Position: Data Scientist Reporting to: Data Science Manager Hybrid role: 3 days a week from our London office & 2 days working from home Full/Part time: Full time We're a leading global online delivery platform, and our vision is to empower everyday convenience. Whether it's a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe. As a Data Scientist on the Estimations team , you will help build the predictive engine that powers our global delivery network — developing the machine learning models that predict Estimated Time of Arrivals (ETAs), considering factors like courier-finding, drive times, preparation times, rejections, and delays. Your mission is to apply practical knowledge to build, validate, and maintain ML models that predict logistics outcomes with accuracy and reliability. You will collaborate closely with Senior Data Scientists, Backend Engineers, and Machine Learning Engineers, transforming stakeholder needs into actionable methodologies. Model Development & Assessment: Lead well-defined assignments to develop and maintain machine learning models (regression, classification, clustering). Data Analysis & Engineering: Use SQL and Python to acquire, transform, and clean large-scale data sets. Apply appropriate techniques for outliers, missing values, and exploratory data analysis to create data structures relevant to logistics problems. Assist in presenting these to stakeholders in easy-to-understand language, using data visualisation where appropriate. participate in cross-functional projects, building business acumen and domain knowledge from collaborating colleagues. Suggest project timelines and help set expectations for deliverables. Practical, hands-on experience building and validating ML models — comfortable working independently under general supervision, while knowing when to seek guidance from more senior colleagues.Familiarity with statistical and machine learning techniques (classification, regression, clustering, decision trees) and how to select the right one for a given problem. Intermediate-to-advanced proficiency in Python (pandas, scikit-learn) and SQL; Ability to perform data cleaning (de-duplication, standardisation) and exploratory data analysis; awareness of data security, compliance, and quality assessment. Familiarity with version control (Git), testing, and basic data pipelines. Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. It's a competition for something incredibly valuable – our customers' choice.
Marketing Data Scientist Arbeitgeber: Lieferando
Just Eat Takeaway ist ein hervorragender Arbeitgeber, der seinen Mitarbeitern in Berlin ein dynamisches und unterstützendes Arbeitsumfeld bietet. Mit einem wettbewerbsfähigen Vergütungspaket, flexiblen Weiterbildungsmöglichkeiten und einer offenen Feedbackkultur fördert das Unternehmen nicht nur die persönliche Entwicklung, sondern auch die Zusammenarbeit in einem vielfältigen Team aus über 99 Nationen. Zudem engagiert sich Just Eat Takeaway für Nachhaltigkeit und bietet zahlreiche Vorteile wie eine Urban Sports Club-Mitgliedschaft und ein Firmenwagen, der auch privat genutzt werden kann.
