Data Scientist - Applied AI; Go-To-Market

This is a Fixed-Term Contract (FTC) for a duration of 12 months.

We are seeking a skilled Data Scientist to join our GTM Applied AI team to develop, deploy, and maintain our GTM and Pricing models. You will collaborate closely with our pricing and monetization squad and team of software developers, data analysts, and ML engineers to develop, deploy, and maintain innovative AI/ML models s role offers the opportunity to collaborate broadly across the business, including with our Commercial, Digital Sales, and Applied AI teams, in both B2B and B2C contexts.

To succeed in this role, you should have proven experience in developing and deploying AI/ML models to enhance commercial practices. You have a solid technical background, hands‑on ability in all stages of data preparation, exploration, and modeling. You must have an adaptable commercial mindset and knowledge of the interface between data science and engineering. The ability to develop AI/ML solutions, engage stakeholders, and clearly articulate the impact of your work is necessary.

Experience putting solutions into production within an interdisciplinary team is a big plus, and it will be ideal if you also have experience using AI and ML to solve pricing and revenue management problems.

• You will be involved in delivering some of our most exciting Data Science projects aimed at improving our GTM efficiency and pricing practices: from prediction to ranking, segmentation to NLP, and recommendation systems to content generation.
• 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 pricing and monetization opportunities based on data, interpreting model outcomes, and share insights to drive the direction of our business goals.
• You will engage with both technical and non‑technical stakeholders and translate business requirements into Data Science deliverables.
• The opportunity to work with leading data engineering technologies, including Google Vertex AI tools, Google Big Query, Big Query Pipelines, and Airflow, with leading Data Science tools and emerging technologies for model building and deployment.
• Opportunities to develop your career in a friendly, diverse, innovative, international team and workplace.

• Experience with analytical and quantitative problem solving using advanced statistical techniques and machine learning methods, e.g. Attribution, Segmentation, Churn, Upgrade, Upsell, Pricing Optimisation, and LTV.
• Experience in building and deploying production‑ready ML models, and solid data engineering skills (e.g. experience with cloud technologies - we use GCP, but experience with AWS is also relevant).
• Ability in Python and SQL for data manipulation, modelling, and scripting.
• You have experience working with large datasets. Knowledge of the data generated by websites or in the e‑commerce sector, behavioural analytics, and experience working with data from commercial systems (e.g. Salesforce) is advantageous.
• Knowledge of data pipelining and prior experience with cloud‑based ML model deployments are beneficial.
• Great communication skills - both with technical colleagues and with business stakeholders.
• Proven technical experience in a Data Science role, particularly in the technology sector or in a technical consultancy.

• 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…