{"id":39582,"url":"https://alion.io/job/ing-data-scientist-analytics-ing-bank","title":"Data Scientist | Analytics @ ING Bank","company":{"id":3744,"name":"ING Group","domain":"ing.com","url":"https://alion.io/company/ing","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":80,"open_postings":100,"ghost_share":0.01,"stale_share":0.74,"repost_share":0.03,"time_to_fill_p50_days":29,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Romania"],"countries":["RO"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":25000,"max_usd":69000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1015},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-07-23T00:00:00Z","employer_posted_date":"2026-07-23","last_verified_at":"2026-11-03T03:05:54Z","board_verified":true,"closed_at":null,"days_open":103,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":103},"description":"Mission\nAt ING, we believe in giving people the freedom to grow, explore, and build what matters to them. Analytics plays a key role in making that possible - by turning data into insights that help our customers, our colleagues, and our business make better decisions every day.\nAs part of ING’s Analytics community, you will work in an open, supportive environment that values curiosity, ownership, and autonomy. You will contribute by building advanced analytics solutions that transform complex data into meaningful insights and actions, helping ING become a truly data-driven organization.\nAs a Data Scientist, your mission is to analyze complex datasets, uncover patterns, and develop advanced analytical solutions that improve products, services, and decision-making across Retail Banking.\nAbout the team\nYou’ll join a highly analytical team within Retail Banking, focused on turning complex data into clear, actionable insights.\nThe team works in a collaborative, data-driven environment, partnering closely with Product, Marketing, Operations, and other stakeholders to deliver scalable, production-ready analytics solutions.\nYour day-to-day\nAs a Data Scientist working in an Agile environment, you will contribute to the squad’s purpose by owning data science problems end-to-end, from business understanding to deployment and governance.\nIn this role, you will:\nAnalyse large, complex datasets to identify patterns, trends, and insights that support business strategy and decision-making.\nTranslate business questions into data science problems, defining data requirements, analytical approaches, and implementation plans.\nDevelop and apply advanced analytics, including statistical analysis, machine learning models, and predictive techniques.\nBuild, test, and deploy data products and machine learning models at scale on data platforms.\nPerform data exploration, cleaning, transformation, and feature engineering to ensure high-quality analytical outputs.\nDeliver clear insights, visualisations, and storytelling to technical and non-technical stakeholders, enabling a data-driven culture.\nCollaborate with cross-functional teams (Product, Marketing, Operations) to align analytics solutions with business goals.\nEnsure proper model governance, including documentation, validation, monitoring, and compliance with internal standards.\nContribute to building reusable datasets, pipelines, and scalable analytical components.\nApply best practices in data privacy, security, and ethical use of data and AI models.\nIdentify opportunities for automation and optimization of analytical processes.\nProvide guidance and share knowledge within the team to support capability building and continuous improvement.\nWhat you bring to the team\nEducation & Experience: Master’s degree in a quantitative field (Mathematics, Statistics, Economics, Finance, Computer Science) and 3-6+ years of experience in data science, analytics with ability to work independently on complex topics.\nAdvanced Analytics & Technical Skills:Strong knowledge of statistical analysis, data exploration, and machine learning techniques.\nStrong experience with programming languages such as Python (and PySpark).\nAbility to work with large datasets and apply robust analytical processes (data cleaning, modelling, forecasting, pattern recognition).\nFamiliarity with data visualization tools to communicate insights effectively.\n\nOwnership & Collaboration: Ability to independently frame complex business problems, work in cross-functional Agile squads, and take ownership from problem definition to production and governance.\nCommunication & Storytelling: Strong communication skills, capable of explaining complex analytical trade-offs to both technical and non-technical audiences.\nWhat we offer\nImpactful work in a fun, inclusive and highly collaborative environment.\nModern, open office spaces built for teamwork and creative work.\nA collaborative, inclusive, and high-performing analytics community.\nHybrid working model with flexibility baked in.\nMonthly benefit budget and extra vacation days based on experience.\nContinuous learning through ING Learning Centre, Udemy, Bookster, trainings, and certifications\nInternal mobility opportunities across ING worldwide, including short- and long-term international assignments.\nOpportunities to contribute to sustainability and CSR initiatives.\nJob Application Safety Reminder\nWe’re seeing an increase in fraudulent job offers. To protect yourself, please:\nApply only via official ING platforms. ING uses Workday as its recruitment system.\nVerify the sender’s email - it should only come from @ing.com or @myworkday.com.\nKnow that ING will never request payments or banking details during the recruitment process. \nHow to apply\nClick “Apply ” on our careers site and submit your application through Workday. We’re excited to meet you!\nDiscover ING Bank Romania\nING believes in a world where everyone should have the freedom to grow in their own way - our global tagline, “do your thing ”, reflects this belief. We empower our people with autonomy and expect them to use it to create meaningful impact for customers, colleagues and the organization.\nWorking here means being surrounded by energetic, ambitious and supportive colleagues. We embrace curiosity, thrive on change and continuously explore better ways of doing things.\nWith more than 30 years of presence in Romania, ING has been a pioneer in transforming the local banking landscape, driven by technology and innovation.\nING Bank Romania is the only bank in the local top 10 that has achieved its position through organic growth, without acquiring portfolios or other banks. We serve over 2.0 million clients across Retail, SME & Mid-Corporate and Wholesale Banking.\nJoin us!","description_format":"text","description_chars":5760,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Continuous learning","Hybrid work"],"hiring_locations":[{"name":"Romania","iso":"RO","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Commercial & Retail Banks","Investment Banking & M&A Advisory"],"lifecycle":[{"event":"open","at":"2026-07-23T00:00:00Z"}],"visa":[],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.274,"p_room":0.28,"age_days":103,"expected_fill_days":29,"reasons":["conf:2","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-11-03T05:54:40Z"},"pay":null,"html_url":"https://alion.io/job/ing-data-scientist-analytics-ing-bank","json_url":"https://alion.io/job/ing-data-scientist-analytics-ing-bank.json","meta":{"generated_at":"2026-11-03T06:41:54Z","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":9297,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-04T00:00:00Z"}},"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":3744},"rest":"https://alion.io/mcp/rest/get_company?id=3744"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fing-data-scientist-analytics-ing-bank"},{"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%2Fing-data-scientist-analytics-ing-bank"},{"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%2Fing-data-scientist-analytics-ing-bank"},{"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/ing-data-scientist-analytics-ing-bank\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fing-data-scientist-analytics-ing-bank"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":39582}},{"tool":"search_jobs","arguments":{"company":"ing.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":39582},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}