At a Glance
- Tasks: Support research studies by processing data and generating actionable insights.
- Company: Join UCAS, a leader in education insights with a focus on quality.
- Benefits: Enjoy hybrid working, 30 days leave, and wellbeing benefits.
- Other info: Flexible 35-hour week with opportunities for personal growth.
- Why this job: Make a real impact by delivering insights that shape educational outcomes.
- Qualifications: Strong data management skills and effective communication abilities.
The predicted salary is between 25650 - 31350 £ per year.
UCAS is seeking a Research Assistant to support quantitative and qualitative studies, processing data, ensuring quality, and generating actionable insights.
You will work with Insight Managers to deliver outputs that meet client objectives and maintain high standards.
The role emphasizes data management, analysis, and clear communication across audiences.
This position offers hybrid working with a 35-hour week, 30 days leave, and employee wellbeing benefits.
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Insight Research Assistant - Hybrid in Gloucester employer: UCAS
UCAS is an exceptional employer, offering a purpose-driven work environment that connects individuals to higher education opportunities. With a strong commitment to employee growth through internal training and access to industry-recognised certifications, UCAS fosters an inclusive culture supported by various employee networks and wellbeing initiatives. The hybrid working model, generous leave policies, and onsite facilities further enhance the overall employee experience, making it a rewarding place to work in Cheltenham.
StudySmarter Expert Advice🤫
We think this is how you could land Insight Research Assistant - Hybrid in Gloucester
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like UCAS!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like UCAS.
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We think you need these skills to ace Insight Research Assistant - Hybrid in Gloucester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at UCAS, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at UCAS. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at UCAS
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at UCAS!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
