Overview
We are seeking an experienced Data Scientist to join our team in a hybrid working arrangement. The contractor will focus on transforming machine learning capabilities from prototype stages to production, working closely with commercial teams to drive actionable insights from data. This role demands a hands-on approach rather than a research-oriented mindset, focusing on real-world data application in B2B sales environments.
Responsibilities
- Define clean, modelling-ready datasets and build robust validation around them.
- Train and optimise models across multiple B2B datasets, including ranking and weighting.
- Build scoring outputs, reporting and visualisations that commercial teams can act on.
- Retrain, test and refine models against live data as volumes scale.
- Work closely with CRM and SDR teams to embed outputs into day-to-day processes.
- Help establish the processes and infrastructure needed to make ML repeatable and scalable.
Requirements
- Proven commercial track record taking ML models from prototype through to production.
- Strong experience with Google Cloud Platform, BigQuery and Vertex AI.
- Strong Python and SQL skills.
- Experience in feature engineering, statistical validation and model evaluation.
- Comfortable working with messy, imperfect real-world data rather than clean benchmark datasets.
- Able to explain model outputs clearly to both technical and commercial audiences.
- Experience with B2B sales, outbound, CRM or conversation intelligence data is a plus, but not essential.