At a Glance
- Tasks: Apply quantitative techniques to complex datasets and build econometric and machine learning models.
- Company: Leading consulting firm in Greater London with a focus on economic impact.
- Benefits: Private healthcare, hybrid working arrangements, and competitive salary.
- Why this job: Contribute to impactful economic analysis while working with advanced data science techniques.
- Qualifications: Strong programming skills in Python and experience with cloud platforms.
The predicted salary is between 43200 - 72000 Β£ per year.
A leading consulting firm in Greater London is seeking a Senior Economist / Data Scientist for its Economic Impact team. This role involves applying quantitative techniques to complex datasets and building econometric and machine learning models.
Ideal candidates will possess strong programming skills in Python and experience with cloud platforms.
The position offers attractive benefits including private healthcare and hybrid working arrangements, making it an excellent opportunity for qualified individuals looking to contribute to impactful economic analysis.
Senior Economist & Data Scientist - Economic Impact Hybrid in London employer: Oxford Economics
Contact Detail:
Oxford Economics Recruiting Team
StudySmarter Expert Advice π€«
We think this is how you could land Senior Economist & Data Scientist - Economic Impact Hybrid in London
β¨Tip Number 1
Network like a pro! Reach out to professionals in the economic and data science fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show off your expertise.
β¨Tip Number 2
Prepare for interviews by brushing up on your Python skills and understanding econometric models. We recommend practising common interview questions and even doing mock interviews with friends or mentors to build confidence.
β¨Tip Number 3
Showcase your projects! If you've worked on any relevant datasets or models, create a portfolio to demonstrate your skills. This can really set you apart from other candidates and give you an edge in interviews.
β¨Tip Number 4
Donβt forget to apply through our website! Itβs the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Economist & Data Scientist - Economic Impact Hybrid in London
Some tips for your application π«‘
Tailor Your CV: Make sure your CV highlights your programming skills in Python and any experience with cloud platforms. We want to see how your background aligns with the role, so donβt be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why youβre passionate about economic impact analysis and how your skills can contribute to our team. Keep it engaging and personal β we love to see your personality come through.
Showcase Your Quantitative Skills: Since this role involves applying quantitative techniques, make sure to mention any specific methodologies or models youβve worked with. Weβre looking for candidates who can demonstrate their analytical prowess, so donβt hold back!
Apply Through Our Website: We encourage you to apply directly through our website. Itβs the best way for us to receive your application and ensures youβre considered for the role. Plus, itβs super easy β just follow the prompts and youβll be on your way!
How to prepare for a job interview at Oxford Economics
β¨Know Your Data Inside Out
Make sure youβre well-versed in the datasets relevant to economic impact analysis. Brush up on your quantitative techniques and be ready to discuss how you've applied them in past projects. This will show your potential employer that you can hit the ground running.
β¨Show Off Your Programming Skills
Since strong programming skills in Python are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges beforehand. Familiarise yourself with common libraries used in econometrics and machine learning.
β¨Understand Cloud Platforms
Get comfortable with cloud platforms as they are crucial for data storage and processing. Be prepared to discuss any experience you have with these technologies, and if you havenβt worked with them yet, do some research on popular options like AWS or Google Cloud.
β¨Prepare Questions About the Role
Interviews are a two-way street! Prepare insightful questions about the Economic Impact team and the types of projects youβd be working on. This shows your genuine interest in the role and helps you assess if itβs the right fit for you.