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.