At a Glance
- Tasks: Enhance econometric models and develop analytical projects with cross-functional teams.
- Company: Join Norton Blake, a leader in Modelling and Intelligence.
- Benefits: Gain valuable experience in a dynamic environment with potential for career growth.
- Other info: Excellent communication skills are essential for collaboration.
- Why this job: Make a real impact in the real estate sector using your data science skills.
- Qualifications: Strong Python skills, quantitative degree, and 4+ years of relevant experience.
The predicted salary is between 50000 - 70000 € per year.
Norton Blake is seeking an enthusiastic Econometrician/Statistician for a fixed-term contract in London. You will enhance existing econometric models and develop new analytical projects in collaboration with cross-functional teams. The role demands strong Python skills and experience in applying statistical techniques to real estate data.
Ideal candidates will possess a quantitative degree, at least 4 years of relevant experience, and excellent communication skills. Join a leading Modelling and Intelligence team to deliver strategic insights.
Real Estate Econometrician & Data Scientist (Fixed-Term) in London employer: Norton Blake
Norton Blake is an excellent employer, offering a dynamic work environment in the heart of London where innovation thrives. With a strong focus on employee development, you will have access to continuous learning opportunities and the chance to collaborate with talented professionals in the Modelling and Intelligence team. Our inclusive culture fosters creativity and teamwork, making it a rewarding place to contribute to impactful projects in the real estate sector.
StudySmarter Expert Advice🤫
We think this is how you could land Real Estate Econometrician & Data Scientist (Fixed-Term) in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the real estate and data science fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your econometric models and data analysis projects. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your Python skills and statistical techniques. Be ready to discuss how you've applied these in real-world scenarios, especially in real estate.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are proactive and take the initiative to connect with us directly.
We think you need these skills to ace Real Estate Econometrician & Data Scientist (Fixed-Term) in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your Python skills and any experience you have with statistical techniques. We want to see how you can enhance our econometric models, so don’t hold back on showcasing your relevant projects!
Tailor Your Application:Take a moment to customise your CV and cover letter for this role. Mention specific experiences that relate to real estate data and how you've collaborated with cross-functional teams in the past. It’ll make your application stand out!
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate good communication skills, so make sure your writing reflects that. Avoid jargon unless it’s necessary, and focus on what makes you a great fit for the role.
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 the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Norton Blake
✨Brush Up on Your Python Skills
Make sure you're comfortable with Python, as it's a key requirement for the role. Review relevant libraries like Pandas and NumPy, and be ready to discuss how you've used them in past projects.
✨Know Your Econometrics
Familiarise yourself with the econometric models you’ve worked on. Be prepared to explain your approach to enhancing existing models and developing new ones, especially in the context of real estate data.
✨Prepare for Technical Questions
Expect questions that test your statistical knowledge and problem-solving skills. Practice explaining complex concepts in simple terms, as communication is crucial for collaborating with cross-functional teams.
✨Show Enthusiasm for Collaboration
Norton Blake values teamwork, so highlight your experience working in cross-functional teams. Share examples of how you've successfully collaborated with others to deliver strategic insights in previous roles.
