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About the Role

Thomson Reuters Legal is seeking a Lead Data Scientist to power data-driven growth and adoption of AI-enabled legal solutions. This role involves designing, building, and maintaining predictive models, such as propensity-to-upgrade models, to identify customers likely to expand into AI products. You will collaborate with various teams to ensure insights and models are actionable and embedded into workflows, focusing on production-ready models that drive experimentation and customer value.

Responsibilities

Design, build, and maintain predictive models that support customer expansion, including propensity-to-upgrade and engagement scoring models.
Use behavioral, usage, firmographic, and lifecycle data to identify signals that indicate readiness for AI adoption and expansion.
Partner with Lifecycle Marketing to translate model outputs into actionable segments and testable hypotheses across the customer lifecycle.
Collaborate closely with Marketing Operations to operationalize models within the Customer Data Platform (Treasure Data) for activation and measurement.
Develop features and datasets using product usage data, campaign engagement, learning activity, and customer attributes.
Validate, monitor, and continuously improve model performance, ensuring accuracy, explainability, and alignment to business outcomes.
Support experimentation by defining success metrics, analyzing lift, and interpreting results to inform optimization decisions.
Document modeling approaches, assumptions, and outputs to enable transparency, reuse, and cross-functional understanding.
Work cross-functionally with Data Engineering, Product, Customer Success, and Commercial teams to ensure data quality and aligned outcomes.

Requirements

5+ years of experience in data science, analytics, or applied machine learning in a B2B SaaS or subscription-based environment.
Experience building predictive or classification models that influence customer growth, retention, or expansion decisions.
Strong proficiency in Python or similar data science tools, including feature engineering and model evaluation.
Demonstrated experience working with large, complex datasets such as product usage, behavioral logs, or campaign data.
Experience partnering with Marketing, Growth, or Customer Success teams to translate insights into action.
Familiarity with deploying or activating models within analytics platforms or CDPs; experience with Treasure Data or similar platforms is a plus.
Strong understanding of experimentation, model validation, and measuring impact using both statistical and business metrics.
Ability to clearly communicate technical concepts and insights to non-technical stakeholders.
Curiosity and ownership mindset, with a strong bias toward building models that are used and deliver measurable outcomes.

Skills

Python
Data Science
Machine Learning
Predictive Modeling
Feature Engineering
Model Evaluation
Customer Data Platform (CDP)
Treasure Data

Location

Ontario, Canada

Work Type

Hybrid
Work from anywhere for up to 8 weeks per year

Experience Level

Lead
5+ years

Salary/Compensations

$140,600 CAD - $190,600 CAD

Benefits

Flexible hybrid working environment
Flex My Way policies
Work from anywhere for up to 8 weeks per year
Career Development and Growth opportunities
Grow My Way programming
Flexible vacation
Two company-wide Mental Health Days off
Access to the Headspace app
Retirement savings
Tuition reimbursement
Employee incentive programs
Resources for mental, physical, and financial wellbeing
Two paid volunteer days off annually
Opportunities to get involved with pro-bono consulting projects and ESG initiatives

About the Company

Thomson Reuters informs the way forward by bringing together trusted content and technology that people and organizations need to make the right decisions.
We serve professionals across legal, tax, accounting, compliance, government, and media.
Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency.
Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news.
We are powered by the talents of 26,000 employees across more than 70 countries, where everyone has a chance to contribute and grow professionally in flexible work environments.
At a time when objectivity, accuracy, fairness, and transparency are under attack, we consider it our duty to pursue them.
Join us and help shape the industries that move society forward.

Equal Opportunity

As a global business, we rely on the unique backgrounds, perspectives, and experiences of all employees to deliver on our business goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law.
Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug-free workplace.
We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.