What is the salary for this Applied Data Scientist role?

Salary information is not publicly listed for this position. Apply directly to discuss compensation with Caseware.

Where is this Applied Data Scientist position located?

This is an on-site position at Caseware located in Toronto, ON.

How do I apply for this Applied Data Scientist job at Caseware?

Click the 'Apply' button on this page to be redirected to Caseware's application portal. Make sure to have your resume ready and tailor your application to highlight relevant experience.

Caseware is actively hiring for Data roles. Visit the company page to see all open positions and learn more about working at Caseware.

Applied Data Scientist

Caseware Toronto, ON Today

data

Caseware is one of Canada's original Fintech companies, having led the global audit and accounting software industry for over 30 years, with more than 500,000 users across 130 countries and available in 16 different languages. While you might not have heard of us (yet) over 36,000 accounting and audit professionals list Caseware as a skill on their LinkedIn profiles!

Caseware International Inc. is hiring an Applied Data Scientist to help deliver AI-powered, data-driven capabilities across our cloud platform.

This role is embedded within the Product organization, working in close partnership with Product Management, Engineering, Design, and the broader Data & Analytics function. You will focus on applying machine learning and applied AI to real customer workflows—building production-grade models and AI-enabled capabilities that materially improve efficiency, quality, and professional judgment for accounting and audit professionals.

The emphasis is on applied, trustworthy AI over theoretical research. You will work with complex, real-world data and collaborate in a product-led environment where AI and data science are tightly integrated into how products are conceived, built, governed, and scaled.

You will be responsible for applying data science and machine learning to high-impact customer problems across Caseware’s cloud platform. This includes working with large, heterogeneous datasets generated by customer workflows, documents, configurations, and system interactions, and transforming them into trusted, explainable, and production-ready AI-powered capabilities.

You will partner closely with:

•Product Managers and Subject Matter Domain Experts to frame problems, define success metrics, and prioritize opportunities

•Engineering to operationalize models and integrate them into scalable, secure systems

•Design to ensure insights and AI-powered features are understandable, usable, and trusted by professionals

In this role, you will contribute to establishing strong, repeatable patterns and standards for how applied data science and AI are practiced within a modern, product-led organization.

❗This is a New Role

❗This is a Full-time permanent position

📍Location: This is a hybrid role requiring the successful candidate to work 3 days a week in our Toronto office, located at 351 King St E, Suite 1100, Toronto, ON.

What you will be doing:

Collaborate with cross-functional product teams to identify, scope, and solve customer problems using data science and machine learning.

Design, develop, and deploy statistical models and ML solutions that power customer-facing features and internal product intelligence.

Work with large-scale, real-world datasets (including structured, semi-structured, and workflow-generated data) to uncover patterns and opportunities for product improvement.

Build end-to-end data science workflows, including data exploration, feature engineering, model training, evaluation, deployment, and ongoing monitoring.

Partner with Engineering and Platform teams to ensure models are reliable, performant, explainable, scalable, cost-efficient at product scale, and production-ready.

Define and measure success using clear metrics, experimentation, and post-launch analysis.

Contribute to responsible AI practices, including transparency, bias awareness, data quality, and model governance.

Communicate insights, trade-offs, and recommendations clearly to both technical and non-technical stakeholders.

Help shape best practices for applied data science within a modern, product-led organization.

Key Interfaces / Stakeholders

Product Management (Platform, AI, Domain Solutions)

Software Engineering (Backend, Data, Platform)

Design & Research

Analytics & Experimentation

Architecture and Platform Leadership

Decision-Making Authority

Technical ownership of data science approaches for assigned product initiatives

Recommendation authority on modeling techniques, evaluation methods, and data usage

Influence on product prioritization through insight generation and impact analysis

Input into tooling and platform decisions related to applied data science

What you will bring:

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.

3+ years of experience in an applied data science or machine learning role within a product or technology-driven organization.

Strong 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 architectures.

Solid grounding in statistics, machine learning methods, and model evaluation.

Experience deploying, monitoring, or supporting models in production environments.

Comfort working with ambiguous problem spaces and imperfect data.

Strong communication skills and ability to collaborate across disciplines.

Salary Range:

The annual base salary for this position is between $144,000 CAD and $157,200 CAD per 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 you:

▪️Innovation 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 Caseware:

Caseware's cutting-edge software products are meticulously designed for accounting firms, corporations, and governments. Our teams are continually collaborating, innovating, and building upon our existing suite of products. With a customer-focused mindset, we are building technology that is shaping what the future of audits, financial reporting, and financial data analytics will look like.

With a recent strategic investment from Hg Capital in 2020, Caseware is now in its next major growth phase as we double down on the people and products that have made Caseware so successful to date.

One of Caseware's core values is Many Voices, One Team and with that in mind, we're dedicated to building teams as diverse as our customers in an equitable and inclusive way. We welcome and encourage candidates of all backgrounds to apply. Should you require accommodations or have any questions at any point during the application or interview process, please e-mail our People Operations team at talent@caseware.com.

AI Usage:

The 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 Check:

Any candidates successful in obtaining an offer for a position will need to successfully complete a background check through Certn.co which typically includes an Identity Verification and Criminal Record Check. Executives and Senior Managers will undergo a Soft Credit Check as well. Candidates residing in the Netherlands and Germany are excluded from undergoing background checks via Certn.co

Security and Fraud:

Caseware takes the security of candidates seriously. All legitimate communication from us will come from email addresses ending in @caseware.com and our open positions are always listed on reputable job boards and on our website https://jobs.lever.co/caseware. We will NEVER ask for payment or financial information from you. If you receive an unsolicited job offer, proceed with extreme caution.