Help us push AI further — and faster
LoopMe’s Data Science team builds production AI that powers real-time decisions for campaigns seen by hundreds of millions of people every day. We process billions of data points daily — and we don’t just re-apply old tricks. We design and deploy genuinely novel machine learning systems, from idea to prototype to production.
You’ll join a high-trust team that has a 5-star Glassdoor rating led by Leonard Newnham, where your work moves fast, ships to production, and makes measurable impact.
What you’ll do:
- Design, build, and run large-scale ML pipelines that process terabytes of data
- Apply a mix of supervised learning, custom algorithms, and statistical modelling to real-world problems
- Ship production-grade Python code that’s clear, documented, and tested
- Work in small, agile squads (3–4 people) with DS, ML, and engineering peers
- Partner with product and engineering to take models from idea → production → impact
- Work with Google Cloud, Docker, Kafka, Spark, Airflow, ElasticSearch, ClickHouse and more
What you bring:
- Bachelor’s degree in Computer Science, Maths, Engineering, Physics or similar (MSc/PhD a plus)
- 4+ years’ commercial Python experience
- Track record building ML pipelines that handle large-scale data
- Excellent communication skills — comfortable working across time zones
- A curious, scientific mindset — you ask “why?” and prove the answer
Bonus if you have:
- Experience with adtech or real-time bidding
- Agile / Scrum experience
- Knowledge of high-availability infrastructure (ElasticSearch, Kafka, ClickHouse)
- Airflow expertise
About the Data Science Team:
We’re 17 ML engineers, data scientists, and data engineers, distributed across London, Poland, and Ukraine — acting as one team, not a satellite office.
What sets us apart:
- Led by an experienced Chief Data Scientist who codes, leads, and listens
- Inclusive, supportive culture where ideas are heard and people stay
- Strong values: open communication, continual innovation, fair treatment, and high standards
- Track record of publishing award-winning research in automated bidding
Don’t just take our word for it — check our Glassdoor reviews (search “Data Scientist”) for a real view of the culture.
About LoopMe:
LoopMe was founded to close the loop on brand advertising. Our platform combines AI, mobile data, and attribution to deliver measurable brand outcomes — from purchase intent to foot traffic. Founded in 2012, we now have offices in New York, London, Chicago, LA, Dnipro, Singapore, Beijing, Dubai and more.
What we offer:
- Competitive salary + bonus
- Billions of real-world data points to work with daily
- Flexible remote/hybrid options
- Learning budget and career growth support
- Friendly, transparent culture with strong leadership
Hiring process:
- Intro with Talent Partner
- 30-min technical interview with Chief Data Scientist
- Panel with 2 team members (technical, culture & collaboration)
- Offer – usually within 48 hours of final round
Are you ready to design and deploy AI systems that run at truly massive scale?
Top Skills
What We Do
LoopMe, the leading outcomes-based platform, closes the loop on digital advertising. By leveraging AI to optimise media delivery in real-time, we drive measurable uplift for business outcomes and more effective advertising across online and offline marketing goals, including brand lift, purchase intent, consideration, foot traffic and sales.
LoopMe's core business helps brands and agencies achieve better advertising results powered by our AI-platform and flagship product PurchaseLoop. LoopMe's marketplace powers more effective supply and demand connections, rooted in programmatic delivery. LoopMe's robust data and analytics measurement suite, including its proprietary household and device graph, brings deep insights to various companies within the advertising industry including podcasting, out-of-home, connected TV, mobile and more.
LoopMe was founded in 2012 with the mission to create better consumer experiences through innovation, powered by data, in order to bring people and brands together. The Company is headquartered in the UK, with 15 global offices across New York, Boston, Atlanta, Chicago, Detroit, San Francisco, Los Angeles, Toronto, Singapore, Sydney, Tokyo, Dnipro, Krakow and Hong Kong.
