AVP Data Science

Salary: £37,000 - 77,000 per year

Requirements:

• Strong commercial experience in data science, machine learning or applied AI, ideally including production systems at significant scale in an adtech environment.
• A track record of owning AI/ML products end to end, from initial idea through production release and measured business impact.
• Experience leading, coaching or managing data scientists, ML engineers or closely related technical teams.
• Deep understanding of experimentation, causal measurement, model monitoring and the practical realities of production ML.
• Strong Python, SQL and data engineering literacy, with the ability to go deep technically when required.
• Experience with adtech, real-time bidding, DSPs, SSPs, throttling, pacing or auction systems.
• Excellent communication skills, able to explain complex technical systems to commercial, operations and senior leadership teams.
• Experience with Google Cloud, Docker, Kafka, Spark, Airflow, ElasticSearch, ClickHouse or similar production infrastructure.
• Experience owning product roadmaps, release governance or cross-functional delivery across distributed teams and time zones.

Responsibilities:

• Own our AI throttling system end to end, covering roadmap, modelling strategy, release planning, measurement and production performance.
• Lead and develop a team of four data scientists and ML engineers, setting priorities and maintaining high technical standards.
• Own the full product lifecycle for AI products, from opportunity identification through launch, monitoring and iteration.
• Partner with commercial teams and clients to understand their needs and coordinate releases with technical and non-technical stakeholders.
• Partner with operations teams to embed AI products safely and measurably into day-to-day business processes.
• Establish clear, evidence-led reporting on progress, risks and measurable commercial impact for senior leadership.
• Develop practical business recommendations by turning ambiguous commercial problems into testable data science questions.
• Manage technical quality by reviewing model logic, system design and code where needed.

Technologies:

• AI
• Airflow
• ClickHouse
• Cloud
• Docker
• ElasticSearch
• Support
• Kafka
• Machine Learning
• Python
• SQL
• Spark

More:

We are LoopMe, an AI company solving one of advertisings hardest problems: making brand advertising measurable and performant. Our platform uses patented machine learning models across billions of consumer signals in real time to optimise campaigns toward outcomes like purchase intent, brand lift and foot traffic. We operate a high-load programmatic infrastructure processing millions of ad requests per second with sub-200ms response times globally. Founded in 2012 and headquartered in London, we have 400+ people across 19 cities and have sustained 40% revenue CAGR since 2018. This senior role sits within our 17-person Data Science organisation, led by our Chief Data Scientist, and reports to that leader while working closely with commercial, operations, product and engineering teams. We offer bonus, hybrid working with 3 days a week in our Farringdon office, 25 days annual leave plus Bank Holidays, 1 month work-from-anywhere, an Annual Wellness Day, Health Shield cash-back health plan, Thrive mental health support, cycle to work scheme, pension, LoopMe Gives Back Day, and learning and development support including internal mobility and bi-annual promotion cycles.

last updated 40 week of 2026