{"id":2033213,"url":"https://alion.io/job/n26-data-scientist","title":"Data Scientist","company":{"id":1246,"name":"N26","domain":"n26.com","url":"https://alion.io/company/n26","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":93,"open_postings":11,"ghost_share":0,"stale_share":0.273,"repost_share":0,"time_to_fill_p50_days":49,"computed_at":"2026-10-08T05:49:30Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Barcelona, Spain"],"countries":["ES"],"hiring_countries":["ES"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":33000,"max_usd":99000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":434},"experience_years_min":2,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"Accelerate","optional":true},{"name":"Amazon SageMaker","optional":true},{"name":"Anomaly Detection","optional":true},{"name":"AWS","optional":true},{"name":"CatBoost","optional":true},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"GitHub Actions","optional":true},{"name":"Keras","optional":true},{"name":"LightGBM","optional":true},{"name":"Prophet","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"SQL","optional":true},{"name":"TensorFlow","optional":true},{"name":"Time Series Forecasting","optional":true},{"name":"XGBoost","optional":true}],"status":"live","first_seen_at":"2026-10-07T14:25:42Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-09T03:06:52Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"About the opportunity\nWe are seeking a Data Scientist to build production-ready applications. Our Data Science team develops practical machine learning applications to enable innovative and customer-facing product features.\nIn this role, you will:\nOwn well-scoped projects from data exploration and feature engineering through modelling to deployment, with guidance from senior colleagues on larger or more ambiguous problems.\nContribute to solutions in financial crime prevention and credit risk assessment that reach customers.\nCollaborate with data scientists, machine learning engineers and product managers to deliver customer value.\nSupport junior colleagues through code reviews, pairing and knowledge sharing.\nHave the opportunity to experiment with new tech stacks and project ideas.\nWhat you need to be successful (Background and Skills): \nBachelor’s or Master’s degree with a focus on quantitative disciplines including mathematics, statistics, or computer science.\nPractical experience (typically 2-4 years) developing machine learning solutions, with at least one model taken to production. Experience in banking, fraud detection, or credit risk is a plus.\nHands-on experience with a range of modelling techniques, including:Classification and regression models: (e.g., CatBoost, XGBoost, LightGBM)\nTime Series Analysis: (e.g., ARIMA, SARIMA, Prophet)\nUnsupervised Models: (e.g., clustering, anomaly detection such as Isolation Forest)\n\nSolid understanding of model evaluation, including handling imbalanced data, validation strategies, and calibration.\nStrong programming skills in Python and SQL.\nWorking knowledge of infrastructure (e.g., Docker/containers, CI/CD, GitHub Actions) and the ability to ship and maintain your own code.\nFamiliarity with Deep Learning concepts (neural networks, transformers, autoencoders) and at least one framework (TensorFlow, Keras, or PyTorch).\nYou are organised and self-motivated, and can drive projects forward independently while knowing when to ask for input.\nLanguage skills: English (full professional proficiency).\nPreferred Qualifications & \"Nice to Haves\"\nKnowledge of the banking industry (regulatory and compliance, PD/LGD/EAD modelling, credit card fraud, anti-money laundering).\nExperience with cloud ML platforms, especially AWS SageMaker.\nFamiliarity with Large Language Models (LLMs).\nEarly experience mentoring or onboarding colleagues.\nTraits\nHighly collaborative and actively help yourself (and others) be successful.\nA strong passion for learning and continuously challenging the status quo.\nStrong bias for action and a willingness to make an impact from day 0.\nGive and receive open, direct, and timely feedback.\nThink globally, act locally.\nWhat’s in it for you:\nAccelerate your career growth by joining one of Europe’s most talked about disruptors.\nEmployee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation. \nCome together with your team in the office for a dedicated day of teamwork each week, plus another day of your choice, and enjoy the flexibility of remote work the rest of the time. Some roles may require additional in-office presence.\nAs an N26 employee you will have access to a Premium subscription on your personal N26 bank account. As well as subscriptions for friends and family members. \nAdditional day of annual leave for each year of service. \nA high degree of autonomy and access to cutting edge technologies - all while working with a friendly team of peers of diverse nationalities, life experiences and backgrounds. \nA relocation package with visa support for those who need it.\nWho we are\nN26 has reimagined banking for today’s digital world. Technology and design empowereverything we do and it’s how we are building the global banking platform the world loves to use.\nWe've eliminated physical branches, paperwork, and hidden fees for an elegant digital experience and supreme savings. Giving people the power to live and bank their way is what gets us out of bed in the morning and inspires the work that we do. \nWe are headquartered in Berlin with offices in multiple cities across Europe, including Vienna and Barcelona, and a 1,500-strong team of more than 80 nationalities.\nSounds good? Apply now for this position.\nEqual Opportunities:\nWe recognize that our strength lies in our people and the varied perspectives they bring to our workforce. We strive to build talented and diverse teams to drive our business success and empower our people to reach their full potential.\nWe genuinely welcome and encourage applications from people of all backgrounds, cultures, genders, sexual orientations, abilities, neurodiversities, and ages. We're committed to creating an inclusive workspace where everyone feels valued and respected, free from harassment and discrimination. If there's anything you need to make the application process work for you, please let us know by reaching out to . \nVisit our website to learn more about Diversity, Equity, & Inclusion at N26.","description_format":"text","description_chars":5113,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Annual leave","Equity"],"hiring_locations":[{"name":"Spain","iso":"ES","kind":"country"}],"hiring_excludes":[],"relocation_offered":true,"industries":["Consumer Electronics","Digital Banks & Neobanks"],"lifecycle":[{"event":"open","at":"2026-10-07T15:01:15Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":49,"reasons":["conf:2","win:early","comp:junior"],"computed_at":"2026-10-08T05:49:30Z"},"pay":null,"html_url":"https://alion.io/job/n26-data-scientist","json_url":"https://alion.io/job/n26-data-scientist.json","meta":{"generated_at":"2026-10-09T03:50:50Z","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","counted_by":"address","units_charged":1,"used_today":3026,"day_limit":5000,"remaining_today":1974,"minute_limit":60,"resets_at":"2026-10-10T00:00:00Z"}},"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":1246},"rest":"https://alion.io/mcp/rest/get_company?id=1246"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fn26-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%2Fn26-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%2Fn26-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/n26-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fn26-data-scientist"}]}