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- Tasks: Join a dynamic team to deliver innovative data-driven insights in real estate.
- Company: Leading property and research firm with a focus on collaboration.
- Benefits: Fixed-term contract with opportunities for professional growth and development.
- Other info: Work in a vibrant London office with a supportive team environment.
- Why this job: Make an impact by applying your analytical skills to real-world property challenges.
- Qualifications: Degree in a quantitative field and 4+ years of relevant experience required.
The predicted salary is between 50000 - 65000 £ per year.
Be part of a team delivering innovative data-driven insight and analysis within a leading property and research environment. An exciting opportunity has arisen for an enthusiastic and innovative Econometrician/Data Scientist to join a market-leading Modelling and Intelligence team. The successful candidate will work on research projects focused on real estate modelling, forecasting, and analytical insight generation.
The role will involve enhancing existing econometric and statistical models, while also developing new analytical projects in collaboration with stakeholders across multiple real estate sectors. This is a research-oriented position ideally suited to candidates with experience applying econometric, statistical, and data science techniques to solve commercial business problems. Based in a central London office, the role plays a key part in delivering analytical insight and strategic intelligence to internal stakeholders and clients across an international network. Reporting to the Head of Data Science, the position is offered on a fixed-term contract basis.
Candidates should be comfortable working independently while also collaborating closely with cross-functional analytics and research teams. Prior experience within the real estate sector would be advantageous, although not essential.
Operating EnvironmentThe role sits within the Modelling and Intelligence function as part of a wider Global Research division. Day-to-day management will be provided by the Head of Data Science.
Technical Responsibilities- Collaborate with colleagues across Data Science, Data Engineering, Geospatial, and Innovation teams to deliver econometric and data science analysis relating to real estate trends and market behaviour.
- Apply advanced statistical and econometric techniques to complex datasets.
- Strong Python capability is essential.
- Experience with Databricks and Azure DevOps is highly desirable, though not mandatory.
- Manipulate, cleanse, and analyse large proprietary and external datasets.
- Produce regular analytical outputs, dashboards, reports, and data books for internal stakeholders.
- Clearly communicate findings and insights to both technical and non-technical audiences.
- Relevant university degree in a quantitative discipline.
- Minimum of 4 years' relevant professional experience.
- Strong econometric and statistical modelling expertise.
- Excellent analytical and problem-solving skills.
- High attention to detail and accuracy in data analysis and reporting.
- Experience or understanding of the real estate sector desirable.
- Strong interpersonal and communication skills suited to a collaborative professional environment.
- Self-motivated with the ability to independently manage projects and deadlines.
Econometrician/Statistician (Fixed-Term Contract) in London employer: Norton Blake
Contact Detail:
Norton Blake Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Econometrician/Statistician (Fixed-Term Contract) in London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend events, join online forums, and don’t be shy about reaching out to professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Show Off Your Skills
When you get the chance to chat with potential employers, make sure to highlight your econometric and statistical skills. Share specific examples of how you've used these techniques to solve real-world problems. We want to see your passion and expertise shine through!
✨Prepare for Interviews
Do your homework before interviews! Research the company and its projects, especially in the real estate sector. We recommend preparing some thoughtful questions to ask your interviewers, showing that you’re genuinely interested in their work and how you can contribute.
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to engage with us directly.
We think you need these skills to ace Econometrician/Statistician (Fixed-Term Contract) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Econometrician/Statistician role. Highlight your econometric and statistical modelling expertise, and don’t forget to mention any relevant projects or tools you've used, like Python or Databricks.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how your background in data science can contribute to our Modelling and Intelligence team. Be genuine and let your enthusiasm show!
Showcase Your Analytical Skills: In your application, provide examples of how you've applied advanced statistical techniques to solve real-world problems. This could be through past projects or experiences that demonstrate your analytical prowess and attention to detail.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Norton Blake
✨Know Your Econometrics
Brush up on your econometric and statistical modelling techniques. Be ready to discuss specific methods you've used in past projects, especially those that relate to real estate. This shows you not only understand the theory but can apply it practically.
✨Showcase Your Python Skills
Since strong Python capability is essential for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem or explain how you've used Python in previous analyses. Have examples ready that highlight your proficiency.
✨Communicate Clearly
You’ll need to convey complex findings to both technical and non-technical audiences. Practice explaining your past projects in simple terms. This will help you stand out as someone who can bridge the gap between data science and business insights.
✨Collaborative Mindset
This role involves working closely with various teams. Be prepared to discuss how you've successfully collaborated in the past. Share examples of how you’ve worked with cross-functional teams to achieve common goals, especially in data-driven projects.