Data Science Manager (Applied AI)

JobsCloseBy Editorial Insights

Trustpilot is seeking a Data Science Manager for Applied AI in Edinburgh, onsite, to line-manage a small team of Data Scientists and own end-to-end ML delivery across product contexts. You will balance hands-on execution with leadership, guiding NLP, topic modelling, classification and generative AI initiatives from concept to production, while partnering with product management, UX, data analytics and engineering and collaborating with the MLOps team to standardize deployment and maintenance. Prioritization will span product innovation, maintenance, research and foundational work, in alignment with multiple product teams and the Applied AI COE. To apply, highlight a proven track record leading applied AI teams, delivering production-ready models at scale, strong stakeholder management, and measurable business impact, plus Python/R/SQL, cloud, Airflow and data engineering skills, and a commitment to inclusive, high-performing teams.

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 reviews to user behaviours to internal systems, at Trustpilot we truly have big data. And, in our Applied AI team, we are leveraging AI and ML to transform data into value, drive product innovation, improve user experience, enrich Trustpilot's data ecosystem and enhance business growth. We are seeking a Data Science Manager to join our Applied AI team, to help us in our mission.  

We are seeking a candidate with a proven track record in managing and developing a team of Data Scientists specializing in Applied AI, across junior, mid-level, and senior roles. The ideal candidate will also possess hands-on experience throughout the entire ML modeling lifecycle, from initial concept to production deployment. You will collaborate with cross-functional teams in product management, UX, data analytics, and engineering across various product contexts. This role involves managing the delivery and maintenance of highly impactful, innovative AI/ML solutions at scale.

To effectively fulfil this role, you will have an extensive technical background and several years of experience as a Data Scientist / Applied AI Scientist before transitioning into the leadership track. You are a lifelong learner — across technology, leadership, and ways of working — and you stay up to date with industry standards and best practices. You believe that diversity in teams leads to improved collaboration and promotes a culture of continuous feedback and learning.

What you’ll be doing:

• You will line manage a small team of Data Scientists 
• Manage the delivery of multiple Applied AI projects and balance delivery with Applied AI best practices and standardization
• Collaborate closely with cross-functional teams including product management, UX, data analytics, engineering, across multiple product contexts
• You are able to engage effectively with both technical and non-technical stakeholders, translating product/business requirements into Applied AI deliverables, and occasionally contribute to hands-on delivery
• Prioritize 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
• Using your existing knowledge of NLP, topic modelling, recommendation, classification and generative AI, you will identify opportunities to improve our existing AI models
• Leveraging your extensive experience in model deployment and maintenance, and collaborating with the MLOps team to identify opportunities for improvements in deployment practices, standardize processes, and minimize 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 in working with large datasets from tech platforms, e-commerce, or SaaS products. Experience in use of behavioral 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 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 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

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.

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