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- Tasks: Analyse data to boost productivity and inform government strategies.
- Company: Join a dynamic team in the Digital and Data Policy Directorate.
- Benefits: Earn up to £700 per day with hybrid working options.
- Why this job: Make a real impact on economic policy through data analysis.
- Qualifications: Strong background in economics and proficiency in econometric tools.
- Other info: Collaborate with experts and contribute to meaningful policy reports.
The predicted salary is between 50400 - 72800 £ per year.
We are looking for an experienced Economist to join the Digital and Data Policy Directorate’s analytical team, supporting a landmark study on business data use and productivity. This role is central to delivering microeconomic analysis of longitudinal survey panel data, informing government strategies to boost growth and productivity.
The economist will lead on econometric modelling and critique, applying fixed-effects time-series and cross-sectional regression techniques to validate models and ensure robust insights. You will work closely with senior analysts and act as a subject matter expert, advising on model design and interpretation, and translating complex findings into actionable insights for policy colleagues.
Key Responsibilities:- Analyse and interpret longitudinal panel survey data to assess links between data use and productivity.
- Develop and critique econometric models, ensuring methodological robustness.
- Provide expert advice on productivity metrics and economic modelling approaches.
- Collaborate with a multi-disciplinary team and contribute to policy-focused reports.
- Strong grounding in economic theory and empirical modelling.
- Expertise in panel data econometrics, causal inference, and time-series analysis.
- Proficiency in advanced econometric tools (Stata, R, Python).
- Ability to communicate complex analysis clearly to non-technical audiences.
- Degree-level qualification in economics or related quantitative discipline (PhD preferred) or equivalent experience.
- Experience in productivity analysis and growth decomposition.
- Government or private sector microeconomics experience.
- Familiarity with emerging technology and digital/data policy areas.
- Coding experience in R and Python.
Economist in Westminster employer: Jobs in Science
Contact Detail:
Jobs in Science Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Economist in Westminster
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of economics, especially those who work in data policy. Attend industry events or webinars, and don’t be shy about asking for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your econometric models and analyses. Use platforms like GitHub to share your coding projects in R or Python. This way, potential employers can see your expertise in action, and it gives you a great talking point during interviews.
✨Tip Number 3
Prepare for interviews by brushing up on your ability to explain complex concepts in simple terms. Practice explaining your past projects and findings as if you were talking to someone without a technical background. We want to ensure you can communicate effectively with policy colleagues!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and engaged. So, get your application in and let’s make sure you land that economist role!
We think you need these skills to ace Economist in Westminster
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Economist role. Highlight your experience with econometric modelling and any relevant projects you've worked on. We want to see how your skills align with the job description!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data policy analysis and how your background makes you the perfect fit for our team. Keep it engaging and relevant to the role.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in tools like Stata, R, and Python. We’re looking for someone who can hit the ground running, so make sure we know about your coding experience and econometric expertise!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and keep track of all the amazing candidates like you!
How to prepare for a job interview at Jobs in Science
✨Know Your Econometrics
Brush up on your econometric modelling techniques, especially fixed-effects time-series and cross-sectional regression. Be ready to discuss how you've applied these methods in past projects, as this will show your expertise and confidence in handling complex data.
✨Translate Complexity into Simplicity
Practice explaining your analysis and findings in simple terms. Since you'll be communicating with non-technical audiences, being able to break down complex concepts will demonstrate your ability to make your insights actionable for policy colleagues.
✨Showcase Your Collaboration Skills
Prepare examples of how you've worked in multi-disciplinary teams before. Highlight your role in those collaborations and how you contributed to achieving common goals, as teamwork is key in this position.
✨Stay Updated on Digital Policy Trends
Familiarise yourself with the latest trends in digital and data policy. Being knowledgeable about emerging technologies and their implications for productivity will not only impress your interviewers but also show your genuine interest in the field.
