{"id":2690450,"url":"https://alion.io/job/loopme-avp-data-science","title":"AVP Data Science","company":{"id":2680733,"name":"LoopMe","domain":"loopme.ai","url":"https://alion.io/company/loopme-4","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"head","employment_type":null,"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":null,"salary_estimate":{"min_usd":100000,"max_usd":242000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":91},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Machine Learning","optional":false},{"name":"Apache Kafka","optional":true},{"name":"ClickHouse","optional":true},{"name":"Docker","optional":true},{"name":"ElasticSearch","optional":true},{"name":"GCP","optional":true},{"name":"Python","optional":true},{"name":"Spark","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-07-14T00:00:00Z","employer_posted_date":"2026-07-14","last_verified_at":"2026-10-17T21:46:45Z","board_verified":true,"closed_at":null,"days_open":95,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":95},"description":"About LoopMe\nLoopMe is an AI company solving one of advertising's hardest problems: making brand advertising actually measurable - and making it perform. Our platform runs patented machine learning models across billions of consumer signals in real time, optimising campaigns toward outcomes like purchase intent, brand lift, and foot traffic rather than proxy metrics like clicks. The result is 2-5x better performance than industry benchmarks, at scale.\nWe operate a high-load programmatic infrastructure - processing millions of ad requests per second with sub-200ms response times globally. This isn't a layer on top of someone else's stack; it's built from the ground up, in-house, by the team you'd be joining. Founded in 2012 and headquartered in London, we now have 400+ people across 19 cities and have sustained 40% revenue CAGR since 2018. The engineering problems here are real, the ownership is genuine, and the scale is significant.\nThe opportunity\nAs AVP Data Science, you will work on projects drawn from LoopMe's data science roadmap, spanning production ML in our real-time ad platform, experimentation and measurement, and AI products for the wider business. This is a senior leadership role: part technical owner, part product owner, part commercial partner. You will work directly with commercial, clients, operations, product and engineering teams, and report progress and impact to senior leadership. The wider Data Science team - led by Chief Data Scientist Dr Leonard Newnham - operates as a single team across London, Poland, and Ukraine, with a track record of publishing award-winning research in automated bidding. This role reports to the Chief Data Scientist.\nWhat you'll do\nOwn a defined slice of the AI roadmap end to end - modelling strategy, release planning, measurement and production performance. Projects may include: Experimentation Platform, Inbound Throttling for our Ad Exchange and Developing AI agents for applications across the business.\nOwn the full product lifecycle for AI products, from opportunity identification through launch, monitoring and iteration.\nPartner with commercial teams and clients to understand their needs and coordinate releases with technical and non-technical stakeholders.\nPartner with operations teams to embed AI products safely and measurably into day-to-day business processes.\nEstablish clear, evidence-led reporting on progress, risks and measurable commercial impact for senior leadership.\nDevelop practical business recommendations by turning ambiguous commercial problems into testable data science questions.\nManage technical quality by reviewing model logic, system design and code where needed.\nWhat you'll bring\nEssential\nStrong commercial experience in data science, machine learning or applied AI, ideally including production systems at significant scale in an adtech environment.\nA track record of owning AI/ML products end to end, from initial idea through production release and measured business impact\nDeep understanding of experimentation, causal measurement, model monitoring and the practical realities of production ML\nStrong Python, SQL and data engineering literacy, with the ability to go deep technically when required.\nNice to have\nExperience with adtech, real-time bidding, DSPs, SSPs, throttling, pacing or auction systems\nExcellent communication skills, able to explain complex technical systems to commercial, operations and senior leadership teams.\nExperience with Google Cloud, Docker, Kafka, Spark, Airflow, ElasticSearch, ClickHouse or similar production infrastructure\nExperience owning product roadmaps, release governance or cross-functional delivery across distributed teams and time zones.\nExperience leading, coaching or managing data scientists, ML engineers or closely related technical teams.\nWhat we can offer\nBonus\nHybrid working; meaning you'll spend 3 days a week in our Farringdon office\n25 days annual leave, plus the Bank Holidays\n1 month work-from-anywhere\nAnnual Wellness Day\nHealth Shield; a cash-back health plan for things like dental, optical, physio and wellbeing\nAccess to Thrive; accessible mental health support all in one app\nCycle to work scheme\nPension\nLoopMe Gives Back Day\nLearning & development support, including internal mobility and bi-annual promotion cycles\nTo apply\nLoopMe does not accept speculative agency submissions. 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