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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 and innovation.
- 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 data science skills to real-world challenges.
- Qualifications: Degree in a quantitative field and 4+ years of relevant experience required.
The predicted salary is between 50000 - 70000 £ 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.
Data Scientist in City of London employer: Norton Blake
Contact Detail:
Norton Blake Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in City of 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’re always on the lookout for innovative minds to join our Modelling and Intelligence team. Keep an eye on our job postings and make sure your application stands out by tailoring it to the role.
We think you need these skills to ace Data Scientist in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Scientist role. 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: Your cover letter is your chance to shine! Use it to explain why you're excited about this opportunity at StudySmarter and how your background makes you a perfect fit for our Modelling and Intelligence team.
Showcase Your Technical Skills: Since strong Python capability is essential, make sure to include specific examples of how you've used Python in your previous roles. If you have experience with Databricks or Azure DevOps, definitely mention 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 the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Norton Blake
✨Know Your Data Science Stuff
Make sure you 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 trends. The more examples you can provide, the better!
✨Show Off Your Python Skills
Since strong Python capability is essential for this role, be prepared to demonstrate your coding skills. You might even want to practice solving a few data manipulation problems beforehand to showcase your expertise during the interview.
✨Communicate Clearly
You’ll need to explain 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 show that you can bridge the gap between data and decision-making.
✨Collaborate Like a Pro
This role involves working closely with various teams, so highlight your teamwork experience. Think of examples where you’ve successfully collaborated on projects, especially those that required input from different disciplines. It’s all about showing you can work well with others!