Data Science Level 6 Apprentice

You will work across the Hartree Centre's project portfolio, focusing on data analysis and machine learning. You will regularly interact with other technical teams, including High Performance Computing, Artificial Intelligence and Software Engineering. Our work involves a range of industry sectors including healthcare, manufacturing, energy and agritech. There is some scope for choosing projects in areas you find especially interesting. From small start-up companies to large multinational corporations, you will work closely with commercial teams, with some work being commercial in confidence.

Duties include:

• Work on building solutions to customers' data science challenges.
• Learn and apply data-centric analytics and AI technologies.
• Visit commercial and academic partners, validate conclusions and present results to customers, including using advanced visualisation.
• Make site visits to commercial and academic partners.
• Publish non-confidential results to build the Hartree Centre and your own profiles in the community., Identify and clarify problems an organisation faces, and reformulate them into Data Science problems. Devise solutions and make decisions in context by seeking feedback from stakeholders. Apply scientific methods through experiment design, measurement, hypothesis testing and delivery of results. Collaborate with colleagues to gather requirements.
• Perform data engineering: create and handle datasets for analysis. Use tools and techniques to source, access, explore, profile, pipeline, combine, transform and store data, and apply governance (quality control, security, privacy) to data.
• Identify and use an appropriate range of programming languages and tools for data manipulation, analysis, visualisation, and system integration. Select appropriate data structures and algorithms for the problem. Develop reproducible analysis and robust code, working in accordance with software development standards, including security, accessibility, code quality and version control.
• Use analysis and models to inform and improve organisational outcomes, building models and validating results with statistical testing: perform statistical analysis, correlation vs causation, feature selection and engineering, machine learning, optimisation, and simulations, using the appropriate techniques for the problem.
• Implement data solutions, using relevant software engineering architectures and design patterns. Evaluate Cloud vs. on-premise deployment. Determine the implicit and explicit value of data. Assess value for money and Return on Investment. Scale a system up/out. Evaluate emerging trends and new approaches. Compare the pros and cons of software applications and techniques.
• Find, present, communicate and disseminate outputs effectively and with high impact through creative storytelling, tailoring the message for the audience. Use the best medium for each audience, such as technical writing, reporting and dashboards. Visualise data to tell compelling and actionable narratives. Make recommendations to decision makers to contribute towards the achievement of organisation goals.
• Develop and maintain collaborative relationships at strategic and operational levels, using methods of organisational empathy (human, organisation and technical) and build relationships through active listening and trust development.
• Use project delivery techniques and tools appropriate to their Data Science project and organisation. Plan, organise and manage resources to successfully run a small Data Science project, achieve organisational goals and enable effective change.

• GCSE in:
  English (grade 4 or above)
• GCSE in:
  Maths (grade 4 or above)
• A Level in: 3 subjects including maths (grade BBB or BBC or above). Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.

• Communication skills
• IT skills
• Attention to detail
• Problem solving skills
• Presentation skills
• Administrative skills
• Number skills
• Analytical skills
• Logical skills
• Team working
• Initiative

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.