Data Scientist
Posted Today by Harnham
£400 Per day
Outside
Remote
London, England, United Kingdom
Summary: The Data Scientist / Modelling Contractor role involves working remotely for a duration of 3 months, focusing on statistical modelling and machine learning. The position requires collaboration with a senior modeller to develop regression models and brand-health metrics, contributing to the Minimum Viable Product of a brand-measurement engine. Candidates should possess a strong background in statistics and experience with marketing-related datasets.
Key Responsibilities:
- Build and support regression models, mathematical models, and brand-health measurement metrics under the guidance of a senior modeller.
- Work with marketing-related datasets including paid social and paid media metrics, sentiment and brand resonance, purchase intent signals, and sales 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.
Key Skills:
- Degree in Statistics, Mathematics, Data Science, or similar.
- 2-3+ years of experience building statistical or ML models.
- Strong skills in regression modelling, mathematical modelling, and machine learning fundamentals.
- 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.
Salary (Rate): £400 daily
City: London
Country: United Kingdom
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: Mid-Level
Industry: IT
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.