Research Assistant (CAGE) (111746-0626) in Coventry

Research Assistant (CAGE) (111746-0626) in Coventry

Coventry Entry level 30000 - 40000 £ / year (est.) No working from home possible
University of Warwick

At a Glance

  • Tasks: Assist in analysing data and developing research designs for impactful housing policy.
  • Company: Join the University of Warwick's renowned research centre with a collaborative spirit.
  • Benefits: Enjoy 26 days holiday, an attractive pension scheme, and excellent learning opportunities.
  • Other info: Dynamic environment with opportunities for professional growth and development.
  • Why this job: Make a difference in UK housing policy while gaining valuable research experience.
  • Qualifications: Master’s degree in Economics or strong interest in research; teamwork and data skills required.

The predicted salary is between 30000 - 40000 £ per year.

For informal queries about the role, please contact Amrita Kulka (Assistant Professor) at Amrita.Kulka@warwick.ac.uk.

Project: UK Housing and Planning System

CAGE is an established research centre based in the Department of Economics at the University of Warwick, recently awarded £7.1 million by the Economic and Social Research Council (ESRC) to extend its research programme for five years. The project, led by Dr Nikhil Datta and Dr Amrita Kulka, seeks to generate rigorous quantitative evidence on planning in the UK, create policy recommendations, and communicate findings to policymakers, media and civil society.

Responsibilities

  • Assist Dr Datta and Dr Kulka in the quantitative analysis of newly constructed planning-document data combined with housing-construction, housing-search, price, banking, credit-card and other datasets relevant to each sub-project.
  • Learn and apply Big Data techniques through cleaning, processing, validation and integration of data from multiple sources.
  • Contribute to the development of research designs, prepare presentations for academic and policy audiences, and draft academic research papers.
  • Conduct literature and data reviews, and work closely with the project leaders to disseminate outcomes.

Qualifications

  • Completed a master’s degree in Economics by the start date (a completed bachelor’s degree may be considered in exceptional cases).
  • Strong interest in the research area, proactive, and willing to work as part of a team.
  • Experience or competence in handling large datasets, statistical analysis and research literature reviews.

Benefits

  • Attractive pension scheme.
  • 26 days holiday plus University Christmas closure.
  • Generous parental/adoption leave policy.
  • Onsite childcare facilities.
  • Excellent learning and development opportunities.

We are not extending sponsorship for a Skilled Worker visa. Applicants must have the right to work in the UK or qualify for a different UK immigration route.

Research Assistant (CAGE) (111746-0626) in Coventry employer: University of Warwick

The University of Warwick is an exceptional employer, offering a vibrant work culture that fosters collaboration and innovation within the research community. As a Research Assistant at CAGE, you will benefit from excellent learning and development opportunities, a generous holiday allowance, and a supportive environment that values your contributions to impactful research on the UK housing and planning system.

University of Warwick

Contact Details:

University of Warwick Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Research Assistant (CAGE) (111746-0626) in Coventry

Embrace Online Competitions

Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like University of Warwick when you're aiming for that entry-level role.

Join Data Science Meetups

Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like University of Warwick.

Networking Through University Career Services

Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like University of Warwick.

Spotlight Your Skills Online

Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through University of Warwick’s career page, where your unique skills can shine in their entry-level data science openings!

We think you need these skills to ace Research Assistant (CAGE) (111746-0626) in Coventry

Communication Skills
Problem-Solving Skills
Python
SQL
Automation
Attention to Detail
Stakeholder Management

Some tips for your application 🫡

Show Off Your Data Skills:As you're aiming for an entry-level data science role at University of Warwick, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.

Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.

Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at University of Warwick aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.

Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.

How to prepare for a job interview at University of Warwick

Brush Up on Your Statistics

For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.

Get Hands-On with Tools

Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!

Showcase Relevant Projects

As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.

Prepare for Case Studies

Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!