Data Scientist 429938 at University of Strathclyde

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Data Scientist (429938)
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- Faculty of Engineering
Location:
Glasgow
Salary:
£33,309 to £40,927
Hours:
Full Time
Contract Type:
Permanent
Placed On:
28th February 2022
Closes:
27th March 2022
Job Ref:
336206
The **MEMBERS ONLY**SIGN UP NOW***. in Glasgow is an internationally rated academic institute with a proud history of successful joint ventures with industrial partners and hosting world leading research groups. Through partnership with the Scottish Government, Scottish Enterprise, Highlands and Islands Enterprise, Skills Development Scotland, Scottish Funding Council and Renfrewshire Council, the University will host the National Manufacturing Institute Scotland (NMIS), a bold and ambitious industry-centred project to create an international centre of advanced manufacturing expertise and excellence where industry, academia and public-sector support agencies work together to transform skills, productivity and innovation, making Scotland and the UK a global leader in advanced manufacturing.
Autonomous decision making within manufacturing enterprises (both large and SME) is a major focus of digital transformation, however with these decision support systems will be underpinned by algorithms based on statistical analysis, machine learning and artificial intelligence. Development of these algorithms requires significant knowledge exchange between domain experts in manufacturing and iterative building, training and validation of any data-driven models. To address these challenges, NMIS seeks to appoint a Data Scientist to work between NMIS, the University and its industrial partners with a strong emphasis on knowledge exchange activities, including collaborative research and development. The Data Scientist will require research and/or technical experience in the following areas:
Statistical analysis, machine learning and artificial intelligence approaches applied to industrial datasets
Data exploration, data visualisation, and integration of ground truth sources into training datasets
Development of models on remote servers for deployment to edge devices or business intelligence systems
Creating and managing different database structures to support different analytics applications
Collaboration with teams of data scientists, engineers and other technical experts.
The Data Scientist will require the knowledge, skills and experience normally associated with a first degree and/or PhD in Computer Science, Engineering or Mathematics. The Data Scientist will support the delivery of research programmes on manufacturing data analytics, smart factory systems, digital transformation of industrial enterprises, and will be involved in academic research into one or more of these processes.
To be considered for this role, you will be educated to a minimum of PhD level in an appropriate discipline, or be educated to a minimum of 2:1 Honors degree in addition to significant relevant experience within a relevant industrial environment. The post holder will also be able to work autonomously, plan and prioritise own workload with guidance from a team / project leader, and deal with complex problems presented to them by colleagues. Preferably, the individual will have experience of project planning and delivery, as well as excellent communication and interpersonal skills, with a proven ability to interact with a range of stakeholders from industry and/or academia. Lastly, the post holder may be required to contribute to the administrative activities of NMIS including membership of relevant committees. You will have an established track record in providing data analytics solutions in an industrial or research context as well as experience of supporting research and development of manufacturing processes. You will have excellent troubleshooting skills, including a methodical approach to solve complex problems and you will be able to work as part of a multi-disciplinary team. For more information, visit the National Manufacturing Institute Scotland (NMIS) Website:
****For informal enquiries, please contact Andrew Hamilton, Senior R&D, ****
Further Particulars (429938).pdf
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