Data Scientist / Data Analyst:
Location: More London Place, London, SE1
Marketing Sciences (MSC) is a specialised unit within Kantar TNS which provides support, consultancy and specialist knowledge on quantitative research methods, statistical analysis and data science. MSC work is spread across structured survey data analytics, social media / digital unstructured data analytics, and the fusion of survey and other data sources like transactional data. MSC is responsible for developing custom solutions utilising a wide range of multivariate techniques, including various types of modelling as well as more specialised market research techniques such as segmentation, market strategy, brand experience and pricing. The MSC also has a key role in solution development especially in the area of social / digital unstructured data analysis and text mining. The team contributes actively towards thought leadership within Kantar TNS UK and on industry platforms.
To assist in the design of research studies and to analyse and interpret the output, recommend appropriate analysis techniques and explain them clearly to researchers and clients. Provide input to sales proposals and participate in client presentations and workshops when required. The work would mainly cover structured survey data analytics but with scope to extend to unstructured digital / social media data too.
The role will require working closely with market researchers, clients and experienced directors within the MSC to design and develop analytic solutions that produce added insight. The role requires a flexible approach to work with an ability to manage several tasks concurrently, work under pressure, and react positively as requirements change and develop.
We are looking for someone with 3-5 years experience of undertaking data analysis in a marketing analytics / consumer insights environment (desirable would be to have this experience in a market research agency environment). Not only does the candidate need strong technical skills to implement analytical techniques with accuracy but also be able to interpret and present information with clarity and passion.
Experience and skills required
Understanding of multivariate statistical techniques, such as Factor analysis, cluster analysis, regression analysis, ANOVA etc.
Data analysis skills using statistical software, e.g. SAS / SPSS / R
Numerate / analytical degree
Excellent communication skills and experience of presenting complex technical information to a non-technical audience
Ability and willingness to take ownership and responsibility for tasks within remit
A desire for continued professional development evidenced by keeping abreast of the latest techniques and software
Higher degree in a related field (e.g. MSc Statistics / Data Science)
Willingness to write papers for publication and/or presentation would be a distinct advantage
Creativity in approach to problem solving
TNS is an equal opportunities employer.
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