AVP Data Science
At a glance
Mid-level Data Science role at LoopMe. London · no salary stated · we estimate £62,250–£94,375.
LoopMe has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Lead a portion of the AI roadmap, setting modelling direction and planning releases, measurement and production performance
- Take AI products from identifying an opportunity through launch, monitoring and ongoing improvements
- Translate client and commercial needs into coordinated releases, working with technical and non-technical partners
- Help operations teams incorporate AI products into daily work with clear safeguards and measurable results
- Turn unclear business challenges into testable data science questions and report progress, risks and commercial impact to senior leaders
What you bring
- Substantial commercial work in data science, machine learning or applied AI, ideally with large-scale production systems in adtech
- A record of taking AI or ML products from an initial concept to production and measurable business results
- Strong command of experimentation, causal measurement, model monitoring and production machine learning
- Strong Python and SQL skills, plus enough data engineering knowledge to engage deeply with technical work
Who this fits
This senior leadership role suits someone who can take technical ownership while working with product, commercial and operations partners. You’ll report to the Chief Data Scientist and work with a data science team spanning London, Poland and Ukraine. The role is based in London, with three days each week in the Farringdon office.
From the employer
About LoopMe
LoopMe 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.
We 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.
The opportunity
As 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.
What you'll do
- Own 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.
- 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.
What you'll bring
Essential
- 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
- 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.
- Experience leading, coaching or managing data scientists, ML engineers or closely related technical teams.
What we can offer
- 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
To apply
LoopMe does not accept speculative agency submissions. To apply, please use the button below.
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