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. Within our B2B Applied AI team, we're focused on leveraging AI and ML to transform data into value and create engaging products 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 at scale. You 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.
What you'll be doing:
- 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 & will 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 BigQuery, Airflow.
- Opportunities to work in a friendly, diverse, innovative, international team and workplace
Who you are:
- 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, modeling 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 modeling, 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.
- Experience in building and deploying ML models at scale (ideally to support online services), and strong data engineering skills
- Ability in Python and SQL for data manipulation, modeling and scripting.
- Experience in working with large datasets, ideally from tech platforms, e-commerce, or SaaS-type businesses. Experience in use of behavioral 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
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.
If you have a disability and would like to discuss any adjustments you might need either in submitting your application, or to the recruitment process more generally, please let us know by contacting our Talent Acquisition Team ([email protected]) quoting the role you wish to apply for.
Any offer of employment for this position will be subject to our standard background checks.