Ref
TAN009
Sector
A.I, Advertising & Branding, Brand & Comms, Data Science/Analytics
Salary
£70,000 to £80,000 Per Annum
Town/City
London
Contract Type
Permanent
Date Posted
12/01/2021
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Marketing Scientist £70-80,000 London
Our client has a fantastic new opportunity for a highly skilled Marketing Scientist looking to develop their career in a technology and automation environment, as it continues to re-shape the industry.
Since its inception 7 years ago, our client has been at the vanguard of better automated research. In order to continue to drive this, they need talented research professionals working and growing within the business. Their internal research team injects quality thinking into the products and platform solutions they offer to their users.
The role
You would join a small but crucial internal Research team that touches almost all teams and work streams around the business, from software development, to UX design, to project execution, to marketing and sales.
The role will be varied - no two days will be the same - but it will have particular focus in the following areas:
Working with their Research, Data Science and account teams to drive the design and prototyping of new research products and platform solutions
Using their platforms as well as other statistical packages to build and test data models for products, as well as platform upgrades e.g. weighting schemes
Validating that the automated solutions that you help design are delivering insight as intended
Making a significant contribution to the thinking and execution of prediction work across the platform
Lubricating everyday decision making across the business by consulting on research and methodological matters, drawing on the experience you have amassed to date and the support of others in the team
The right candidate will be:
Educated to degree level or equivalent in Statistics, Advanced Analytics, Data Science or a related subject.
Have a strong appreciation for which analytic techniques to use in which situation, and be able to communicate to colleagues the value of those techniques.
Maintain a strong working knowledge of statistical analysis techniques, both current and emerging.
