Drive AI adoption and customer growth as a Lead Data Scientist at Thomson Reuters. This hybrid role focuses on building predictive models that enable actionable customer insights. In this pivotal position with Thomson Reuters, you will lead data science efforts by developing predictive models like propensity-to-upgrade for AI-driven legal solutions.

Collaborating with Lifecycle Marketing and Customer Success, you'll ensure model outputs are integrated into the Customer Data Platform (Treasure Data) for effective use. Your work will enhance customer insight and support strategic decision-making processes. Key Responsibilities:

- Design and maintain predictive customer expansion models
- Utilize behavioral and firmographic data for insights




- Translate models into actionable segments with Marketing
- Collaborate with teams for model operationalization
- Validate model performance and improve accuracy Requirements:
- 5+ years in data science or applied machine learning
- Proficiency in Python and predictive modeling
- Experience with complex datasets and analytics platforms
- Solid communication skills with non-technical stakeholders
- Curiosity-driven mindset for measurable outcomes Own the responsibility for delivering impactful solutions in AI at Thomson Reuters.

📌 Lead Data Scientist at Thomson Reuters (Toronto)
🏢 Thomson Reuters
📍 Toronto