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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: Competitive pay up to £700 per day, hybrid work model.
- Why this job: Make a real impact on economic policy with your analytical skills.
- Qualifications: Degree in economics or related field; expertise in econometrics required.
- Other info: Opportunity for career growth in a collaborative environment.
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.
Essential Skills & Experience:
- 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.
Desirable:
- 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 employer: Jobs in Science
Contact Detail:
Jobs in Science Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Economist
✨Tip Number 1
Network like a pro! Reach out to your connections in the economics field, especially those who work in data policy. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your econometric models and analyses. This will help you stand out during interviews and demonstrate your expertise in panel data and causal inference.
✨Tip Number 3
Practice makes perfect! Brush up on your communication skills by explaining complex economic concepts to friends or family. Being able to simplify your findings for non-technical audiences is key in this role.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of resources to help you land that economist role, and applying directly can give you an edge over other candidates.
We think you need these skills to ace Economist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in econometrics and data analysis. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in panel data and economic modelling.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the role and how your background makes you the perfect fit for our Data Policy Analysis Team. Keep it engaging and relevant!
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 highlight any projects or experiences where you’ve used these skills effectively.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Plus, it’s super easy!
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, think of examples where you've successfully made complex concepts accessible. This will demonstrate your ability to bridge the gap between technical analysis and policy-making.
✨Showcase Your Collaboration Skills
Prepare examples of how you've worked within multi-disciplinary teams. Highlight your role in collaborative projects and how you contributed to policy-focused reports. This will illustrate your ability to work effectively with others and your understanding of the importance of teamwork in achieving common goals.
✨Stay Updated on Digital Policy Trends
Familiarise yourself with current trends in digital and data policy. Being able to discuss recent developments or case studies will show your genuine interest in the field and your proactive approach to staying informed, which is crucial for a role that influences government strategies.
