About this role
Salary: £71,000 - 99,000 per year
Requirements: Independent, curious, and motivated, with an interest in discussing ideas and contributing new perspectivesTeam player who enjoys learningStrong communication skills with technical and non-technical partnersAble to deliver work on time and to specificationGenuine interest in AI, including hands-on exploration of AI tools and enthusiasm for developing skills in this areaPhD or masters degree in Computer Science, Engineering, Statistics, or a related field preferred; alternatively, a masters degree with 2+ years of practical experienceKnowledge of A/B test design and analysisStrong background in machine learning and statisticsSolid foundation in data structures and algorithmsProficiency in Python for numerical and statistical programming, including tools such as NumPy, Pandas, and Scikit-learnAbility to interpret and write complex SQL queriesExperience with big data technologies such as Hive and SparkTrack record of leading the deployment and maintenance of modelsHands-on experience with AI-powered tools Responsibilities: Apply machine learning models to core business problems across marketingIdentify opportunities to apply data science and machine learning across marketing channels, including paid, organic, search, demand creation, affiliates, and CRMAutomate ETL pipelinesPrototype, evaluate, deploy, and maintain machine learning models in productionDesign A/B tests and analyze their resultsFind new ways to analyze and interpret dataCommunicate project progress and interpretations of experimental results to technical and business stakeholdersTake ownership of projects and identify new business opportunities and problems where machine learning could help Technologies: AIBig DataCRMETLHiveSupportMachine LearningMarketingPythonSQLSparknumpypandas More:
We are the Tripadvisor Group, connecting people to experiences worth sharing and working to be the worlds most trusted source for travel and experiences. Our brands, technology, and capabilities connect a global audience with partners through rich content, travel guidance, and marketplaces across experiences, accommodations, restaurants, and other travel categories. Our portfolio includes Tripadvisor, Viator, and TheFork. In this ML II Scientist role, you will join our dynamic, fast-paced Machine Learning Team and support our marketing efforts, applying modeling to areas such as online advertising bids, customer modeling, experimental design, revenue optimization, attribution, recommendations, and lifetime value. You will work with modern development tools and large datasets, deploy solutions online, and observe their impact in real time. Our systems influence the travel decisions of millions of people each day. You will collaborate with data scientists, analysts, software engineers, and product managers in a diverse, multidisciplinary environment. We support personal development through social activities, journal clubs, online learning resources, and participation in industry conferences. We strive to provide an accessible and inclusive candidate experience and can arrange reasonable accommodations during the application and recruiting process. The posting indicates a hybrid role.
last updated 40 week of 2026