A.I, Advertising & Branding, Data Science/Analytics, Quantitative
£40,000 to £50,000 Per Annum
Research Architect – Analyst, London 40-50,000
Our client has a fantastic new opportunity for an enthusiastic and talented mid level researcher with a passion for the nuts and bolts of quantitative research methodology, a flair for digging deep into datasets, and an interest in developing their career in a technology and automation environment.
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.
You will be working in a fast-moving environment with some extremely smart people changing the market research industry as you know it.
You will be putting yourself in the minds of research buyers and making automation easy for them. You will be finding out about machine learning, artificial intelligence and user experience design.
And you will be having a great time!
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 is diverse - no two days are the same - but will have particular focus on:
- 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
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.