4 of 4 Econometrics Jobs in Central London

Senior/Principal Econometrics Consultant £60,000-£90,000 Depending on Experience MBN solutions has partnered with an independent Econometrics Consultancy in search for several Econometrics and MMM professionals to join their team at several levels of seniority. 🌟 About Us: Based in London, they work with global brands across luxury retail, online gaming, streaming platforms, TV, electronics, and FMCG. They … and driving client success. Attend client meetings and eventually transition to a hybrid work model (2 days in-office, London). 🔑 What We're Looking For: Proven experience in econometrics and data analysis using tools like R or Python. Exceptional communication skills to translate complex insights into clear, actionable advice. Strong project management skills and a knack for relationship building. More ❯

Senior Data Scientist - Econometrics & Advanced Attribution Location: London/Hybrid - UK remote a possible option Type: Full-Time/Permanent Salary: Negotiable DoE £70,000 - £100,000 plus good bonus Job Reference: J12971 About the Company Our client are a fast-growing Data Science, Machine Learning, and AI Consultancy supporting some of the UK and Europe's leading private equity … modelling engagements to the development of scalable AI-enabled solutions across marketing, operations, and investment analytics. The Role They are seeking a Senior Data Scientist with deep expertise in econometrics and advanced attribution modelling to lead a flagship client engagement with one of the world's most prominent education businesses. This individual will take end-to-end ownership of Marketing More ❯

such as PowerBI) to enhance user accessibility to quantitative insights and reports Requirements & Qualifications Bachelor’s or Master’s degree in a quantitative discipline such as Mathematics, Physics, Statistics, Econometrics, or Quantitative Finance. 2–5 years of hands-on experience as a quant developer or analyst within a financial institution. Demonstrable Python experience in a collaborative, version-controlled production environment. More ❯

and uncover deeper insights. Your Experience and Skills: Data Science: Proficient in programming languages like Python, R, and SQL including data manipulation, data imputation, statistical modelling, and visualisation libraries. Econometrics Background Useful: Expertise in statistical methods like linear regression, generalised linear models, panel data analysis, and time series forecasting. Media Industry Knowledge: Understanding of media landscape, ad formats, audience measurement More ❯