We have an opportunity to join our SDS Evaluation and Research team, where we provide high-quality, robust evidence and insights to support the careers service and apprenticeship programs. As a PhD intern, you'll be instrumental in projects that shape policy and drive continuous improvement.
You'll work on three key research projects:
• Young People’s Career Ambitions ~1,500 responses from young people about their career pathways, journey, influencers, and decisions.
• Pupils’ Voice ~ 9,000 responses from young people on their views of CIAG and other SDS services as well as outcomes and benefits from the support.
• Apprenticeship Voice ~20,000 responses from Foundation, Modern and Graduate Apprentices at three different stages – in-training and post training on their experiences and value of taking part in an Apprenticeships.
These projects involve ongoing data collection and sophisticated data analysis using R, producing engaging outputs and visualisations for our audiences, including colleagues and policymakers.
You will be part of a collaborative environment where team members work closely together, sharing insights and expertise. Previous interns have praised our supportive working environment and the significant impact they were able to make.
This is also an opportunity to work with large, complex datasets within SDS to develop your skills in advanced data analysis, and contribute to policy-focused research.
An important goal of our team is to further integrate our use of R and to introduce more complex and sophisticated data analysis methods into our research projects to produce deeper insights. The primary aim of this internship is to support the E&R team to make progress towards this goal.
More detailed requirements of the PhD Intern would be to:
• Apply advanced statistical methods to support the research objectives of the team.
• Conduct advanced statistical analysis using matched datasets (provided by SDS) or longitudinal data to deepen insights from our datasets.
• Work closely with the E&R team to integrate advanced statistical approaches into ongoing projects.
• Work closely with the E&R team to further support the integration of R into ongoing projects.
• Work with the team using R for data manipulation, analysis, and creating engaging visualisations, graphs, charts, and research outputs.
• Work with the team to design and share these outputs with a wide range of delivery and policy audiences.
