{"id":3825335,"url":"https://alion.io/job/vodafone-group-lead-data-scientist","title":"Lead Data Scientist","company":{"id":51587,"name":"Vodafone Group","domain":"vodafone.com","url":"https://alion.io/company/vodafone-group","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"C","score":60,"open_postings":462,"ghost_share":0.409,"stale_share":0.327,"repost_share":0.509,"time_to_fill_p50_days":47,"computed_at":"2026-11-08T05:47:12Z"}},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","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":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Google BigQuery","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-11-04T13:48:11Z","employer_posted_date":"2026-11-05","last_verified_at":"2026-11-08T11:31:27Z","board_verified":true,"closed_at":null,"days_open":3,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":3},"description":"Who we are\nVOIS (Vodafone Intelligent Solutions) is a strategic arm of Vodafone Group Plc, creating value for customers by delivering intelligent solutions through Talent, Technology & Transformation.\nAs the largest shared services organisation in the global telco industry with 30,000 FTE, our portfolio of next-generation solutions and services are designed in partnership with customers across Vodafone Group, local markets, and partner markets to simplify and drive growth. With our strategic partner Accenture, we work alongside our Vodafone customers, other Telco and tech companies to drive transformation, meet the challenges of our industry and ensure we stay relevant and resilient. This partnership is a unique, industry-first model which brings together the best of in-house and 3rd party capability.\nWe work with customers across 28 countries from 10 VOIS locations: Albania, Egypt, Hungary, India, Romania, Spain, Turkey, UK, Germany, Ireland, and with a network of teams in Czech Republic, Italy, Greece, and Portugal.\n#VOIS #BeUnrivalled #CreateTheFuture\nAbout this role\nWe are seeking a Lead Data Scientist to provide senior scientific leadership for Data Science and applied-model development within Digital Engineering, Digital & IT.\nBased flexibly in Newbury or Paddington, UK, you will translate customer, commercial and operational challenges into testable analytical approaches, lead modelling and experimentation, and ensure models are statistically sound, reproducible, explainable and fair.\nReporting to the Data Products & Insights Lead, you will define what should be modelled and how scientific validity should be established. You will work closely with Product, Data Engineering and ML & AI Engineering, with the Senior ML & AI Engineer responsible for reliable production engineering.\nThis role has no direct or dotted-line reports and is focused on scientific leadership, technical judgement and measurable real-world impact.\nWhat you’ll do\nFrame customer, commercial and operational challenges as testable Data Science questions, defining outcomes, baselines, assumptions, decision thresholds and measures of value.\nLead the development and validation of predictive, forecasting, propensity, anomaly and fraud, optimisation and causal models for prioritised use cases.\nDefine appropriate experimental design, sampling approaches, feature strategies, evaluation methods and statistical tests based on the decision being supported and the available data.\nLead modelling, experimentation and scientific validation, ensuring analytical approaches are proportionate to the problem and evidence available.\nSet and assure scientific standards for reproducibility, peer review, explainability, fairness, bias, uncertainty and model limitations.\nEvaluate model validity and recommend whether models should proceed, be redesigned or stop where sufficient validity or value cannot be established.\nPartner with Product, Data Engineering and ML & AI Engineering to ensure validated models are actionable and suitable for productionisation.\nMeasure post-launch performance and real-world customer or business impact to establish whether deployed Data Science solutions are achieving their intended outcomes.\nProvide scientific input into data, tooling and experimentation choices.\nSupport effective transition of scientifically validated models into reliable production environments while maintaining clear accountability between Data Science and ML/AI Engineering.\nWho you are\nYou are an experienced Data Science practitioner with the technical depth and scientific judgement to lead complex modelling and experimentation in production-oriented environments.\nYou will bring:\nExtensive applied Data Science experience, including leadership of complex modelling and experimentation.\nAdvanced Python capability and experience with relevant statistical and machine learning libraries.\nAdvanced understanding of supervised and unsupervised machine learning, forecasting, causal inference and experimental methods.\nExperience selecting evaluation approaches, statistical tests, decision thresholds and validation techniques appropriate to different analytical problems.\nStrong understanding of model evaluation, calibration, explainability, fairness, bias, uncertainty and reproducibility.\nThe scientific judgement to select proportionate approaches, communicate uncertainty clearly and recommend stopping or redesigning work where validity or measurable value cannot be demonstrated.\nExperience with cloud analytics and machine learning environments, preferably BigQuery and Vertex AI, or equivalent technologies.\nStrong working knowledge of production ML constraints and experience collaborating effectively with Data Engineers and ML & AI Engineers.\nThe ability to convert customer, commercial and operational requirements into measurable analytical outcomes.\nExperience assessing deployed models against real-world customer or business outcomes.\nA postgraduate qualification in a quantitative discipline or equivalent depth of applied experience.\nNot a perfect fit?