Data Scientist

The Product Counsel; Cambridge; Remote; GBP 60.000 - 90.000; Vollzeit

Benefits dieser Stelle

Flexible working hours

Zusammenfassung

The Product Counsel is seeking a pragmatic Data Scientist to join a remote-friendly team, preferably based in London or Cambridge. You will analyze vast advertising datasets, build and deploy ML models, and deliver actionable insights to drive business impact.

You’ll collaborate with a data engineer, focus on modelling and statistics, and have opportunities to contribute across the stack if desired, including data pipelines and ETL tasks.

Qualifikationen

• Strong background in data science, statistics and ML.
• Hands-on Python and PyTorch experience.
• Experience with large datasets and cloud platforms (GCP/BigQuery).
• Ability to communicate complex ideas to both technical and non-technical audiences.

Aufgaben

• Analyze large-scale advertising datasets to uncover insights.
• Select, train, and evaluate ML models for business outcomes.
• Leverage Python and PyTorch in notebooks to model data.
• Collaborate with engineers to deploy models in production.
• Translate outputs into clear business intelligence; contribute to data pipelines if desired.

Kenntnisse

Data science

Statistics

Machine learning

Communication

Tools

Python

PyTorch

BigQuery

GCP

Notebooks

ETL

Jobbeschreibung

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