User Researcher jobs in United Kingdom
Senior Applied Scientist, Knowledge Graphs & ML
PowerToFly
Remote Applied ML Researcher: Real-Time CV for Sports
Hudl
Senior Data Scientist - Credit Risk Analytics (Hybrid)
Experian Information Solutions, Inc.
Discover more opportunities than anywhere else. Find more jobs nowLead Data Scientist: Personalization & Recommender Systems
Comcast
Data Scientist
Experian Information Solutions, Inc.
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University of Leeds
Research Scientist
University of Leeds
Machine Learning Scientist
ASOS.com Ltd
Senior Quantum Chemistry & ML Research Scientist
Isomorphic Labs
Research Scientist in Quantum Chemistry and Machine Learning
Isomorphic Labs
GenAI & Agentic AI Lead Researcher
J.P. Morgan
Public Health & Labour Economics Modelling Researcher
University of Sheffield
Research Associate in Public Health and Labour Economic Modelling
University of Sheffield
Transport Data Scientist: Route Optimization & GIS
Expert Employment
Transport Data Scientist, real world logistic analysis
Expert Employment
Insurance Equity Research Associate (Flexible)
PowerToFly
Entomology Scientist: Soil Invertebrates & Lab Research
FERA SCIENCE LTD
Scientist - Entomology
FERA SCIENCE LTD
Researcher, Data-Driven Mobility & Sustainable Urban Tech
University of Derby
Data Scientist
Job summary
A leading social media company is seeking a skilled Data Scientist / Modelling Contractor with experience in statistical modelling and machine learning for a remote role lasting 3 months. You will work closely with a senior modeller on various modelling tasks including regression models and brand-health metrics, contributing directly to product development. Candidates should possess a relevant degree and have 2-3 years of experience building models, with proficiency in Python and/or R being essential.
Qualifications
- 2-3+ years of experience building statistical or ML models.
- Strong skills in regression modelling and Bayesian modelling.
- Understanding of marketing or brand metrics is highly beneficial.
Responsibilities
- Build and support regression models and brand-health measurement metrics.
- Work with marketing-related datasets including paid social and paid media metrics.
- Assist in connecting brand metrics to commercial sales outcomes.
Skills
Education
Tools
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.
- 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, weekly/monthly sales data, distribution, pricing, and promotion data.
- Assist in connecting brand metrics to commercial sales outcomes.
- Work with AWS‑hosted data environments (S3, Aurora).
- 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, 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.
- 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.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.