Data Scientist - Smart Manufacturing

Science & Technology Facilities Council

Daresbury, Warrington, UK

Application Deadline
£31,931 to £34,709

Location: Daresbury Laboratory - Warrington

Salary: £31,931 to £34,709 per annum (dependent on skills and experience) *

Contract Type: Fixed-Term (3 Years)

Hours: Full-Time or Part-Time (minimum 30 hours per week) (We understand the importance of work-life balance, and are happy to discuss the possibility of flexible working with applicants)

*This role is eligible for up to £1,000 Responsibility and Retention Allowance gross per annum

Together, our scientists, technologists, engineers, and business support team explore the unknown and turn what they find into work that changes the world around us. Whether it’s sending probes into space or finding new ways to treat cancer, everyone here plays a vital role in making a positive difference to society.

Come and discover how much you can achieve when you’re surrounded by world-leading experts, encouraged to constantly learn, and empowered to explore your curiosity.

We are seeking to recruit a Data Scientist to join our Data Science group. Collaborating with our industry partners, we develop tools, frameworks, and applications to accelerate the adoption of emerging technologies across UK industry and the public sector.

You will work on projects applying data analysis to smart manufacturing, as part of the Smart Manufacturing Data Hub project. This is a large collaboration, led by Ulster University and involving many other partners including the Energy Systems Catapult and the Data Lab in Edinburgh. You will regularly interact with other technical teams including High Performance Computing, Artificial Intelligence and Software Engineering alongside Professional Services staff to deliver solutions to industry challenges and create societal and economic impact. With Business Development colleagues, you will develop collaborations with industry and academic partners. From small start - up companies to large multinational corporations, you will work closely with commercial teams with some work being commercial in confidence. Projects span the technology readiness spectrum from early-stage research through to commercial application of established techniques, and are implemented on systems including our high performance computers and cloud.Our previous projects have included predicting healthcare pathways for NHS Liverpool, analysing energy use in South-West Water’s treatment plants and building a demonstrator for a digital twin to help tackle the effects of climate change.

Duties include:

  • Collaborate with business development personnel and client subject matter experts to understand clients’ challenges and develop new projects.
  • Identify appropriate technologies and design solutions to client’s business problems.
  • Learn and apply data centric, analytics and AI technologies.
  • Help train customer staff in data science and related technology.
  • Visit commercial and academic partners, validate conclusions and present results to customers, including using advanced visualisation.
  • Publish non-confidential results to build the Hartree Centre and your own profiles in the community.
  • Contribute to specific projects with industrial clients as needed.

Person Specification

You will have experience in analysing data and applying machine learning using tools such as R or Python. While support from other members of the department is available, the candidate should have a basic knowledge of coding, software engineering and statistics. Demonstration of knowledge and/or experience in statistical analysis or artificial intelligence will be a distinct advantage.

You will need to work on diverse projects, so should have good communication skills, in particular the ability to communicate effectively with colleagues from a variety of backgrounds, collaborators, and clients. Hartree Centre projects are solution-focused, so the candidate must be able to work to a plan and within a deadline.

You will need:

  • Degree in a mathematical, scientific, or computer science discipline.
  • Experience of data analysis, utilizing a range of languages.
  • Experience applying mathematics and statistics.
  • Demonstrable ability to master new tools and technologies.
  • Excellent verbal and written communication skills.
  • Good time management and ability to deliver against work plans.
  • Able to work with industrial clients.
  • Can work as part of a team and independently.
  • Able to travel in the UK and occasionally abroad.

We ask some of the biggest questions in the universe, to answer some of the biggest challenges in the world. Whatever our role, we have the freedom to explore, learn and connect, as part of a community that loves to share knowledge and support one another.

As one of Europe’s largest research organisations, this is a place where there’s always something new to learn – about the world around us, about your career, but most of all, about yourself. Join us and discover what’s possible.

STFC values their employees by offering a benefits package designed to provide an excellent work/life balance. This includes 30 days’ annual leave, 10.5 public and privilege holidays, flexible working hours, a workplace nursery, exceptional average salary pension scheme, social and sporting activities and societies and a subsidised restaurant.

Applicants who are unable to apply online should contact us by telephone on 07710 115815.

The closing date for applications is 12th February 2023.

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