Data Scientist

Role Requirements
We are seeking a pragmatic and skilled Data Scientist to join The Product Counsel team, working remotely with a preference for candidates based in London or Cambridge. In this role, you'll harness the power of vast advertising datasets to develop, evaluate, and deploy machine learning models that drive real business impact. You'll collaborate closely with a dedicated data engineer, allowing you to focus on modelling, mathematics, and delivering actionable insights—but if you’re eager to get hands-on across the stack, we encourage and support that, too!
What You’ll Do
Analyze large-scale advertising datasets to uncover trends, patterns, and actionable insights
Select, train, and evaluate machine learning models tailored to business and performance outcomes
Leverage Python (and PyTorch) in notebooks to extract, explore, and model data
Collaborate with engineers to hand off models and support production deployment
Translate model outputs into clear, actionable business intelligence for stakeholders
Optionally: Get hands-on with data engineering tasks (pipelines, ETL, infrastructure) if desired
What We’re Looking For
Strong background in data science, statistics, and machine learning
Hands-on experience with Python and PyTorch
Proficient with large datasets, ideally on GCP (Google Cloud Platform) and BigQuery
Comfortable working in notebooks and writing reproducible, clear code
Experience with advertising or marketing data (ideal, but not required)
Experience working at an SSP (Supply Side Platform), DSP (Demand Side Platform), or DMP (Data Management Platform) is highly desirable. These platforms are integral to the digital advertising ecosystem, enabling automated buying, selling, and management of ad inventory and data
Bonus: Data engineering skills (pipelines, infrastructure, ETL) and an interest in using them
Able to work independently and communicate complex ideas clearly to both technical and non-technical audiences
Location & Benefits
Remote role with a preference for candidates based in London or Cambridge
Flexible working hours and a collaborative, supportive team culture
Opportunity to work on impactful, high-visibility projects in the advertising technology space

Work arrangement
Yes