skip to job profile
skip to job details
Career Opportunities at Queen's
My applications
My profile
Contact us
Unfortunately, this vacancy has now closed. Other suitable opportunities may be available, please use the 'Search for jobs' page to see a list of our current vacancies.
Job details
Job details
Job reference
19/107860
Date posted
23/09/2019
Application closing date
14/10/2019
Salary
£24,000 - £28,000 per annum. One of the key KTP benefits for graduates is access to a £8,500 training and travel budget over the 17 month project.
Job category/type
KTP
Attachments
Blank
Data Scientist - KTP Associate - Limitless Insight
Job description
Queen's University Belfast is one of the leading universities in the UK and Ireland, with a distinguished heritage and history. With over 24,000 students, 4,200 staff and an annual turnover of some GBP 300m, Queen's University Belfast plays a unique leadership role in Northern Ireland. As a member of the Russell Group of UK research-intensive universities,
Queen's University Belfast combines excellence in research and education with a student centred ethos.
Belfast based company, Limitless Insight, is developing an innovative, prescriptive analytics platform targeted at the retail sector. The company has already developed the first part of this platform to give retailers general information on their customers and working in partnership with Queen's University Belfast through a the KTP programme, they are now moving on to the second stage of development.
Bricks and mortar retailers are struggling to gain insights into customers' in-store behaviour, in the way that online retailers can from a customer's browsing activity, making it difficult to target promotions based on anything other than a retrospective analysis of purchases, placing physical stores at a disadvantage to online traders. The KTP Associate will develop a prescriptive analytics platform to allow retailers to determine customer location within a store, facilitating the delivery of real time offers that are personalised and relevant to customers.
The successful candidate must have:
*
A
t least a 2.1 Honours degree (or equivalent) in Mathematics, Statistics, Computer Science or a related subject. Candidates who hold, or are about to obtain a 2.2 in the above in addition to either a relevant higher degree or one year's relevant experience will also be considered.
*
Relevant experience of modelling and solving computer science, mathematics, statistics or engineering problems. (may be demonstrated through a suitable module or project)
*
Experience of working with statistical and dynamic programming languages (eg. R, Python and SAS/Stata or a closely related language).
Candidate Information
About the Company
Information for International Applicants
Note to EEA Applicants on Brexit
Job title
Data Scientist - KTP Associate - Limitless Insight
Job reference
19/107860
Date posted
23/09/2019
Application closing date
14/10/2019
Salary
£24,000 - £28,000 per annum. One of the key KTP benefits for graduates is access to a £8,500 training and travel budget over the 17 month project.
Job category/type
KTP
Attachments
Blank
Job description
Queen's University Belfast is one of the leading universities in the UK and Ireland, with a distinguished heritage and history. With over 24,000 students, 4,200 staff and an annual turnover of some GBP 300m, Queen's University Belfast plays a unique leadership role in Northern Ireland. As a member of the Russell Group of UK research-intensive universities,
Queen's University Belfast combines excellence in research and education with a student centred ethos.
Belfast based company, Limitless Insight, is developing an innovative, prescriptive analytics platform targeted at the retail sector. The company has already developed the first part of this platform to give retailers general information on their customers and working in partnership with Queen's University Belfast through a the KTP programme, they are now moving on to the second stage of development.
Bricks and mortar retailers are struggling to gain insights into customers' in-store behaviour, in the way that online retailers can from a customer's browsing activity, making it difficult to target promotions based on anything other than a retrospective analysis of purchases, placing physical stores at a disadvantage to online traders. The KTP Associate will develop a prescriptive analytics platform to allow retailers to determine customer location within a store, facilitating the delivery of real time offers that are personalised and relevant to customers.
The successful candidate must have:
*
A
t least a 2.1 Honours degree (or equivalent) in Mathematics, Statistics, Computer Science or a related subject. Candidates who hold, or are about to obtain a 2.2 in the above in addition to either a relevant higher degree or one year's relevant experience will also be considered.
*
Relevant experience of modelling and solving computer science, mathematics, statistics or engineering problems. (may be demonstrated through a suitable module or project)
*
Experience of working with statistical and dynamic programming languages (eg. R, Python and SAS/Stata or a closely related language).
Candidate Information
About the Company
Information for International Applicants
Note to EEA Applicants on Brexit