Own LoopMe's 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.

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.
Nice to have: 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.

Bonus
Hybrid working; meaning you'll spend 3 days a week in our Farringdon office
25 days annual leave, plus the Bank Holidays
1 month work-from-anywhere
Annual Wellness Day
Health Shield; a cash-back health plan for things like dental, optical, physio and wellbeing
Access to Thrive; accessible mental health support all in one app
Cycle to work scheme
Pension
LoopMe Gives Back Day
Learning & development support, including internal mobility and bi-annual promotion cycles

AVP, Data Science

Key skills