{"id":2086290,"url":"https://alion.io/job/experian-senior-data-scientist-3","title":"Senior Data Scientist","company":{"id":3558,"name":"Experian","domain":"experian.com","url":"https://alion.io/company/experian","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":18,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-10-12T06:55:09Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sofia, Bulgaria"],"countries":["BG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":32000,"max_usd":84000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2157},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-10-08T12:16:18Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-12T22:23:43Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.\n As a Senior Data Scientist you will lead research, development and client-focused innovation across our fraud analytics portfolio by creating solutions that strengthen fraud detection, digital trust and risk decisioning across markets. You will evaluate and integrate data assets while balancing multiple concurrent projects, anticipating risks and deliver outcomes. You will invent machine learning, graph, behavioural and GenAI methods to structured and unstructured data; and convert prototypes into reusable capabilities on the Ascend platform.\nThe product scope includes fraud analytics and decisioning solutions, unified digital intelligence, device fingerprinting and behavioural intelligence, trade-delete and credit-washing analytics, GenAI fraud assistants.\nYou will report to Director of Data Science and GenAI.\nWhat you'll do:\nAnalyze large-scale fraud, credit, device, behavioral and digital-interaction data to identify risk and trust signals.\nDevelop fraud models, scores, attributes, device profiles and graph-based capabilities for AFS and related solutions.\nApply advanced machine learning, graph analytics, deep learning and GenAI methods to complex fraud challenges.\nEvaluate and measure value of new data assets.\nBuild scalable data pipelines, reusable analytical tools, automation templates and production-ready solutions on Ascend.\nValidate model performance, stability, fairness, explainability and growth.\nLead analytical and productization workstreams.\nApply advanced algorithms to business problems and move solutions from research or prototype into production or client use.\nTranslate technical findings into recommendations.\nPartner across multiple geographically distributed teams.\nMentor colleagues, share expertise and promote responsible AI and reproducible practices.\nMaintain knowledge of fraud trends, digital intelligence, regulation, GenAI and latest analytical technologies.\nMeasure benefits and explain trade-offs.\n What you'll bring:\n5-7+ years of relevant experience in data science, AI, predictive modeling or advanced analytics, including ownership of complex, hands-on innovation and client-focused projects.\n7+ years of experience developing data and automation pipelines and transitioning analytical prototypes into monitored, scalable production solutions.\nGrasp of probability, statistical inference, optimization, linear algebra and calculus\nUnderstanding of when and how to apply regression, machine learning, AI, deep learning, clustering, gradient boosting, graph algorithms, anomaly and pattern detection, and Gen AI.\nCommand of model validation, including cross-validation, regularization, Bayesian methods, in-sample versus out-of-sample testing, statistical significance tests and Monte Carlo simulation.\nWrite near-production-level Python code; experience with PySpark and distributed data processing.\nKnowledge in modern ML and deep-learning tooling and LLM and agent-based development frameworks.\nUnderstanding of large-scale data technologies, cloud platforms, NoSQL and graph databases, time-series data and tools for unstructured information.\nKnowledge of fraud risk, identity, device fingerprinting, digital or behavioral intelligence, credit-washing analytics, credit risk, fraud graphs or fraud strategy optimization.\nUnderstanding of model governance, responsible AI, explainability, privacy, security and regulatory considerations relevant to fraud and digital-interaction data.\nInterest and experience mentoring colleagues and providing technical leadership.\nAdvanced technical/quantitative degree or equivalent experience.\nFluent English\n What you will get:\nPersonal Development - career pathway for professional growth supported by learning and development programs and unlimited access to online educational training courses, learning materials and books.\nWork environment - excellent work conditions with friendly environment, recognized team spirit, and fun and quality recreation time.\nSocial benefit package including life insurance, food vouchers, additional health insurance, monthly flex allowance and internet coverage, corporate discounts, marriage and childbirth / adoption allowance, Multisport card, Sharesave plan, Employee assistance program, а birthday gift and many other benefits!\nWork-life balance - 25 days paid vacation, 1 additional day off for your birthday and extra 3 paid days for participation in Social responsibility event.\nOpportunity for Flexible working hours and Home Office.\nExperian is an Equal opportunity employer. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.\nThis is a hybrid remote/in-office role.\nRecruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.\nExperian Careers - Creating a better tomorrow together\nFind out what its like to work for Experian by clicking here","description_format":"text","description_chars":5761,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Flexible schedule","Health insurance","Home office","Life insurance"],"hiring_locations":[{"name":"Bulgaria","iso":"BG","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Fraud Detection","Credit Bureaus & Rating Agencies"],"lifecycle":[{"event":"open","at":"2026-10-08T12:19:57Z"}],"visa":[],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":3,"expected_fill_days":26,"reasons":["conf:1","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-10-12T06:55:09Z"},"pay":null,"html_url":"https://alion.io/job/experian-senior-data-scientist-3","json_url":"https://alion.io/job/experian-senior-data-scientist-3.json","meta":{"generated_at":"2026-10-12T22:42:08Z","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":37123,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-13T00:00:00Z"}},"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":3558},"rest":"https://alion.io/mcp/rest/get_company?id=3558"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fexperian-senior-data-scientist-3"},{"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%2Fexperian-senior-data-scientist-3"},{"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%2Fexperian-senior-data-scientist-3"},{"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/experian-senior-data-scientist-3\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fexperian-senior-data-scientist-3"}]}