Data Science Manager (Applied AI)

What You’ll Be Doing

• You will line‑manage a small team of Data Scientists.
• Manage the delivery of multiple Applied AI projects, balancing delivery with best practices and standardisation.
• Collaborate closely with cross‑functional teams including product management, UX, data analytics and engineering across multiple product contexts.
• Translate product and business requirements into Applied AI deliverables, and occasionally contribute to hands‑on delivery.
• Prioritise and shape Applied AI (AAI) deliverables across product innovation, maintenance, research and foundational efforts, considering the roadmaps and needs of multiple product teams, the Applied AI Center of Excellence (COE), and DataOps/MLOps requirements and efforts.
• Use your knowledge of NLP, topic modelling, recommendation, classification and generative AI to identify opportunities to improve our existing AI models.
• Leverage your extensive experience in model deployment and maintenance, and collaborate with the MLOps team to identify opportunities for improvements in deployment practices, standardise processes and minimise the manual effort associated with model maintenance.
• Promote a culture of collaboration, accountability, technical excellence, innovation and high performance.
• Attract, engage and retain Applied AI Scientists, supporting their growth.
• Ensure teams have high technical proficiency and aim for quality.
• Manage and mitigate high‑risk elements of major initiatives, ensuring alignment and transparency with cross‑functional stakeholders.
• Enable other functions to perform at their best through effective, enduring partnerships.

Who You Are

• Extensive experience as a Data Scientist / Applied AI Scientist before transitioning into the leadership track in the technology sector or in a technical consultancy.
• Solid experience in leading a team of Data Scientists, prioritising work, setting objectives, and personal development in the technology sector or in a technical consultancy.
• Ability to use data and metrics to inform decisions, effect change, and align Applied AI efforts with business/product goals.
• Extensive stakeholder management experience with a focus on working with the wider business and the ability to create alignment across teams.
• Great communication skills – both with technical and non‑technical stakeholders.
• An aspiration to contribute to the future of Trustpilot, and the ability to make crucial technical decisions in a pragmatic way.
• Experience with analytical and quantitative problem solving using advanced statistical techniques, ML and generative AI methods for online content, e.g. sentiment from text, sequence analysis, forecasting and trend analysis.
• Experience in building and deploying reproducible, production‑ready AI/ML models at scale, coupled with solid data engineering skills.
• Prior knowledge of NLP and Generative AI is essential.
• Experience with large datasets from tech platforms, e‑commerce or SaaS products, and use of behavioural data and AI/ML methods to develop intelligent data‑driven product features.
• Experience in Python, R & SQL for data manipulation, modelling and scripting.
• Experience with cloud services, such as AWS or Google Cloud for scalable AI/ML development and deployment, and knowledge of data pipelining (e.g. via Airflow).
• A minimum BA/BSc degree in Statistics, Mathematics, Physics, Computer Science or related quantitative degree. Masters/PhD.

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 give back to the causes that matter to you and your community.
• Rich learning and development opportunities 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 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 travel, electronics, fashion, fitness, cinema and more.

About Us

Trustpilot began in 2007 with a simple yet powerful idea that is more relevant today than ever: to become 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 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.

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.