Data Scientist, Customer & Growth Analytics

About the Role Thomson Reuters Legal is seeking a Data Scientist to help power data-driven growth and adoption of our AI-enabled legal solutions. In this role, you will design, build, and maintain predictive models—including propensity-to-upgrade models—that identify customers most likely to expand into AI products such as CoCounsel. You will work closely with Lifecycle Marketing, Marketing Operations, and Customer Success to ensure insights and models are not only accurate, but actionable—embedded directly into our Customer Data Platform (Treasure Data) and downstream activation workflows. This is a highly collaborative, hands-on role focused on production-ready models that drive experimentation, pipeline development, and measurable customer value. About You 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. Your Experience 3 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. #LI-GK1​ What’s in it For You? Hybrid Work Model: We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected. Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance. Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and ... (truncated, view full listing at source)