\nConcerned you may not meet every requirement? Vodafone is committed to creating an inclusive workplace where everyone can thrive. If you are excited about this role but your experience does not align exactly with every aspect of the job description, you are encouraged to apply. You may be the right candidate for this or another opportunity, and the recruitment team will support you in exploring where your skills fit best.\nWhat's in it for you\nThe opportunity to provide senior scientific leadership across Data Science and applied-model development.\nWork on customer, commercial and operational use cases spanning predictive modelling, forecasting, propensity, anomaly and fraud detection, optimisation and causal modelling.\nInfluence whether Data Science use cases progress into production based on scientific validity, measurable value and real-world outcomes.\nCollaborate across Product, Data Engineering and ML & AI Engineering, helping connect scientific development with production-ready solutions.\nShape scientific standards for responsible modelling, including reproducibility, explainability, fairness, bias and uncertainty.\nWork with cloud-based analytics and ML capabilities, including BigQuery and Vertex AI or equivalent technologies.\nContribute to Data Science solutions designed to deliver measurable customer and business impact.\nWhat skills you will learn\nThrough this role, you will have opportunities to further develop:\nApplied scientific leadership across complex Data Science and AI use cases.\nAdvanced experimentation and causal inference, including experimental design, sampling, statistical evaluation and impact measurement.\nResponsible AI and model governance, with a focus on explainability, fairness, bias, uncertainty and reproducibility.\nCloud-based Data Science and ML practices, including exposure to BigQuery and Vertex AI or equivalent environments.\nProduction ML collaboration, working across Data Engineering and ML & AI Engineering to transition validated models into production.\nPost-launch model evaluation, connecting model performance with measurable customer and commercial outcomes.\nBusiness translation and scientific judgement, strengthening the ability to turn complex operational or commercial questions into testable hypotheses and evidence-based decisions.\nVOIS Equal Opportunity Employer Commitment\nVodafone recognises and celebrates the value of diversity in building a workforce that reflects the customers and communities it serves. No form of discrimination is tolerated. This includes, but is not limited to, discrimination based on race, colour, age, veteran status, gender identity, gender expression, sexual orientation, pregnancy, maternity or parental status, ethnicity, disability, religion or belief, political affiliation, trade union membership, nationality, citizenship, indigenous status, medical condition, HIV status, neurodiversity, social origin, cultural background, marital or civil partnership status, or socio-economic background.\nJoin Us\nAt Vodafone, we’re working hard to build a better future. A more connected, inclusive and sustainable world. As a dynamic global community, it's our human spirit, together with technology, that empowers us to achieve this.\nWe challenge and innovate in order to connect people, businesses, and communities across the world. Delighting our customers and earning their loyalty drive us, and we experiment, learn fast and get it done, together.\nWith us, you can be truly be yourself and belong, share inspiration, embrace new opportunities, thrive, and make a real difference.\nAlert\nApply for Vodafone jobs only through the official Vodafone Careers website to avoid job scams and fraud.” #JDEnhancedByTARA\nFollow us on social media and #StayConnected\nLinkedIn: https://www.linkedin.com/company/vois/\nFacebook: https://www.facebook.com/voisglobal\nInstagram: https://www.instagram.com/voisglobal/\nYou can also chat with our employees to learn more about our projects: https://lnkd.in/dpkrcvR2","description_format":"text","description_chars":9089,"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":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Mobile Networks","Broadband","IoT Connectivity"],"lifecycle":[{"event":"open","at":"2026-11-05T18:17:17Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"Licensed UK visa sponsor (Senior or Specialist Worker, Skilled Worker, Graduate Trainee)","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; Global Business Mobility: Graduate Trainee","cap_exempt":false,"checked_at":"2026-11-08T10:45:15+00:00","sources":["UK Home Office: register of licensed sponsors (workers)"],"filings_for_role_12m":0}],"liveness":{"score":63,"band":"ok","label":"Likely open","p_open":1,"p_active":0.632,"p_room":1,"age_days":3,"expected_fill_days":47,"reasons":["conf:2","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-11-08T05:47:12Z"},"pay":null,"html_url":"https://alion.io/job/vodafone-group-lead-data-scientist","json_url":"https://alion.io/job/vodafone-group-lead-data-scientist.json","meta":{"generated_at":"2026-11-08T12:25:51Z","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":26465,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-09T00:00:00Z"}},"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":51587},"rest":"https://alion.io/mcp/rest/get_company?id=51587"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fvodafone-group-lead-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%2Fvodafone-group-lead-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%2Fvodafone-group-lead-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/vodafone-group-lead-data-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fvodafone-group-lead-data-scientist"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3825335}},{"tool":"search_jobs","arguments":{"company":"vodafone.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3825335},"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. 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