{"id":2786800,"url":"https://alion.io/job/just-eat-takeaway-com-data-scientist","title":"Data Scientist","company":{"id":54498,"name":"Just Eat Takeaway.com","domain":"justeattakeaway.com","url":"https://alion.io/company/just-eat-takeaway-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Berlin, Germany"],"countries":["DE"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":62000,"max_usd":124000,"period":"year","method":"role_country_seniority_unknown","sample_n":59},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-16T00:00:00Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-17T19:47:31Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Position: Data Scientist\nDepartment: Estimations\nReporting to: Data Science Manager\nLocation: Berlin\nHybrid role: 3 days a week from our London office & 2 days working from home\nFull/Part time: Full time\nReady for a challenge?\nThen Just Eat Takeaway.com might be the place for you. We're a leading global online delivery platform, and our vision is to empower everyday convenience.\nWhether 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.\nAbout this role\nAs 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. As a developing professional, you will work independently with general supervision while actively seeking guidance to grow your technical and stakeholder skills.\nThese are some of the key components to the role:\n Model Development & Assessment: Lead well-defined assignments to develop and maintain machine learning models (regression, classification, clustering). Run predictive analyses and perform validation and enhancement activities to improve ETA accuracy.\nData 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.\nProduction Standards: Apply engineering practices to your work - intermediate-level source code, unit tests, version control. Be mindful of production environment rules and help monitor predictive performance of models.\nProcess Improvement: Identify opportunities to automate or improve existing processes; recommend solutions based on established best practices.Actionable Insights: Translate analytics output into clear, actionable insights for decision-making. Assist in presenting these to stakeholders in easy-to-understand language, using data visualisation where appropriate.\nCross-functional Collaboration: Work closely with Backend and ML Engineers; participate in cross-functional projects, building business acumen and domain knowledge from collaborating colleagues.\nProblem Solving: Solve problems independently and propose solutions to complex logistics problems. Suggest project timelines and help set expectations for deliverables.\nWhat will you bring to the team?\nPractical, 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.\nIntermediate-to-advanced proficiency in Python (pandas, scikit-learn) and SQL; familiarity with industry style guides such as PEP 8.\nAbility to perform data cleaning (de-duplication, standardisation) and exploratory data analysis; awareness of data security, compliance, and quality assessment.\nFamiliarity with version control (Git), testing, and basic data pipelines.\nA strong interest in logistics is a plus.\nAt JET, this is how we play\nOur 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.\nBeing the best at what we do isn’t just about delivering on our strategy. It's a competition for something incredibly valuable - our customers' choice. Every time a customer decides where to order, they're picking a side.\nAt the heart of the JET Customer League are our values and behaviours. They guide every interaction, every decision, every innovation. These are the actions we need to perform consistently and brilliantly, to surpass the competition and earn our customers’ loyalty, again and again.\nFun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins. By truly living our values and embodying our behaviours, we’re building a customer-first culture which enables us to stay one step ahead of the competition.\nInclusion, Diversity & Belonging\nNo matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We’re committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.\nWhat else are we delivering?\nWant to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET journeys.\nAre you ready to join the team? Apply now!","description_format":"text","description_chars":5318,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"Germany","iso":"DE","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-17T15:47:28Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":2,"expected_fill_days":20,"reasons":["conf:6","win:early","comp:brand"],"computed_at":"2026-10-18T02:23:46Z"},"pay":null,"html_url":"https://alion.io/job/just-eat-takeaway-com-data-scientist","json_url":"https://alion.io/job/just-eat-takeaway-com-data-scientist.json","meta":{"generated_at":"2026-10-18T02:23:46Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":3890,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-19T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":54498},"rest":"https://alion.io/mcp/rest/get_company?id=54498"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fjust-eat-takeaway-com-data-scientist"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fjust-eat-takeaway-com-data-scientist"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fjust-eat-takeaway-com-data-scientist"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/just-eat-takeaway-com-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fjust-eat-takeaway-com-data-scientist"}]}