Mid-level Data Scientist – Applied AI team

Overview

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

We are seeking Data Scientists to join our Applied AI team across our brand new B2B Data Product, 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  succeed in this role, you’ll bring hands-on experience developing and deploying machine learning solutions, especially in areas such as ranking, search, recommendations, conversational experiences and personalization.

A product mindset and ability to work cross-functionally are essential.

• Great opportunity to make a real product impact by applying the state of the art in AI and ML.
• Work on 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 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 mindfulness app to promote positive mental health
• Paid parental leave
• Season ticket loan and a cycle-to-work scheme
• Central office location with amenities for staff
• Regular opportunities to connect with Trusties through events and team socials
• Access to deals and discounts
• Independent financial advice and…