Data Scientist - Audiobooks Analytics
About this role
Partner with Editorial, Personalization, Product, Finance, and Business teams to improve title selection, recommendation quality, and the listener experience. Design and analyze experiments, including A/B tests and quasi-experiments, to measure the impact of product and go-to-market initiatives. Monitor the health of the audiobooks business, identify emerging opportunities or risks, and translate them into clear recommendations. Develop reliable analytical datasets, tools, and reporting that make important insights accessible and repeatable. Work with analytics engineering and data partners to improve data quality and create scalable ways of working. Present findings and recommendations to senior leaders, influencing the direction of our product and business. You have 3+ years of professional experience in data science or analytics, ideally in consumer technology, media, subscriptions, marketplaces, or a similarly complex business. You are fluent in SQL and proficient in Python, R, or another programming language, with a strong grasp of statistical methods, experimentation, and causal inference. You combine analytical rigor with strong business judgment and can cleanly extract the “so what” from complex analysis. You are comfortable working through ambiguous problems, structuring open-ended questions, and identifying a practical path forward. You enjoy collaborating with a wide range of cross-functional partners and can build trust across technical and non-technical teams. You are an excellent communicator who can present complex findings clearly to senior leaders and audiences with different levels of technical knowledge. You have a degree in Economics, Mathematics, Statistics, Computer Science, Engineering, or a related quantitative field, or equivalent practical experience. Experience with product analytics, recommendation systems, content businesses, or digital marketplaces is a plus. This role is based in London. We offer flexibility to work where you work best. There will be some in-person meetings, while still allowing flexibility to work from home.
What this role is, and what else it is called
Employers in London advertise this kind of work as Data Analyst, Senior Data Engineer, Data Engineer and Data Scientist too, so it is worth searching more than one wording. It is a mid-level Data, AI & Machine Learning role in London, advertised as hybrid, splitting time between home and the office.
About hiring at Lifeatspotify
Lifeatspotify has 14 other live technology roles on its careers page, across Software Engineering, Data, AI & Machine Learning and IT Leadership & Management. Of those, 33% are advertised as fully remote and 67% as hybrid. Elsewhere in its adverts Lifeatspotify asks for Machine Learning, PyTorch, TypeScript, React and Java. See all Lifeatspotify roles, salaries and stack.
How this role compares to the market
1,969 live UK roles list Python right now, from 583 employers. The median advertised salary is £80,000; 30% are advertised as remote. Browse Python roles.
1,145 live UK roles list SQL right now, from 480 employers. The median advertised salary is £60,000; 26% are advertised as remote. Browse SQL roles.
London has 4,323 live IT vacancies across 1,366 employers, with a median advertised salary of £70,000. Browse London roles.
Market figures are today's snapshot of live UK roles on employer careers pages; see hiring trends.
Technologies mentioned
Detected on Lifeatspotify's careers page. ProdReady Recruitment lists this vacancy as an aggregator and is not the employer; applications go to the employer's own site. More IT jobs in London.