Organisation STFC
Organisation Detail Science and Technology Facilities Council
Reference Number IRC249345
Location Warrington See on Map
Salary £30782 - £42576
Date Posted 07 May 2019
Grade RC-E
Contract Type Open Ended
Hours Full Time
Closing Date 07 June 2019
Interview Date

Brief Description

Salary: £30,782 - £42,576 (depending on skills and experience)
Grade: UKRI D/E
Contract Type: Open Ended
Hours: Full Time
Closing Date: Friday 7th June 2019


The Hartree Centre is a department within the National Laboratories of the Science and Technology Facilities Research Council. It was officially opened by the Chancellor of the Exchequer in February, 2013.

The Hartree Centre undertakes research, development and deployment activities in the computational sciences (e.g. High Performance Computing, Big Data Analytics and Artificial Intelligence) to deliver economic impact and value to industry clients, research bodies and the public sector.

This impact is delivered through:

  • Collaborative R&D
  • Software development and optimisation
  • Training & Skills
  • Platform as a Service (PaaS).

Hartree works with industry clients across all industry sectors and to date has also delivered services to 42 UK Universities enabling their research activities.

Hartree has a number of key collaborations with industry, including a collaborative research agreement with IBM Research. The 5 year programme is a government investment of £113M to establish a new STFC/IBM Research collaboration focussing on ‘HPC, Data Centric and Cognitive Computing’. With an increased pipeline of projects and growing portfolio of clients the team now must recruit in order to maintain successful project delivery in areas of big data analysis, natural language processing and machine learning.

We now seek to recruit data scientists 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 variety of projects for the Hartree Centre, in the general area of data analysis and machine learning. 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 variety of sectors: during the previous year the group has worked on life sciences, healthcare, manufacturing and finance among other topics. We have worked with a variety of businesses from small start-ups to large multinationals.

Duties include:

  • help define workplans for specific Hartree Centre projects, in collaboration with business development 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.

Contacts and Communication

You will join a team of Data Scientists within the Hartree Centre, at STFC Daresbury Laboratory. They will work closely with an expanding IBM Research team based at the Daresbury site. They 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.

The Hartree Centre works closely with industrial clients on specific projects, and you will also contribute to these projects as needed. 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.

Personal Skills and Attributes

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

You will need to work on diverse projects, so you 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 you must be able to work to a plan and within a deadline.

To be considered at Band E, you should have experience of how to develop and manage a project with a small team and ideally experience of people management and developing technical staff. They should also have demonstrable experience with applying machine learning and/or statistical methods in practical situations. A postgraduate degree, or equivalent industrial experience, would be an advantage, as would experience of using clusters or supercomputers, and of data management.

Further information: (Hartree Centre) (Scientific Computing Department) (Computational Engineering group)

Organization Description

UK Research and Innovation is a new entity that brings together nine partners to create an independent organisation with a strong voice for research and innovation, and a vision to ensure the UK maintains its world-leading position in research and innovation. More information can be found at

The Science and Technology Facilities Council is a world-leading multi-disciplinary science organisation, and our goal is to deliver economic, societal, scientific and international benefits to the UK and its people – and more broadly to the world.

Shortlisting Criteria


  • degree in a mathematical, scientific, or computer science discipline
  • experience of data analysis, utilising a range of compiled and scripting languages
  • experience applying mathematics and statistics
  • experience of working as a member of project teams, preferably on software or cross-disciplinary projects
  • demonstrable ability to master new tools and technologies
  • (Band E) Experience leading small to medium sized project teams, or managing technical staff
  • (Band E) Practical experience of applying machine learning or statistical methods to real-world industrial or research data sets.


  • masters degree or PhD in engineering, mathematics or other relevant discipline
  • industrial or commercial experience of solving business problems using data
  • good background in applications of statistical methods
  • experience of big data problems (volume, velocity and variety) and solutions (e.g. MapReduce, Spark)
  • experience of data visualisation
  • knowledge of and experience applying artificial intelligence methods, in particular in at least one of the following:
    • machine learning
    • automated reasoning
  • (Band E) Postgraduate research experience in engineering, mathematics or other relevant discipline
  • (Band E) Driving innovation and department organisation.

Interview Criteria


  • knowledge of and experience using one or more of: data analytics, natural language processing applications, artificial intelligence, machine learning
  • 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
  • (Band E) Demonstrate experience leading a project team or managing and developing technical staff
  • (Band E) Practical experience of applying machine learning or statistics to real-world data sets.


  • knowledge of big data and software performance issues
  • specific experience in one or more of: machine learning, applied statistics, artificial intelligence
  • excellent influencing and presentation skills and able to proactively listen to capture user requirements
  • experience of working with commercial partners or within a commercial research environment
  • knowledge of good coding and practice, for example version control or test-driven development
  • (Band E) Experience of developing proposals for funded projects
  • (Band E) Experience of constructing work plans for commercial projects.
As this job does not fulfil the Home Office Code of Practice criterion for obtaining sponsored migrant worker status we will be unable to apply for sponsorship for anyone not eligible to work in the UK. At interview, all shortlisted candidates are required to bring with them identification documents and original documents that prove they hold or can obtain the right to work in the UK. You can check your eligibility here:

UKRI supports research in areas that include animal health, agriculture and food security, and bioscience for health which includes research on animals, genetic modification and stem cell research. Whilst you may not have direct involvement in this type of research, you should consider whether this conflicts with your personal values or beliefs.

To enable us to hire the very best people we will conduct a full and comprehensive pre-employment check as an essential part of the recruitment process on all individuals that are offered a position with UKRI. This will include a security check and an extreme organisations affiliation check.

Employee Benefits

UK Research and Innovation recognises and values employees as individuals and aim to provide a pay and rewards package that motivates staff to perform to the best of their ability. The reward package includes a flexible working scheme, a Career Average Revalued Earnings pension scheme, 30 days annual leave allowance and a number of other benefits.

Developing Talent

We are committed to developing employees in their roles throughout their career. Learning and development plans enable employees to continue their professional development through training and development opportunities such as e-learning, classroom training and on-the-job experiences. We encourage our employees to share their learning across teams and organisations.

Equal Opportunities

We strive to make decisions based on individual merit and ability. We welcome applications from all sections of the community and promote equality of opportunity in accordance with the Equality Act 2010. As holders of Disability Confident Employer status, we guarantee to interview all applicants with disabilities who meet the minimum criteria for the vacancy.

Online applications only. Please submit a covering letter and CV ensuring that the IRC reference is included in the filename description of each document uploaded. Please note that failure to address the above criteria or submitted without a covering letter may result in your application not being considered.

The closing date for applications is 2nd May 2019, however we encourage early applications as some candidates may be interviewed before this date.

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