Job Opportunities API

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! A core value proposition of Trustpilot is Trust. We work hard to ensure that our platform has genuine content from real people with real experiences. That means eliminating fake reviews and acting on signs of suspicious behavior to protect our platform from fraudulent activity. Our Trust Applied AI team’s mission is to use advanced modeling to safeguard the integrity of online reviews, and we have several cross-functional teams devoted to Trust where Applied AI is integral to achieving our goals.   We are looking for a Data Scientist to join our Trust team. You and your team will work to develop, deploy, and maintain innovative models at scale, alongside a cross-functional team of software developers, product managers, ML engineers, and designers. You will have the opportunity to collaborate widely across the business with our Technology and Product teams. You will also work closely with stakeholders in Legal and Platform Integrity. To succeed in this role, you should have proven experience in developing and deploying ML models, ideally using graph data. You need a strong technical foundation and hands-on experience in all stages of data preparation, exploration, and modeling. An adaptable mindset and understanding of the interface between Applied AI and engineering are essential as you will be working in cross-disciplinary teams. Experience with deploying solutions into production is expected, as you will be responsible for implementing end-to-end solutions—from data preprocessing to serving predictions.   What you will do: Be hands-on in delivering the Applied AI / Data Science component of key strategic projects in Trust, from building and fine-tuning language models to sequence modeling, graph-based models, etc. Develop, maintain, and deploy production-ready ML models, with tooling support from ML engineers Engage with both technical and non-technical stakeholders and contribute to the Trust roadmap Seize the chance to meaningfully influence our business through the latest advancements in Applied AI and keep Trustpilot on the edge of innovation when it comes to fake review detection The opportunity to work with market-standard data engineering and deployment technologies including Google Agent Platform tools and Google BigQuery, and with leading Data Science tools and emerging technologies for model building and deployment Opportunities to develop your career in a friendly, diverse, international team and workplace   Who you are: Experience with analytical and quantitative problem-solving using advanced statistical techniques and machine learning methods. Particularly relevant experience: high-precision classification focus, graph neural networks, graph algorithms used within machine learning, fine tuning of large language models, working with large label sets with varying label quality, and adversarial machine learning. Experience in building and deploying production-ready ML models at scale, and solid data engineering skills, ideally in GCP Ability in Python and SQL for data manipulation, modeling, and scripting Experience in working with large datasets, ideally from tech platforms, e-commerce, or SaaS-type businesses. Knowledge of behavioral data, detecting misbehavior and/or fraud at scale is a big plus Knowledge of data pipelining and prior experience with cloud-based ML model deployments Great communication skills - both with technical colleagues and with business stakeholders  2-3 years or more of technical experience in a Data Science role, preferably in the technology sector or in a technical consultancy   W