Mid-level Data Scientist - Applied AI team - London

Trustpilot
London
Mid-level Data Scientist – Applied AI team - London

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.

We are seeking Data Scientists to join our Applied AI team across B2B, B2C and our brand new Data Products 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, conversational experiences and personalization. You’ll also demonstrate a strong understanding of user behaviour data and how to use it to influence product development. A product mindset and ability to work cross-functionally are essential.

What you’ll be doing:

  • 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.

Who you are:

  • 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 BigQuery, 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.

What's in it for you?

  • 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 table tennis, a gaming corner, coffee bars and 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 activities, and team socials.
  • Access to over 4,000 deals and discounts on things like travel, electronics, fashion, fitness, cinema discounts, and more
  • Independent financial advice and free standard professional mortgage broker advice
  • Talent acceleration programs: Fast-track your career with our tailored development programs designed to support growth at whatever stage of your career

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.

Join us at the heart of trust.

Trustpilot is committed to creating an inclusive environment where people from all backgrounds can thrive and where different viewpoints and experiences are valued and respected. Trustpilot will consider all applications for employment without regard to race, ethnicity, national origin, religious beliefs, gender identity or expression, sexual orientation, neurodiversity, disability, age, parental or veteran status. Together, we are the heart of trust.

Trustpilot is a global company and our data practices are designed to ensure that your personally identifiable information is appropriately protected. Please note that your personal information will be transferred, accessed, and stored globally as necessary for the uses and disclosures stated in our Privacy Policy.

Posted 2025-09-10

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