Data Science Manager

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! We’re a leading online reviews platform, free and open to all. Our mission is to be a universal symbol of trust. We are well on our way - but there’s still an exciting journey ahead of us. Do you want to join us? A core value proposition of Trustpilot is Trust. We work hard to ensure that our platform has real content from real people with real experiences. That means eliminating fraudulent reviews and sanctioning suspect behavior to keep our platform authentic. Our Trust Technology team aims to be an established name in the use of advanced technology to safeguard the integrity of online reviews. The Trust teams are composed of both Engineering and Data Science functions, where both are integral to achieving our goals. We are looking for a skilled Data Science Manager to join the Trust team in our mission. You will lead two teams of passionate and dedicated professionals, including Data Scientists who research Trust-specific problems and design ML solutions for them, and Engineers who build and maintain scalable infrastructure to turn detections into outcomes. You and your team will work within a focus area to develop, deploy, and maintain innovative technology at scale, alongside a cross-functional team of product managers, ML engineers, and designers. You will have the opportunity to collaborate widely across the business including with those in our Legal, Platform Engineering, and Data Science teams within Consumer, B2B, and Commercial. To thrive in this role, you bring a background in building and scaling complex systems with machine learning at their core. You are a seasoned Data Scientist who enjoys remaining hands-on across the end-to-end lifecycle—from initial concept to production delivery. Bridging data science and engineering comes naturally to you, supported by an adaptable, curious mindset. While not required, prior exposure to fraud detection or online platform integrity is a great plus. What You’ll Be Doing Team Leadership & Execution : Lead and empower two cross-functional teams of Data Scientists and Engineers dedicated to automated content moderation and fake review detection. Foster technical excellence, support career progression, and champion a transparent, accountable, and safe work environment. Delivery & Research Ownership : Own delivery across key initiatives, balancing ambitious ML research goals with sustainable engineering practices, operational resilience, and Trust OKRs. Planning & Scoping : Facilitate technical scoping, estimation, and deliverable prioritization in close collaboration with product and cross-functional partners. Stakeholder & Talent Management : Partner with Trust Tech leadership to engage, develop, and retain talent while managing clear communication of issues, risks, dependencies, and progress with stakeholders. Who You Are Domain Expertise : Experienced in complex technical domains (such as fraud detection, healthcare ML, computer vision, autonomous systems, or large-scale LLM deployment), with a natural curiosity to immerse yourself in our domain. System Architecture & Design : Proven track record delivering scalable systems with multiple connected services, incorporating ML/AI components from concept through to production. Cloud & Real-Time ML Systems : Practical experience with high-volume live inference and cloud-based ML training/deep learning on large-scale datasets, particularly within GCP. Advanced Modeling & Precision Optimization : Practical experience training production models with mixed-quality labels and optimizing systems for low false-positive tolerance, paired with applied knowledge of graphs and graph-based machine learning (a significant…