Senior Data Scientist

Overview

Senior Data Scientist (Contract) – Applied ML | AI | Optimisation Remote | UK/EU Time Zones | B2B/Outside IR35 *One-stage Interviews are taking place next week We’re hiring a Senior Data Scientist for a long-term contract with a scaling digital platform that’s investing heavily in its data and AI capability. This is a hands-on, applied ML role where you’ll work on production-grade models that directly influence pricing, forecasting, and commercial performance. It’s a small, high-impact environment that values ownership, autonomy, and real-world delivery. You’ll Be Working On: Maintaining and improving a suite of production ML models currently in use across multiple products Developing new models focused on pricing optimisation, lead forecasting, and customer behaviour Contributing to new AI-driven initiatives, including text and sentiment analysis Collaborating closely with Data Engineering and BI to deliver robust, end-to-end ML pipelines and model monitoring Tech Environment: Python (pandas, scikit-learn, modern ML frameworks) SQL for analysis and model input preparation Cloud environment (AWS / GCP / Azure) Exposure to NLP, MLOps, or CI/CD pipelines is a plus What We’re Looking For: Experienced Senior Data Scientist with a proven applied ML background Confident in owning end-to-end model development and optimisation Naturally collaborative, but comfortable working independently when needed Curious, pragmatic, and focused on delivering measurable value rather than research for its own sake Key Points 6-month contract (extensions likely) Remote – UK or EU time zones Start date: ASAP Streamlined interview process This is a fantastic opportunity for a hands-on data scientist who wants to build meaningful models, solve real-world problems, and shape the next phase of AI-driven innovation within a fast-moving digital business. If this sounds like your kind of project, please apply!

Responsibilities

• Maintain and enhance a suite of production ML models across multiple products.
• Develop new models emphasizing pricing optimization, lead forecasting, and customer behavior.
• Contribute to AI-driven initiatives, including text and sentiment analysis.
• Collaborate with Data Engineering and BI to build end-to-end ML pipelines and ensure model monitoring.

Requirements

• Proven experience as a Senior Data Scientist with a strong background in applied machine learning.
• Expertise in end-to-end model development and optimization.
• Proficiency in Python (pandas, scikit-learn) and SQL.
• Experience in cloud environments (AWS, GCP, Azure) is preferred.
• Familiarity with NLP, MLOps, or CI/CD pipelines is a plus.
• Strong problem-solving skills and a focus on delivering measurable value.