At a Glance
- Tasks: Lead AI products and manage a team of data scientists to optimise advertising performance.
- Company: Join LoopMe, an innovative AI company transforming brand advertising with measurable results.
- Benefits: Enjoy hybrid working, 25 days leave, wellness support, and learning opportunities.
- Other info: Collaborative environment with significant career growth and a focus on innovation.
- Why this job: Make a real impact in the adtech space with cutting-edge AI technology.
- Qualifications: Strong experience in data science and machine learning, ideally in adtech.
The predicted salary is between 70000 - 90000 £ per year.
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
You own LoopMe's AI throttling system and lead AI products across the business — a senior role combining technical ownership, product ownership, and commercial partnership. You lead a team of four within LoopMe's 17-person Data Science organisation, working directly with commercial, operations, product, and engineering teams and reporting measurable impact to the SLT. 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 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.
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
- 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.
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.
AVP Data Science employer: LoopMe
LoopMe is an exceptional employer that champions innovation and growth, offering a dynamic work culture where finance professionals can thrive. With a focus on employee development, hybrid working arrangements, and comprehensive wellness benefits, LoopMe empowers its team to drive impactful financial insights while enjoying a balanced work-life experience in the vibrant Farringdon area. Join us to be part of a high-performing team that values results and fosters personal and professional growth.
StudySmarter Expert Advice🤫
We think this is how you could land AVP Data Science
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like LoopMe!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AVP Data Science at LoopMe.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like LoopMe.
✨Apply Directly through Our Website
When you find a suitable opening like AVP Data Science at LoopMe, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace AVP Data Science
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at LoopMe, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at LoopMe. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at LoopMe
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at LoopMe!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
