Salary: £33,966 to £36,024 with progression to £44,263 per annum
Newcastle University is a great place to work, with excellent benefits . We have a generous holiday package; plus the opportunity to buy more, great pension schemes and a number of health and wellbeing initiatives to support you.
Closing Date: 30 November 2023
This is an excellent opportunity to join leading data scientists at the National Innovation Centre for Data (NICD), to support the Centre’s technical effort to improve productivity through data by transferring ‘in demand’ data science skills into UK organisations.
NICD has been established to address the data skills gap in the UK that will enable organisations to innovate through data. It delivers a flexible rolling programme of collaborative projects that focus on a specific business challenge or opportunity and transfers practical data skills into the workforce. Using these new skills, organisations can make better, data driven decisions, optimising existing operations or launching new products and services.
You will be responsible for working with client organisations to deliver technical projects that span a broad range of sectors as well as a variety of unique and intriguing technical or business challenges. Through the delivery of these technical projects, you will be responsible for transferring data skills to the client organisation’s staff, through tutoring and mentoring.
You should be educated to PhD in a related discipline or MSc in a related discipline with substantial industrial experience in a technically relevant area. You should have relevant knowledge and experience in one or more of the following areas: Statistical Modelling, Artificial Intelligence, Machine Learning, Machine Vision, MLOps, Data Analytics, Data Engineering, Data Warehousing, Data Visualisation.
You must be excited to challenge yourself and to continue to advance your skills through continued professional development. You must have a positive ‘can-do’ attitude and an enthusiastic approach to solving problems.
We are committed to building and maintaining a fair and inclusive working environment and we would be happy to discuss arrangements for flexible and/or blended working.
To apply, please complete an online application and upload a CV and a cover letter. Your cover letter is a supporting statement and you should outline how you meet the essential criteria of the role and evidence this with examples.
If you have any specific questions relating to the job advert, please contact Georgia Carr Georgia.email@example.com or Richie Ramsden Richard.Ramsden@newcastle.ac.uk
This role is responsible for:
- Delivering NICD technical projects
- Demonstrating, tutoring and mentoring individuals from client organisations to gain relevant data science skills
- Collaborating with client organisations to develop appropriate technical solutions to business problems relating to data
- Supporting, the use of relevant technologies and helping to transfer the relevant skills into client organisations
- Providing advice and assistance to client organisations and colleagues in problem-solving relating to NICD technical projects
- Actively participating in client project reviews with the aim of selecting technically feasible projects with the potential to transform organisations
- Presenting work and providing updates, including the effective communication of complex or technical information, at project meetings and events
- Creating reports to summarise and explain technical information. (Essential)
- Presenting project updates, milestones and results. (Essential)
- Representing NICD and disseminating information about NICD and its work at national and international events.
- Developing relevant learning materials for activities and events that educate and support the NICD community
- Maintaining and developing knowledge through training and development activities to keep abreast of the latest/most relevant technologies
- Understanding and contributing to the selection and use of NICD software and data infrastructure, including technologies for version control, continuous integration, deployment and code review
- Any other duties within the scope and general nature of the grade which may be required.
The Person (Essential)
Knowledge, Skills and Experience
- Relevant knowledge and experience in one or more of the following areas: Statistical Modelling, Artificial Intelligence, Machine Learning, Machine Vision, MLOps, Data Analytics, Data Engineering, Data Warehousing, Data Visualisation. (Essential)
- Relevant knowledge and experience of cleaning, processing and modelling data using a scripting language e.g. with R or Python. (Essential)
- Experience delivering projects on time and to a high quality. (Essential)
- Successfully working and contributing as part of a team. (Essential)
- Excellent communication skills. (Essential)
- Excellent interpersonal skills (motivating, negotiating, influencing and being empathetic). (Essential)
- Ability to manage own work, including planning and execution. (Essential)
Attributes and Behaviour
- Works continually towards achieving success through understanding and meeting or exceeding the expectations of project collaborators, the University, students, colleagues and other stakeholders
- Is enthusiastic in getting the job done on time and demonstrates high energy and commitment to the delivery of excellent service
- Generates a range of viable options and decides on an appropriate course of action that best fits organisational and area goals
- Encourages creative and innovative thinking in self and others and makes decisions based on understanding the wider organisational needs and having considered a range of possible options
- Operates in a number of different teams and groups across the organisation, confident in adopting a range of team roles
- Looks at ways of developing cross functional co-operation and support and looks to build alliances and relationships outside of the group
- Understands individual or group motives, understands the culture of a particular area, school or faculty
- Is able to quickly and effectively learn the methods and language used within other groups