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 B2C Applied AI team, we’re focused on leveraging AI and ML to improve how people discover, interact with, and trust businesses on Trustpilot.
We are seeking a Data Scientist to join our B2C Applied AI team to build intelligent, data-driven product features that improve user experience and deliver business impact. You will collaborate closely with a cross-functional team of engineers, product managers, designers, data analysts, and ML engineers to develop and maintain impactful AI/ML models at scale.
To succeed in this role, you’ll bring hands-on experience developing and deploying machine learning solutions, especially in areas such as ranking, search, recommendations, and personalization. You’ll also demonstrate a strong understanding of user behavior data and how to use it to influence product development. A product mindset and ability to work cross-functionally are essential.

STILL NOT SURE?

We are Open to All, which means we want everyone to feel like they can see themselves at Trustpilot. We’re keen to hear about your experiences as well as how you can help to create a fantastic culture for our amazing Trusties. So, don’t worry if you’re looking at this job description and feel like you don’t meet all the requirements, we’d still really like to hear from you!

ABOUT US

Trustpilot began in 2007 with a simple yet powerful idea that is more relevant today than ever — to be the universal symbol of trust, bringing consumers and businesses together through reviews. Trustpilot is open, independent, and impartial — we help consumers make the right choices and businesses to build trust, grow and improve.
Today, we have more than 300 million reviews and 64 million monthly active users on average across the globe, with 140 billion annual Trustbox impressions, and the numbers keep growing. We have more than 1,000 employees and we’re headquartered in Copenhagen, with operations in Amsterdam, Denver, Edinburgh, Hamburg, London, Melbourne, Milan and New York.
We’re driven by connection. It’s at the heart of what we do. Our culture keeps things fresh –– it’s built on the relationships we create. We talk, we laugh, we collaborate and we respect each other. We work across borders and cultures to be the universal symbol of trust in an ever-changing world. With vibrant office locations worldwide and over 50 nationalities, we’re proud to be an equal opportunity workplace with diverse perspectives and ideas.
Our purpose to help people and businesses help each other is a tall order, but we keep it real. We’re a great bunch of humans, doing awesome stuff, without fuss or pretense. A successful Trustpilot future is driven by you –– we give you the autonomy to shape a career you can be proud of. If you’re ready to grow, let’s go.

• 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, BigQuery, Airflow, and emerging ML technologies.
• Be a part of a friendly, diverse, innovative, international team and workplace that encourages learning and growth.