Data Scientist - Go-to-Market (GTM) Applied AI team

From reviews to user behaviors to internal systems, at Trustpilot, we truly have big data. Every month, more than half a million new reviews are posted on Trustpilot for thousands of businesses. We have now reached 267 million reviews - and that is growing! - from consumers around the world. Our Data Scientists in the GTM Applied AI team leverage this data to build AI/ML models that improve our go-to-market (GTM) efficiency and enhance our pricing and revenue management strategy.

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 analytics and ML engineers to develop, deploy, and maintain innovative AI/ML models at scale. You will be part of a unique journey where data, AI, and ML are at the heart of our product and company strategy. This 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, with 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 for this role. 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.

What you’ll be doing:

• 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.
• This is a great opportunity to make a real business 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 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 & will translate business requirements into Data Science deliverables.
• The opportunity to work with leading data engineering technologies including Google Vertex AI tools, Google BigQuery, and AWS, and 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.

Who you are:

• Experience with analytical and quantitative problem solving using advanced statistical techniques and machine learning methods, e.g. Attribution, Segmentation, Churn, Upgrade, Upsell, and Pricing & Packaging.
• 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 will also be fine).
• Ability in Python and SQL for data manipulation, modeling, and scripting.
• You have experience of working with large datasets. Knowledge of the data generated by websites or in the eCommerce sector, behavioral analytics, and experience working with data from commercial systems (e.g. Salesforce) is advantageous.
• Knowledge of data pipelining and prior experience of cloud-based ML model deployments is 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.

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 continuous 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, LinkedIn Learning, 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.

Still not sure?

We want to be a part of creating a more diverse, equitable, and inclusive world of work for all. We’re excited to hear about your experiences as well as how you will contribute to our working culture. So, even if you don’t feel you don't meet all the requirements, we'd still really like to hear from you!