Mid-level Data Scientist – Applied AI team

Mid-level Data Scientist – Applied AI team

Join to apply for the Mid-level Data Scientist – Applied AI team role at Trustpilot

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 independent consumer 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! From millions of reviews to rich user interaction data, we have a vast amount of behavioral and content data that powers our consumer platform.

In the Applied AI team, we’re focused on leveraging AI and ML to improve how people discover, interact with, and trust businesses on Trustpilot.

• Great opportunity to make a real product impact by applying the state of the art in AI and ML.
• Work on some of our most exciting Data Science initiatives aimed at improving the Trustpilot consumer experience: from ranking and recommendations to natural language processing and search.
• Build, deploy, and maintain production‑ready ML models that directly power features used by millions of users.
• Collaborate closely with engineers, product managers, and designers to develop user‑facing features informed by ML and experimentation.
• Use data and model insights to identify new opportunities for personalization and discovery across our platform.
• Take ownership of specific ML features or components and drive them from concept to production and iteration.
• Work with leading tools such as GCP Vertex AI, Big Query, Airflow, and emerging ML technologies.
• Be a part of a friendly, diverse, innovative, international team and workplace that encourages learning and growth.

• Experience working in a Data Science or Machine Learning role, ideally on consumer‑facing products like search, ranking, recommendations, personalization, or discovery.
• Strong hands‑on ability with ML modeling, including semantic search, ranking algorithms, clustering, recommendation systems, and natural language processing (NLP), with a track record of deploying models to production.
• Strong skills in data analysis, statistical modeling, and computational problem‑solving; ideally with a background in a quantitative field such as Statistics, Mathematics, Physics, or Computer Science.
• Comfortable working with large‑scale data and behavioral/user interaction data, and using it to build impactful, data‑driven product features.
• Proficient in Python and SQL, and confident working across the full ML lifecycle from exploration to deployment.
• Experience with cloud platforms like GCP (preferred), AWS, or Azure, and tools such as Big Query, Vertex AI, and Airflow.
• Familiarity with ML production tooling and infrastructure, including CI/CD workflows.
• Comfortable using metrics to monitor, iterate, and improve model performance.
• Excellent communication skills — able to engage clearly and effectively with both technical teams and business stakeholders.
• Collaborative and agile— experienced in working closely with Product Managers, UX Designers, and Engineers within cross‑functional teams to create impactful solutions.
• You take ownership, move quickly, and are driven to solve real user problems with scalable, measurable, and maintainable solutions.

• A range of flexible working options to dedicate time to what matters to you.
• Competitive compensation package + bonus.
• 25 days holiday per year, increasing to 28 days after 2 years of employment.
• Two (paid) volunteering days a year to spend your time giving back to the causes that matter to you and your community.
• Rich learning and development opportunities are supported through the Trustpilot Academy and Blinkist.
• Pension and life insurance.
• Health cash plan, online GP, 24/7 Employee Assistance Plan.
• Full access to Headspace, a popular mindfulness app to promote positive mental health.
• Paid parental leave.
• Season ticket loan and a cycle‑to‑work scheme.
• Central office location complete with all the snacks and refreshments you can ask for.
• Regular opportunities to connect and get to know your fellow Trusties, including company‑wide celebrations and events, ERG…