• Marketing Scientist

    Job Locations UK-London
    Posted Date 1 week ago(1/11/2019 11:09 AM)
    Job ID
  • Overview

    Hall & Partners helps clients build brand relationships that matter enabling our clients to understand people, helping them to build commercially and emotionally rewarding relationships. This helps people get the brands, products and services they deserve.


    Our teams manage a wide range of qualitative and quantitative domestic and international projects for an enviable list of high profile clients across a wide range of categories; everyone works on a mix of clients and markets. 


    Our work is brand and communications focused and we are growing our capabilities more broadly to offer a variety of solutions for our client's issues. One of these growing capabilities is using social media data to complement other sources of data to help inform our client's strategy.


    The Modellers team uses predictive models and other statistical methods (multivariate techniques, clustering/segmentation, conjoint/choice modelling) to provide strategic marketing insights to our wide range of clients. However, the job goes beyond that, as our statisticians consult with the client services team, programmers, project managers and external clients.


    As a Marketing Scientist within The Modellers, you will assist with research design and will be responsible for analysing data from experiments, surveys, and other sources. You will be client-facing and will have the opportunity to not just run models but help shape the research methodology and impact our client’s business decisions.


    Excellent communication skills. Our analysts work with both internal teams and external clients via e-mail, phone calls and face to face workshops. Our Marketing Scientists review and contribute to proposals, survey design and report writing and presentations.


    Proficiency with statistical software such as:

    • SPSS (essential)
    • MS Office including advanced Excel including LOOKUPs (essential) and VBA (desirable; essential for senior role)
    • R (desirable)
    • SAS, SQL, Python (not essential)
    • Other tools e.g. eViews, AMOS, SmartPLS


    Practical experience running analyses and predictive models such as

    • Linear or logistic regression (essential)
    • Structural Equation Modelling (SEM): (desirable)
    • Other key driver methods e.g. Shapley, Kruskal, Elastic Net (desirable)
    • Factor analysis (desirable; essential for senior role)
    • Decision trees (desirable; essential for senior role)
    • Discrete choice / conjoint / MaxDiff models (desirable)
    • Segmentation & discriminant analysis (desirable)
    • Time series / econometric models (desirable)


    Relevant qualifications will include a Bachelors and / or Masters degree in statistics, economics, or other quantitative area background.


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