|Salary:||£50,000 to £60,000 per annum depending on qualifications and experience|
|Placed On:||9th November 2018|
|Closes:||1st January 2019|
An exciting opportunity to participate in a Knowledge Transfer Partnership (KTP) between the University of Reading and Focaldata Ltd. The 24 month fixed term contract is to research and apply the latest computational methods in Bayesian statistics to build a state of the art data analytics pipeline, enabling a new type of market research company to be built.
We came together united around a simple mission; that critical decisions, be that in government or business, should be driven by accurate and reliable information.
Coming from Entrepreneur First, Google, and Cambridge and Warwick PhDs, we’ve built a new type of market research company, which applies the latest methods in computational statistics to survey data. We are committed to user-centric software design, and care deeply about our customers and the public.
This position forms part of the Knowledge Transfer Partnership (KTP) funded by Innovate UK. It’s essential you understand how KTP works with business and the University, and the vital role you will play if you successfully secure a KTP Associate position.
What you will do:
This KTP position offers a unique opportunity to work alongside academics from the University of Reading and Focaldata’s Chief Data Scientist.
You will research how to improve our Bayesian Insight engine, which primarily uses MRP, to estimate public opinion better. This research involves the development of novel methods in Bayesian statistics and machine learning, analysis on various datasets, and implementation of statistical models into production.
The position combines academic research with commercial focus. The candidate is expected to publish papers and also work in a commercial environment with real-world clients.
You should have:
The advert will run for a minimum of 28 days with initial telephone screening. Successful candidates will be invited to Reading/London to attend face to face interviews. The advert will be withdrawn upon successful appointment to the role.
Closing date: 1st Jan 2019
Type / Role: