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Job profile
The University of Essex recognises the value that comes with a diverse workforce. More information on our commitment to diversity and inclusion can be found in
our Strategy.
Job details
Job details
Job reference
REQ01936
Application closing date
19/11/2018
Location
Other
Salary
£26,500 per annum
Employment type
Fixed-Term, Full-Time
Job category/type
Research
Attachments
Blank
Data Scientist (KTP Associate)
Job description
Knowledge Transfer Partnerships (KTPs)
Knowledge Transfer Partnerships (KTPs) are a unique UK-wide activity that help businesses to improve their competitiveness and productivity by making better use of the knowledge, technology and skills within universities, colleges and research organisations. Further information is available at:
www.ktponline.org.uk
THE
PROJECT
The University of Essex in partnership with BT Consumer and BT Applied Research offers an exciting opportunity for a graduate to develop new state of the art machine learning techniques to improve BT's understanding of service consumption across multiple channels in order to optimise customer interactions.
The Associate will investigate, develop, test, compare and report on multiple techniques such as unsupervised and semi-supervised learning, reinforced learning, causal inference, etc. to deliver solutions that provide next best action recommendations such as appropriate offers and incentives. The implementation of these techniques will enable timely and specific interactions with customers to improve customer loyalty as well as satisfaction and return on investment. The Associate will benefit from working closely with operational BT teams and relevant BT datasets.
This post is fixed term for 36 months and is based at the BTs offices in Ipswich with occasional travel to the BT Consumer team offices in London, and to the University of Essex Colchester Campus.
DUTIES OF THE POST
Technical and Research Duties
* Complete and review technical needs audit and market report.
* Investigate and report on the strengths and weaknesses of state of the art Machine Learning (ML) and Artificial Intelligence (AI) techniques (advanced clustering, reinforcement learning and causal inferences) in the context of the project.
* Iterate development of ML models using selected techniques. Provide comparisons with existing knowledge and techniques and interpretable rules, and propose ways they could be implemented by operational teams.
* Draft research papers for conferences and publication, collaboratively with the academic team.
* Simulate, test, analyse and collate results for reports, presentations and publications.
Project Management Duties
* Organise regular technical project reviews with the academic team and BT.
* Work collaboratively with the Consumer and Applied Research teams at BT, academics and researchers at the University.
* Deal with project issues which may affect commercial and research objectives and deadlines.
* Provide regular updates on progress to the project team via oral and written reports and presentations.
KEY REQUIREMENTS
The postholder must have:
* BSc in Computer Science or a related discipline.
* Good theoretical and applied knowledge of mathematical methods for data science, including foundational topics such as calculus, linear algebra, statistics and optimisation, and machine learning techniques.
LOCATION
Orion 5 PP5
Adastral Park
Martlesham Heath
Ipswich, Suffolk
At the University of Essex internationalism is central to who we are and what we do. We are committed to being a cosmopolitan, internationally-oriented university that is welcoming to staff and students from all countries and a university where you can find the world in one place.
Please see the further detail link below for a full job description and person specification which outlines the full duties, skills, qualifications and experience needed for this role plus more information relating to the post. We recommend you read this information carefully before making an application. Applications should be made on-line, but if you would like advice or help in making an application, or need information in a different format, please telephone the Resourcing Team (01206 876559).
*Further detail:
Data Scientist (KTP Associate)
jobpack
*More information:
Working at the University
Job title
Data Scientist (KTP Associate)
Job reference
REQ01936
Application closing date
19/11/2018
Location
Other
Salary
£26,500 per annum
Employment type
Fixed-Term, Full-Time
Job category/type
Research
Attachments
Blank
Job description
Knowledge Transfer Partnerships (KTPs)
Knowledge Transfer Partnerships (KTPs) are a unique UK-wide activity that help businesses to improve their competitiveness and productivity by making better use of the knowledge, technology and skills within universities, colleges and research organisations. Further information is available at:
www.ktponline.org.uk
THE
PROJECT
The University of Essex in partnership with BT Consumer and BT Applied Research offers an exciting opportunity for a graduate to develop new state of the art machine learning techniques to improve BT's understanding of service consumption across multiple channels in order to optimise customer interactions.
The Associate will investigate, develop, test, compare and report on multiple techniques such as unsupervised and semi-supervised learning, reinforced learning, causal inference, etc. to deliver solutions that provide next best action recommendations such as appropriate offers and incentives. The implementation of these techniques will enable timely and specific interactions with customers to improve customer loyalty as well as satisfaction and return on investment. The Associate will benefit from working closely with operational BT teams and relevant BT datasets.
This post is fixed term for 36 months and is based at the BTs offices in Ipswich with occasional travel to the BT Consumer team offices in London, and to the University of Essex Colchester Campus.
DUTIES OF THE POST
Technical and Research Duties
* Complete and review technical needs audit and market report.
* Investigate and report on the strengths and weaknesses of state of the art Machine Learning (ML) and Artificial Intelligence (AI) techniques (advanced clustering, reinforcement learning and causal inferences) in the context of the project.
* Iterate development of ML models using selected techniques. Provide comparisons with existing knowledge and techniques and interpretable rules, and propose ways they could be implemented by operational teams.
* Draft research papers for conferences and publication, collaboratively with the academic team.
* Simulate, test, analyse and collate results for reports, presentations and publications.
Project Management Duties
* Organise regular technical project reviews with the academic team and BT.
* Work collaboratively with the Consumer and Applied Research teams at BT, academics and researchers at the University.
* Deal with project issues which may affect commercial and research objectives and deadlines.
* Provide regular updates on progress to the project team via oral and written reports and presentations.
KEY REQUIREMENTS
The postholder must have:
* BSc in Computer Science or a related discipline.
* Good theoretical and applied knowledge of mathematical methods for data science, including foundational topics such as calculus, linear algebra, statistics and optimisation, and machine learning techniques.
LOCATION
Orion 5 PP5
Adastral Park
Martlesham Heath
Ipswich, Suffolk
At the University of Essex internationalism is central to who we are and what we do. We are committed to being a cosmopolitan, internationally-oriented university that is welcoming to staff and students from all countries and a university where you can find the world in one place.
Please see the further detail link below for a full job description and person specification which outlines the full duties, skills, qualifications and experience needed for this role plus more information relating to the post. We recommend you read this information carefully before making an application. Applications should be made on-line, but if you would like advice or help in making an application, or need information in a different format, please telephone the Resourcing Team (01206 876559).
*Further detail:
Data Scientist (KTP Associate)
jobpack
*More information:
Working at the University