Data Scientist

Data Scientist / Modelling Contractor (Outside IR35) Remote 3 months £400 a day Start: ASAP The Role data scientist / statistician / modeller with a background in statistical modelling and machine learning. You'll work closely with a senior modeller on regression models, econometric-style modelling, brand-health metrics, and the connections between marketing signals and sales. This role directly contributes to the creation of the Minimum Viable Product, helping build the mathematical foundations of the brand-measurement engine. Responsibilities • Build and support regression models, mathematical models, and brand-health measurement metrics under the guidance of a senior modeller. • Work with marketing-relateddatasets including: • paid social and paid media metrics • sentiment and brand resonance • purchase intent signals • weekly/monthly sales data • distribution, pricing, promotion data • Assist in connecting brand metrics to commercial sales outcomes. • Work with AWS-hosted data environments (S3, Aurora) alongside engineers. • Develop models that emulate marketing/econometric approaches in a more accessible and scalable way. • Contribute to building the MVP alongside data engineers, AI specialists, and product leadership. • Operate pragmatically in a small, high-velocity startup. Required Skills & Background • Degree in Statistics, Mathematics, Data Science, or similar. • 2-3+ years of experience building statistical or ML models (ideal for someone entering contracting). • Strong skills in: • Regression modelling • Mathematical modelling • Machine Learning fundamentals • Bayesian modelling • Proficiency in Python and/or R. • Understanding of marketing or brand metrics is highly beneficial. • Experience with econometric-style models (e.g., MMM) is a plus, not mandatory. • Comfort working with APIs and third-party marketing data sources. Nice to Have • Exposure to marketing measurement, econometrics, or brand-tracking datasets. • Worked with platforms like Brandwatch or similar sentiment/marketing data providers. • Experience in early-stage product builds.