Classic KTP Vacancy advertisement details

Reference: 3871/1

Location: Newry/Belfast, Down/Antrim, BT34 1QH
Salary: £25,000 - £35,700 per annum
Qualification required: Computer Science/Statistics/Maths/Data Analytics
Closing Date: 28 April 2019
KTP Advert Ref: 3871/1
An exciting opportunity to work as a Knowledge Transfer Partnership (KTP) Associate has arisen as part of a 24-month KTP with Queen’s University Belfast and Péarlaí Ltd. This project offers a skilled and motivated graduate the opportunity to take on research challenges in the application of advanced analytics to enhance business value and understanding of consumer behaviour.
Skills required: Qualifications we require:
Hold, or be about to obtain in July 2019, at least a 2.1 Honours degree (or equivalent) in Computer Science, Applied Statistics, Mathematics, Data Analytics or a closely related discipline.

Essential skills we require as a minimum:
At least 3 months’ relevant work or research experience* in data science, in at least one of the following areas:
- advanced statistical analysis
- machine learning and AI
- predictive analytics
- natural language processing
- advanced data visualisation.
Proficiency in one or more programming languages commonly used in data science and AI such as R or Python or equivalent.
*may be demonstrated through a suitable module or student project or placement

It’s desirable that the successful candidate has…
At least 1 years relevant work experience
Experience of SQL and database design/data warehousing.
Experience of AWS or other cloud based technologies.
Experience of managing a significant data analytics project over its life-cycle
Experience of proximity marketing via technology based solutions
Proficiency with common data science and machine learning libraries and packages.
Proficiency with one or more relevant common GUI data science tools.
Proficiency with data visualisation tools or libraries.
Knowledge Base Partner: Queen's University Belfast
Company partner: Pearlai Limited
Company business area: Provide retail technology in the shopping centre/mall sector. Provide superior technology solution for tracking shopper movement, producing dynamic shopping behaviour summaries, and proximity marketing.
Contact: KTP at QUB, Research and Enterprise Directorate
Queen's University Belfast
63 University Road
BT7 1NF, Tel: 028 90973970
Additional Info:

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