Senior Data Scientist; Applied AI

About the role

At Trustpilot, we are 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 is still so much exciting work to do. Come join us at the heart of trust! From reviews to user behaviours to internal systems, we truly have big data.

Within our B2B Applied AI team, we’re focused on leveraging AI and ML to transform data into value and create engaging product features to improve the experience of our users. That means you can empower product innovation to help our businesses build Trust, Growth, and Improve with Trustpilot. We are seeking a Senior Data Scientist to join our Applied AI team to develop intelligent, data‑driven product features and foundational models that serve our products.

You will collaborate closely with a cross‑functional team of software developers, product managers, designers, data analytics, and ML engineers to develop, deploy, and maintain innovative AI/ML models  will have the opportunity to collaborate widely across the business including our Commercial, Digital Sales, and Data Science teams within B2C, Trust, and GTM contexts.

• You will be involved in delivering some of our most exciting Data Science projects aimed at improving our B2B SaaS product and Consumer website: from prediction to ranking, natural language processing to search, and recommendation systems to content generation and personalisation.
• Great opportunity to make a real product impact by applying the state of the art in AI and ML.
• You will deliver the Data Science component of key strategic initiatives including owning, maintaining and deploying production‑ready ML/AI models, and analysing data to establish the scope and impact of your work.
• You will identify new product opportunities based on data, interpreting model outcomes and sharing insights to drive the direction of our Data Science work.
• You will engage with both technical and non‑technical stakeholders & translate product requirements into Data Science deliverables.
• The opportunity to work with leading AI/ML model development and deployment tooling including GCP Vertex AI, GCP Big Query, Airflow.
• Opportunities to work in a friendly, diverse, innovative, international team and workplace.

• Prior knowledge of NLP and Generative AI is a must.
• Proven experience in developing and deploying AI/ML models. You’ll have a solid technical background, with hands‑on ability in all stages of data preparation, exploration, modelling and deployment.
• You have an adaptable product mindset and knowledge of the interface between data science and engineering.
• The ability to engage stakeholders, clearly articulating the impact and reasons behind your work, in both a business and technical capacity.
• Experience with analytical and quantitative problem solving using advanced statistical techniques, machine learning and generative AI methods, e.g. sentiment and topic modelling, recommendation systems, content generation, forecasting & trend analysis.
• Experience in building and deploying production‑ready ML models at scale, and solid data engineering skills (e.g. experience with GCP).
• Proven ability to deliver technical projects to a commercial organisation.
• Ability in Python and SQL for data manipulation, modelling and scripting.
• Experience in working with large datasets, ideally from tech platforms, e‑commerce, or SaaS‑type businesses. Experience in use of behavioural data to develop data‑driven product features is a big plus.
• Proven technical experience in a Data Science role, preferably in the technology sector or in a technical consultancy.
• A minimum BA/BSc degree in Statistics, Mathematics, Physics, Computer Science or related quantitative degree. Masters/PhD is preferred.

• 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…