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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 challenges.
- Qualifications: Degree in a quantitative field and strong experience in econometrics and statistics.
The predicted salary is between 50000 - 60000 £ 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 Environment
The 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.
Experience & Skills
- 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.
Statistician in London employer: Norton Blake
Contact Detail:
Norton Blake Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Statistician in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the real estate and data science sectors on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your econometric and statistical projects. Use platforms like GitHub to share your code and analyses. This not only demonstrates your expertise but also gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Python, Databricks, and Azure DevOps. Practice explaining complex concepts in simple terms, as you'll need to communicate findings to both technical and non-technical audiences.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to highlight your relevant experience and how you can contribute to our Modelling and Intelligence function.
We think you need these skills to ace Statistician in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your econometric and statistical modelling expertise, and don’t forget to mention any relevant projects you've worked on in the real estate sector.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share your passion for data science and how your background aligns with our innovative Modelling and Intelligence team. Be sure to mention specific techniques or tools you’ve used!
Showcase Your Technical Skills: Since strong Python capability is essential, make sure to include any relevant programming projects or experiences. If you’ve worked with Databricks or Azure DevOps, give us the details – we love seeing practical applications of your skills!
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 shows you’re keen on joining our team!
How to prepare for a job interview at Norton Blake
✨Know Your Numbers
Brush up on your econometric and statistical modelling techniques. Be ready to discuss specific projects where you've applied these skills, especially in relation to real estate or similar sectors. This will show your expertise and how you can contribute to their team.
✨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 on the spot, so practice common data manipulation tasks and be ready to explain your thought process.
✨Communicate Clearly
You’ll need to convey complex findings to both technical and non-technical audiences. Practice summarising your past projects in simple terms, focusing on the insights gained and their impact. This will highlight your communication skills and ability to collaborate effectively.
✨Prepare Questions
Think of insightful questions to ask about the team’s current projects or challenges they face in the real estate sector. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.