At a Glance
- Tasks: Explore data, solve real problems, and build impactful models.
- Company: Leading independent property consultancy with a focus on analytics.
- Benefits: Competitive salary, hybrid work model, and a chance to shape data usage.
- Other info: Join a growing team with significant influence on future data strategies.
- Why this job: Be at the forefront of data-driven decision-making in a dynamic team.
- Qualifications: Strong Python and SQL skills, advanced modelling experience, and clear communication.
The predicted salary is between 69000 - 69000 £ per year.
London Hybrid (3 days in the office, 2 days from home)
6 month Fixed Term Contract
Salary to £69,000 pro rata experience dependent
What if modelling actually sat at the centre of business decisions, not just reporting? We're working with a leading independent property consultancy, building out a new analytics capability, where modelling is becoming central to how the business operates. This isn't a reporting role. It's focused on exploring data and solving real problems. Recent work has included:
- Clustering complex datasets
- Modelling trends to support commercial decisions
- Understanding patterns and behaviours across large datasets
You’ll work closely with stakeholders to shape problems, build models and turn analysis into something people can actually use. Python is key, with a strong focus on modelling and thinking rather than tooling. We’re looking for someone who is comfortable working with messy data, enjoys problem solving and can communicate clearly with non-technical stakeholders.
What you’ll bring:
- Strong Python and SQL
- Advanced modelling capability
- Experience working with complex datasets
- Strong communication and stakeholder engagement
- Experience working with spatial and non-spatial data desirable
- Exposure to Azure or Databricks beneficial
- Degree in a quantitative field, MSc or higher beneficial
It’s an opportunity to join a team that is still taking shape, with real influence over how data is used going forward. Get in touch to learn more.
Please note that applicants must have the right to work in the UK. Sponsorship is not available for this opportunity.
Data Scientist - Modelling and Analytics. Job in London LilyLifestyle Jobs employer: United Cerebral Palsy of Georgia
Join a forward-thinking independent property consultancy in London, where your role as a Data Scientist will be pivotal in shaping the future of analytics within the business. With a hybrid work model that promotes flexibility and a collaborative culture, you'll have the opportunity to engage with stakeholders, tackle complex datasets, and drive impactful decision-making. The company values employee growth, offering a dynamic environment where your modelling expertise can flourish and contribute to meaningful outcomes.
Contact Details:
United Cerebral Palsy of Georgia Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - Modelling and Analytics. Job in London LilyLifestyle Jobs
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at companies you're interested in. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your modelling projects and data analyses. This is your chance to demonstrate how you tackle messy data and solve real problems, which is exactly what employers are looking for.
✨Tip Number 3
Prepare for interviews by practising common data science questions and scenarios. Think about how you would explain complex concepts to non-technical stakeholders, as communication is key in this role.
✨Tip Number 4
Don't forget to apply through our website! We have loads of exciting opportunities, and applying directly can give you a better chance of getting noticed. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Data Scientist - Modelling and Analytics. Job in London LilyLifestyle Jobs
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Data Scientist - Modelling & Intelligence. Highlight your experience with Python, SQL, and any advanced modelling techniques you've used. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our analytics capability. Don't forget to mention your problem-solving skills and ability to communicate with non-technical stakeholders.
Showcase Relevant Projects:If you've worked on projects involving complex datasets or modelling trends, make sure to include them in your application. We love seeing real examples of how you've tackled challenges and delivered results!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at United Cerebral Palsy of Georgia
✨Know Your Modelling Inside Out
Make sure you brush up on your modelling techniques and be ready to discuss how you've applied them in real-world scenarios. Prepare examples of how you've tackled complex datasets and the impact your models had on decision-making.
✨Communicate Like a Pro
Since you'll be working with non-technical stakeholders, practice explaining your work in simple terms. Think about how you can convey complex ideas clearly and effectively, so everyone understands the value of your analysis.
✨Get Familiar with Python and SQL
As Python is key for this role, ensure you're comfortable discussing your coding experience. Be prepared to showcase your skills through practical examples or even a coding challenge during the interview.
✨Show Your Problem-Solving Skills
Prepare to discuss specific problems you've solved using data analytics. Highlight your thought process and how you approached messy data, as this will demonstrate your analytical mindset and ability to think critically.
