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Data Scientist - World Class Media Research Agency


Location: Central London
Salary: Highly Competitive Salary & Package
Job type: Permanent
Reference: 149489


Whether you’re in the first flush of your postgraduate commercial data science career or have already established yourself in this area, this role is a lovely opportunity to get your teeth stuck into a huge variety of projects covering the media and related industries. You will flourish in this booming area without the unrelenting pressure of the tech giants as this global market research agency has achieved the nirvana of providing both a highly inventive and nurturing environment.

All projects are bespoke and complex, providing a refreshing variety of intellectual and technical challenges. Television, radio, print, online, outdoor, mobile, entertainment, music, telecoms and technology sectors have embraced the phenomenal power of Big Data more than most and as such this specialist unit has seen unprecedented demand for their services, as reflected in the team’s growth and the expansion of their client base globally.

As well as being hands on with the advanced analytics, they will be looking to you to seek out and develop new capabilities across the space, embracing all areas such as Big Data, passive measurement technologies, complex modelling, data visualisation, data integration and calibration methodologies.

As this is a new role, the client is open to level. Ideally you will be confident with programming in R statistical computing environment (if not R, then Python) and specific experience in probability theory and linear algorithms would be highly valued.

As one of the largest and best known research companies in the world, the opportunities and support to develop and extend your skills and specialist industry knowledge are limitless, enabling you to thrive in an inclusive yet empowering environment with a refreshing openness to flexible working options. There are lots of bright people to collaborate with and opportunities waiting to be seized.


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