checks.Security and FraudCaseware takes the security of candidates seriously. All legitimate communication will come from @caseware.Com email addresses and positions are listed on reputable job boards and our website. We will NEVER ask for payment or financial information. If you receive an unsolicited job offer, proceed with extreme caution.#J-18808-Ljbffr

📌 Applied Data Scientist - C$144,000 - C$157,200 A Year (Toronto)
🏢 CaseWare International
📍 Toronto