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

June 21

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501 - 1000

💰 $55M Series E on 2019-03

Description

• 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.

Requirements

• 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.

Benefits

• A range of flexible working options to dedicate time to what matters to you • Competitive compensation package + bonus • 28 days holiday plus 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 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