Junior Data Scientist - Marketing Mix Modelling

Hasson Associates Recruitment Ltd ,
London, Greater London
Job Type: Full-time
Salary: £30,000 per annum

Overview

Junior Data Scientist - Marketing Mix Modelling £30,000 to £40,000 This is a great opportunity for a talented analyst with marketing mix modelling experience to join this well-established independent tech consultancy with an impressive portfolio of international clients. Here you will be joining a talented team of analysts, programmers and researchers who build predictive models and develop in-depth insights utilising advanced multivariate statistical analysis techniques including, but not limited to: clustering, segmentation, conjoint, choice modelling to provide marketing insights to a wide range of clients. As a marketing scientist, you will assist with research design and be responsible for analysing data from a range of sources including survey, social media, marketing databases, transactional and attitudinal etc. You will be client-facing and will play a key role in helping clients to make insightful and intelligent business decisions. The ideal candidate will have the following software skills: Highly Proficient in statistical techniques Good Excel skills including VBA (Desirable), VLookups R or Python Marketing Mix Modelling and ecometrics Practical experience will including running analysis and predictive models such as: Linear or Logistic Regression (essential) Structural Equation Modelling (SEM)- (desirable) Factor analysis, decision, trees, Discrete Choice/ Conjoint MaxDiff models (desirable) Time Series and Econometrics models (desirable) To be successful in this role you will have a degree with high mathematical content and have gained data analysis experience, in a research environment, and have the ability to program in at least one stats software language. You will have an interest in research and its application to business challenges and be excited by a true challenge. If you love all things data, please get in touch to find out more