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Data Scientist (Contract)
Glasgow, GB现场合同制兼职
发布于 2026年9月1日
此职位以 EN 发布
Data Scientist (Contract)
Glasgow-based, hybrid working | £600–£700 per day | Outside IR35
Pursuit Marketing runs B2B outbound sales campaigns at scale.
We’re looking for an experienced Data Scientist to take an ML capability from prototype through to production. This is a hands-on delivery role, rather than a research position.
The details
- £600–£700 per day, depending on experience
- Outside IR35
- Glasgow based, with hybrid working
- Starting September 2026
- Initial 14-week contract, with potential to extend
What you’ll do
- 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
If you're a Data Scientist who enjoys taking models out of the notebook and making them work in the real world, we'd like to hear from you.
Requirements
What we’re looking for
- A 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 would be a bonus, but isn't essential.
Benefits
- £600–£700 per day, depending on experience
- Outside IR35
- Glasgow based, with hybrid working
- Starting September 2026
- Initial 14-week contract, with potential to extend
职位概览
工作类型
兼职
所需技能
Machine Learning Model ProductionizationData Wrangling and PreparationModel Training and OptimizationData VisualizationModel Retraining and RefinementCross-functional CollaborationML Process and Infrastructure DesignGoogle Cloud Platform (GCP)BigQueryVertex AIPython ProgrammingSQL ProgrammingFeature EngineeringStatistical ValidationModel Evaluation
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