Senior Data Scientist (Applied AI)

Trustpilot
Edinburgh
3 weeks ago
Create job alert
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 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 & 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, 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.

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 Trustpilot

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.


Equal Opportunity Statement

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 () quoting the role you wish to apply for. Any offer of employment for this position will be subject to our standard background checks.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.