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- Tasks: Join a team delivering innovative data insights in real estate modelling and analysis.
- Company: Leading property and research firm with a focus on data-driven solutions.
- Benefits: Fixed-term contract, competitive pay, and opportunities for professional growth.
- Other info: Collaborative environment with cross-functional teams and exciting projects.
- Why this job: Make an impact by applying your statistical skills to real-world business challenges.
- Qualifications: Experience in econometrics, statistics, and data science; strong Python skills required.
The predicted salary is between 40000 - 50000 £ 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. 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.
- 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.
- Strong Python capability is essential.
- Experience with Databricks and Azure DevOps is highly desirable, though not mandatory.
- Produce regular analytical outputs, dashboards, reports, and data books for internal stakeholders.
- High attention to detail and accuracy in data analysis and reporting.
- Self-motivated with the ability to independently manage projects and deadlines.
Medical Research Statistician in London employer: Norton Blake
Contact Detail:
Norton Blake Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Medical Research 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 those interviews! Research the company and its projects thoroughly. Be ready to discuss how your experience with Python and data analysis can contribute to their goals. Practise common interview questions and think of examples that highlight your problem-solving skills.
✨Tip Number 4
Apply through our website! We’ve got a streamlined application process that makes it easy for you to showcase your talents. Plus, it shows you’re genuinely interested in joining our team. Don’t miss out on the chance to be part of something great!
We think you need these skills to ace Medical Research 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 expertise, especially any projects related to real estate modelling or data science techniques.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this role. Share specific examples of how you've applied your skills in previous roles, particularly in delivering analytical insights or collaborating with cross-functional teams.
Showcase Your Technical Skills: Since strong Python capability is essential, don’t forget to mention any relevant projects or experiences where you’ve used Python. If you have experience with Databricks or Azure DevOps, make sure to include that too!
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 in our Modelling and Intelligence team.
How to prepare for a job interview at Norton Blake
✨Know Your Stats
Brush up on your econometric and statistical techniques before the interview. Be ready to discuss how you've applied these methods in past projects, especially in real estate modelling or forecasting.
✨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 your approach to data analysis using Python during the interview.
✨Collaborative Spirit
This position involves working closely with various teams. Be prepared to share examples of how you've successfully collaborated with cross-functional teams in the past, highlighting your communication and teamwork skills.
✨Attention to Detail
Given the emphasis on accuracy in data analysis and reporting, think of specific instances where your attention to detail made a difference in your work. This will show that you understand the importance of precision in this role.