Recruiting for UKRI and UK SBS

Lead Data Scientist

2100016B Requisition #

Job Title: Lead Data Scientist
Salary: £39,748 - £44,166 gross per annum*
Banding: UKRI Band E
Location: Daresbury Laboratory- Warrington
Contract Type: Open Ended
Hours: Full Time (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 £1500 Responsibility and Retention Allowance gross per annum

About the Hartree Centre
At the Hartree Centre, we want to see UK businesses outperforming their global competitors. We want to grow the economy, create skilled jobs and train people to excel in them. Most of all, we want to keep the UK at the forefront of industrial innovation. We're making all this happen and more by enabling UK industry to fully embrace and integrate the latest digital and cognitive technologies.

We provide collaborative research, innovation and development services that accelerate the application of high performance computing (HPC), data analytics and artificial intelligence technologies.  By working with us, businesses and research partners can gain a competitive advantage that enables them to produce better outcomes, products and services more quickly and cheaply than through conventional R&D.

We have a technically exciting computing environment, encompassing a wide range of hardware and software technologies.

Reasons our staff enjoy working for us:
•    We’re based at Sci-Tech Daresbury - a lively and dynamic campus bringing together SMEs and leading industry-academic collaborations located in a picturesque semi-rural location with easy access to canal-side and woodland walking.
•    We are less than two miles from the M56 motorway with public transport links and access to Warrington and Runcorn national rail stations. Advice on all aspects of travel to site including car sharing is available at:
•    30 days annual leave plus 10.5 public and privilege days.
•    Options for flexible or hybrid working patterns are available.
•    Defined benefit pension scheme (employer contribution – currently up to 26%).
•    There are different active sport and social groups across campus with access to an on-site gym for staff.
•    Personal development is key. You will work with your line manager to develop your own Learning and Development plan each year.
•    We value collaborative working across STFC and with our external collaborators such as IBM Research, The University of Liverpool’s Virtual Engineering Centre, Atos, NVIDIA, Unilever and many more.
•    Diversity and inclusion are important to us. UKRI has a corporate policy on Equality and Diversity which is supported by a Diversity Forum and implementation group.
•    For more information on the rest of our employee benefits, take a look at:

About the Role: 

We now seek to recruit a Lead Data Scientist to join the growing Data Science Group. With IBM Research and our industry partners, we are collaboratively developing tools, frameworks and applications to accelerate the adoption of emerging technologies. You will work on a range of projects for our Centre, in the general area of data analysis and machine learning. You will work with business development colleagues to develop collaborations with industrial partners and public agencies. In progressing Hartree Centre projects, there will be technical help from systems and project support teams in the department. 

There is also the opportunity to collaborate with other Hartree Centre teams who work on artificial intelligence, high-performance computing and software engineering. Initial work will take forward opportunities in a range of sectors: during the previous year the group has worked on life sciences, healthcare, manufacturing and finance among other topics. We have worked with many businesses from small start-ups to large multinationals. Some of the work will be commercial in confidence and subject to IPR rules around public disclosure. The role will involve working closely with teams within commercial companies.

Duties include:
•    Define workplans for specific Hartree Centre projects, in collaboration with business developments personnel and client subject matter experts.
•    Identify appropriate technologies and design appropriate technology solutions.
•    Learn and apply data centric, analytics and AI technologies.
•    Look at validation of conclusions, and presentation of results to customers (including advanced visualisation).
•    Make site visits to commercial and academic partners.
•    Publish non-confidential results to build Hartree and your own profiles in the community.
•    Contribute to specific projects with industrial clients as needed, including leading smaller projects.
•    Line manage staff, and mentor junior members of the group.

Person Specification:
The ideal candidate will have experience in analysing data and 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 machine learning, statistical analysis or artificial intelligence will be a distinct advantage.

The candidate 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 be solution-focused, so the candidate must be able to work to a plan and within a deadline.

As this is a lead role, experience with line management of staff or management of projects will be an advantage.

(Please note the below criteria will be assessed at Shortlisting or Interview stage as indicated)

•    Degree in a mathematical, scientific, or computer science discipline. (S)
•    Master’s degree or PhD in engineering, mathematics or other relevant discipline. (S)


•    Experience of data analysis, utilizing a range of compiled and scripting languages. (S&I)
•    Experience applying mathematics and statistics. (S&I)
•    Demonstrable ability to master new tools and technologies. (S&I)
•    Excellent verbal and written communication skills. (S&I)
•    Good time management and ability to deliver against work plans. (S&I) 
•    Able to work with industrial clients. (S&I)
•    Can work as part of a team and independently. (S&I)
•    Able to travel in the UK and occasionally abroad. (S)

•    Industrial or commercial experience of solving business problems using data. (S)
•    Experience of working as a member of project teams, preferably on software or cross-disciplinary projects. (S&I) 
•    Good background in applications of statistical methods. (S&I)
•    Experience of big data problems (volume, velocity and variety) and solutions (e.g. MapReduce, Spark). (S&I)
•    Experience of data visualisation. (S&I)
•    Experience of image processing methods, such as convolutional neural networks. (S&I)
•    Knowledge of and/or experience with machine learning methods. (S&I)
•    Experience of working with commercial partners or within a commercial research environment. (S&I)
•    Knowledge of good coding practice, for example version control or test-driven development. (S&I)
•    Experience with management of projects. (S&I)
•    Experience with line management of staff, or assisting with staff development. (S&I)

About The Science and Technology Facilities Council (STFC) 

The STFC is a world-leading multi-disciplinary science organisation where curiosity, blue-skies thinking meets practical, application-led science and engineering. Our goal is to deliver economic, societal, scientific and international benefits to the UK and its people – and more broadly to the world. 

As one of Europe’s largest research organisations, we’re trusted to support, enable and undertake ground-breaking projects in an outstanding diversity of fields. Through world-class facilities and people, we’re driving progressive advances in science, engineering, computing and technology. Our research seeks to understand the Universe from the largest astronomical scales to the tiniest constituents of matter, yet creates impact on a very tangible, human scale. 

For more information about STFC please visit 

You can also visit our careers site 

About UK Research Innovation (UKRI) 

UKRI is an organisation that brings together the seven disciplinary research councils, Research England and Innovate UK. Together, we build an independent organisation with a strong voice and vision ensuring the UK maintains its world-leading position in research and innovation. 

Supporting some of the world’s most exciting and challenging research projects, we develop and operate some of the most remarkable scientific facilities in the world. We are pushing the frontiers of human knowledge through fundamental research and delivering benefits for UK society and the economy through world-class research, skills and business-led innovation. 

More information can be found at  

How we support EDI in the workforce 

At UKRI, we believe that everyone has a right to be treated with dignity and respect, and to be provided with equal opportunities to thrive and succeed in an environment that enables them to do so. We also value diversity of thought and experience within inclusive groups, organisations and the wider community. For further information, please visit ‘How we support EDI in the workforce’

Disability Confident Employer

As users of the disability confident scheme, we guarantee to interview all disabled applicants who meet the minimum criteria for the vacancy/ies. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. 

How to apply 

Online applications only preferred for this role. Please submit a CV and covering letter which clearly outlines how you fulfil the criteria specified along with your motivation for UKRI and the role. Ensure that the job reference number is included in the filename description of each document uploaded. Note that failure to address the above criteria or submit an application without a covering letter may result in the application not being considered. Assessment will only be based upon the content of your submitted covering letter and CV and not the ‘experience’ section of the application. 

UKRI seeks to ensure it creates and maintains a system of openness, fairness and inclusion – a collaborative, trusted environment, which is attractive to and accessible to everyone who is interested in developing their career with us. 

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