At a Glance
- Tasks: Analyse survey data to enhance student experiences and support services.
- Company: LSE Students' Union, a dynamic and innovative organisation.
- Benefits: Flexible hours, competitive pay, and potential for ongoing opportunities.
- Other info: Join a passionate team dedicated to positive change.
- Why this job: Make a real impact while working in a creative and supportive environment.
- Qualifications: Curiosity, computer literacy, and proficiency in Python are essential.
The predicted salary is between 16.59 - 16.59 £ per hour.
Salary: £16.59 per hour (inclusive of holiday pay)
Location: LSESU/LSE
Working hours: 0 hour contract
Contract type: 0-hour contract
Job Summary
The Big Conversation is a pivotal initiative led by the LSE Students' Union (LSESU) for the 2026/27 enrollment period. As part of our innovative approach to supporting students, we collect and analyse large volumes of survey data during the enrolment period. This involves transforming complex survey responses into structured datasets that enable personalised communications and tailored support throughout Welcome and beyond. We use a range of qualitative and quantitative research methods to develop a deep understanding of students' early experiences, needs and expectations. These insights help us enhance our services, identify and address communication gaps, and provide evidence-based recommendations to a wide range of stakeholders across LSE.
All successful candidates will sign a confidentiality agreement, undergo comprehensive GDPR training, and receive ongoing support throughout the project.
Who are we looking for
This role is ideal for curious analysts, perhaps early in their career, interested in working for charity, non-profit, or political organisations. Applicants who can work at pace, ask and answer interesting questions about the data in front of them, and who demonstrate a high level of computer literacy and use of the programming language Python are perfect for this role. Your ability to extract key messages from your insights for a variety of stakeholders will be essential, as well as being able to work flexibly in a small team.
The data and insight leg of the project will run from September 18th until mid November. We are happy to offer flexibility with this role so you can work around your studies, and there may also be an opportunity to extend your role as a Data and Insight Assistant after the Big Conversation project is over.
Why apply
Apply because you are driven by impact and excited by challenge. We are the opposite of ‘corporate’ – we are a team of progressive, daring, and creative individuals dedicated to making a tangible difference in an unconventional, high-energy workplace.
Big Conversation Data and Insight Assistant in London employer: LSE Students' Union
At LSE Students' Union, we pride ourselves on being an exceptional employer that fosters a dynamic and inclusive work culture. Our commitment to employee growth is evident through flexible working arrangements that accommodate your studies, alongside opportunities for further development beyond the Big Conversation project. Join us in making a meaningful impact in a vibrant environment where creativity and innovation thrive.
StudySmarter Expert Advice🤫
We think this is how you could land Big Conversation Data and Insight Assistant in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like LSE Students' Union before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like LSE Students' Union.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like LSE Students' Union.
We think you need these skills to ace Big Conversation Data and Insight Assistant in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at LSE Students' Union, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to LSE Students' Union, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab LSE Students' Union’s attention and show the tangible impact of your work.
How to prepare for a job interview at LSE Students' Union
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at LSE Students' Union.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at LSE Students' Union.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at LSE Students' Union.
