{"id":3205722,"url":"https://alion.io/job/equifax-data-scientist-fraud","title":"Data Scientist - Fraud","company":{"id":4816,"name":"Equifax","domain":"equifax.com","url":"https://alion.io/company/equifax","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":77,"open_postings":14,"ghost_share":0,"stale_share":0.929,"repost_share":0,"time_to_fill_p50_days":30,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom","Leeds, United Kingdom","Nottingham, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":63000,"max_usd":145000,"period":"year","method":"role_country_seniority_unknown","sample_n":202},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Jupyter Notebook","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SAS","optional":false},{"name":"SQL","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-09-25T00:00:00Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-10-30T01:01:21Z","board_verified":true,"closed_at":null,"days_open":35,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":35},"description":"Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you.\nCome join the Equifax UK Data & Analytics team and develop market leading fraud scores, models and analytical solutions using the latest cloud based technologies, techniques and tooling. Be part of a growing and diverse team tasked with creating the next generation of statistical models, machine learning algorithms and AI based products and services.\nWe believe great things happen when teams connect. Our schedule is built around 4 days of high-impact, in-office collaboration (Monday-Thursday), paired with Friday Flexibility to wrap up your week remotely.\nWhat You’ll Do\nDevelop market leading statistical fraud models and pseudo-models for the Equifax UK business e.g. consumer fraud models, commercial fraud models, synthetic fraud, payment intent models, and loan stacking indicators and models Utilise and blend all available data sources to ensure all fraud models are highly predictive and market leading - consumer bureau data, postcode insights, open source data,transactional insights & fraud indicators from partnerships\nApply traditional model development techniques and approaches (e.g. logistic regression) as well as adopting new AI/ML techniques such as gradient boosting, random forests, clustering, etc.\nUtilise the latest cloud based technologies and analytical tooling to support test-and-learn champion/challenger approaches towards new fraud scores and models\nConsider the creation of new characteristics/attributes to improve and maximise the predictive power of the model(s) as well as enhancing and creating other analytical products and services. This can be done through expert approaches or through AI approaches (e.g. transformers)\nInvestigate and apply appropriate segmentation and sub-populations to maximise overall model & score performance\nLiaise with internal stakeholders in a timely and effective manner towards the delivery of new scores and products e.g. Product Managers, Model Risk Management, Pre-Sales, Consultancy, Compliance, Technology, Data & Analytics etc.\nWork closely with Data Scientists and analytical teams globally across the Equifax business to share best practice and learnings\nAdhere to relevant model development policies and procedures towards a successful deployment of scores and models e.g. sample design, good/bad definitions, rationale for exclusions, model development, model validation, implementation, etc.\nProduce suitable documentation alongside the statistical development of the model(s) to support peer review and Model Risk Management processes\nWhat experience you need\n Experience using credit bureau data in statistical fraud models - raw and summarised data\nExtensive experience developing statistical models and scores particularly within fraud (consumer and commercial)\nHighly numerate with a relevant degree 2:1 or above\nUse of relevant analytical tooling on a day-to-day basis e.g. Python, SAS, BigQuery, Jupyter Notebook, SQL, etc.\nPrevious experience of developing regression models and scores - e.g. logistic\nDay to day exposure to large/complex datasets, analytical tools, spreadsheets, analytical platforms, etc.\nAble to extract data from multiple platforms and create master datasets towards the development of statistical models\nExperience across different fraud types, e.g. consumer fraud, commercial fraud, Anti-Money Laundering, KYC.\nA team player, effective communicator with the ability to work unsupervised\nUnderstanding of the regulatory landscape with respect to consumer & commercial credit and the potential impact to our clients (i.e. addressing the \"why\" behind our decision making)\nWhat could set you apart\nExperience of developing AI/ML based fraud solutions and models\nDay to day use of G-Suite tooling, GCP and VertexAI\nExperience of working in a credit reference agency and/or client environment e.g. Banking, Lending, Insurance, Public Sector, Utilities, etc.\nUse of LLMs to improve efficiencies in the model building process\nUse of alternative data such as open banking transactional data in statistical models\nExperience of working in a product development environment\nExperience with industry related fraud prevention tools (e.g. Hunter, Kount, SEON, ThreatMetrix, Lexisnexis, Minerva, CrossCore, TruValidate, FICO Falcon, etc.)\nExperience with standard product testing procedures (UAT, OAT, regression, etc.)\nAdoption of champion/challenger approaches and techniques\nCreative and innovative thinker\nStrong track record of delivery\nTeam player with the ability to go above and beyond\nThe Perks of being a Equifax Employee?\nWe offer a wide range of company supported benefits including contributory pension, life cover, income protection, healthcare, enhanced maternity and sick pay, 26 days holiday and a day off for your birthday, with the ability to buy and sell and free credit checks. We also offer flexible benefits ranging from cycle to work, discounted travel options, gym membership, dining and leisure discounts, financial & savings plans, mobile discounts plus much more!\nWe also support personal development and have a range of learning options including our global online learning platform and allow you to bring your whole self to work supported by our Inclusion and Diversity, Wellbeing and Employee Engagement forums.\nAre you ready to power your possible? Apply today, and get started on a path toward an exciting new career at Equifax, where you can make a difference!\nPrimary Location:\nGBR-LondonGBR-Leeds-6-Wellington, GBR-NottinghamFunction:\nFunction - Data and AnalyticsSchedule:\nFull time","description_format":"text","description_chars":5735,"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":["Gym membership"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Cybersecurity","Data & Analytics","Financial Services","Professional Services"],"lifecycle":[{"event":"open","at":"2026-10-24T12:47:35Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Senior or Specialist Worker, Skilled Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Global Business Mobility: Senior or Specialist Worker; Skilled Worker","cap_exempt":false,"checked_at":"2026-10-29T06:20:15+00:00","sources":["UK Home Office: register of licensed sponsors (workers)"],"filings_for_role_12m":0}],"liveness":{"score":26,"band":"fade","label":"Fading","p_open":1,"p_active":0.476,"p_room":0.55,"age_days":34,"expected_fill_days":30,"reasons":["conf:2","stale_co","velocity","win:tail","comp:brand"],"computed_at":"2026-10-29T05:49:05Z"},"pay":null,"html_url":"https://alion.io/job/equifax-data-scientist-fraud","json_url":"https://alion.io/job/equifax-data-scientist-fraud.json","meta":{"generated_at":"2026-10-30T05:36:28Z","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":7801,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-31T00:00:00Z"}},"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":4816},"rest":"https://alion.io/mcp/rest/get_company?id=4816"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fequifax-data-scientist-fraud"},{"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%2Fequifax-data-scientist-fraud"},{"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%2Fequifax-data-scientist-fraud"},{"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/equifax-data-scientist-fraud\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fequifax-data-scientist-fraud"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3205722}},{"tool":"search_jobs","arguments":{"company":"equifax.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3205722},"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"}}