{"id":3881801,"url":"https://alion.io/job/iwoca-data-scientist-credit-risk-modelling-2","title":"Data Scientist - Credit Risk Modelling","company":{"id":6070,"name":"iwoca","domain":"iwoca.co.uk","url":"https://alion.io/company/iwoca","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":83,"open_postings":9,"ghost_share":0,"stale_share":0.667,"repost_share":0,"time_to_fill_p50_days":52,"computed_at":"2026-11-10T06:52:35Z"}},"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":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":60000,"max":90000,"currency":"GBP","period":"year","gross":null,"usd_annual":120292},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Human-in-the-Loop","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Time Series","optional":false}],"status":"live","first_seen_at":"2026-11-06T16:45:11Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-10T06:26:47Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Data Scientist - Credit Risk Modelling\nHybrid in London or remote in the UK\nWe’re looking for a Data Scientist to join our Credit Risk Modelling team.\nYou'll work on the credit models that sit at the core of iwoca's lending business - the models that decide who we lend to, on what terms, and how far the product can grow.\nThe company\nSmall businesses move fast. Opportunities often don’t wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that’s as flexible and responsive as they are.\nThat's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed.\nWe’ve already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive.\nThe team\nThe Credit Risk Modelling team owns credit risk and customer lifetime value (CLtV) modelling for iwoca's UK and German lending. That covers the probabilistic machine learning models behind every credit decision, plus the CLtV models that shape pricing and portfolio strategy.\nThe team is around twelve data scientists, who combined create models to efficiently drive fully automated and human-in-the-loop decision making. This forms the core analytical team that interface with and support smaller analytic functions in other parts of the business.\nThe role\nAs a Data Scientist in Credit Risk Modelling, you'll use iwoca's lending data to answer credit risk and CLtV questions, and build what you find into the team's production models. The work ranges from keeping today's models accurate as conditions change, through incremental improvements, to research that could replace them.\nYou'll help choose the team's projects and put forward your own. With AI, prototyping is cheap enough for you to test ideas that once wouldn't have made the priority list. The R&D share of the role is growing as a result. You'll learn credit modelling in depth from several senior data scientists.\nLive examples of the work:\nCausal estimation of offer terms. Estimating the causal effect of amount, duration, and price on customer outcomes.\n\nUnifying automated and manual models. Finding a principled way to put the two model families, which optimise slightly different objectives, on a common cost function.\n\nIFRS accounting model. Developing a multi-stage model where recovery predictions feed back to improve the upfront loss estimates that International Financial Reporting Standards (IFRS) require.\n\nGeneralising credit and CLtV. Exploring whether a single, more general model could replace the separate credit and CLtV models.\n\nThe requirements\nEssential:\nApplied statistics. You have a background in statistics from a quantitative field - typically a degree or Master's in Statistics, Mathematics, Physics, or similar. You've applied it to real-world data, in research or at work. You know when the data breaks a method's assumptions, and what that does to your answer.\n\nProbabilistic reasoning. You quantify the uncertainty in each estimate, and treat calibration as a first-order concern.\n\nResearch mindset. You've tested new modelling ideas of your own, and judged which were worth taking further.\n\nJudgement. You critically evaluate model output - yours, a colleague's, or an LLM's - and can explain why a choice is right. You defend your reasoning under challenge, and challenge others' when the evidence points elsewhere.\n\nAnalytical ownership. You've taken ambiguous problems from framing the question to a decision the business acted on. You give an early answer and update it as new evidence comes in.\n\nAI leverage. You've used AI to produce work you couldn't have delivered without it - a prototype, an automation, or a modelling pipeline others use. You judge where it helps and where it doesn't.\n\nCommunication. You write and speak clearly, directly, and concisely. You adapt technical detail to your audience.\n\nBonus:\nDomain experience. You've worked in credit risk, lending, or customer lifetime value modelling.\n\nProduction ML. You've built supervised ML models end to end - exploration, training, deployment, and monitoring.\n\nNon-linear methods. You can think in terms of the cost function and inductive biases of your models.\n\nBayesian methods. You've used hierarchical models, MCMC, or Bayesian updating in real work.\n\nTime series modelling. You've modelled temporal data where autocorrelation, drift, or seasonality mattered.\n\nCoding. You can write code for analysis. The team works in Python\n\nThe salary\nWe expect to pay from £60,000 - £90,000 for this role. But, we’re open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews.\nThe culture\nAt iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence-based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective.\nWe're a tech company and believe in the power of AI to help us work faster and better. We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data. We will help our people to learn how to use and grow with the new tools available to them.\nThe offices\nWe put a lot of effort into making iwoca a great place to work:\nOffices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks.\n\nEvents and community-led groups, including running groups, padel, and monthly ping-pong and pool competitions.\n\nThe benefits\nFlexible working hours.\n\nMedical insurance from Vitality, including discounted gym membership.\n\nA private GP service (separate from Vitality) for you, your partner, and your dependents.\n\n25 days’ holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave.\n\nA one-month, fully paid sabbatical after four years.\n\nInstant access to external counselling and therapy sessions for team members that need emotional or mental health support.\n\n3% Pension contributions on total earnings.\n\nAn employee equity incentive scheme.\n\nGenerous parental leave and a nursery tax benefit scheme to help you save money.\n\nElectric car scheme and cycle to work scheme.\n\nTwo company retreats a year: we’ve been to France, Italy, Spain, and further afield.\n\nAnd to make sure we all keep learning, we offer:\nA learning and development budget for everyone.\n\nCompany-wide talks with internal and external speakers.\n\nAccess to learning platforms like Treehouse.\n\nUseful links:\niwoca benefits & policies\n\nInterview welcome pack","description_format":"text","description_chars":7054,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":["Annual leave","Equity","Flexible schedule","Gym membership","Health insurance","Parental leave"],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["RegTech, AML & Compliance","Business & SME Lending"],"lifecycle":[{"event":"open","at":"2026-11-06T18:23:11Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"Licensed UK visa sponsor (Skilled Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Skilled Worker","cap_exempt":false,"checked_at":"2026-11-10T11:34:35+00:00","sources":["UK Home Office: register of licensed sponsors (workers)"],"filings_for_role_12m":0}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":3,"expected_fill_days":52,"reasons":["conf:0","velocity","win:early"],"computed_at":"2026-11-10T06:52:35Z"},"pay":{"stated_usd_annual":120292,"is_top_pay":false},"html_url":"https://alion.io/job/iwoca-data-scientist-credit-risk-modelling-2","json_url":"https://alion.io/job/iwoca-data-scientist-credit-risk-modelling-2.json","meta":{"generated_at":"2026-11-10T11:36:36Z","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":26968,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-11T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"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":6070},"rest":"https://alion.io/mcp/rest/get_company?id=6070"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fiwoca-data-scientist-credit-risk-modelling-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"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%2Fiwoca-data-scientist-credit-risk-modelling-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"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%2Fiwoca-data-scientist-credit-risk-modelling-2"},{"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/iwoca-data-scientist-credit-risk-modelling-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fiwoca-data-scientist-credit-risk-modelling-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3881801}},{"tool":"search_jobs","arguments":{"company":"iwoca.co.uk","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3881801},"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"}}