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 opportunity for influence.
- Other info: Join a growing team with significant career development potential.
- Why this job: Be at the forefront of data-driven decision-making in a dynamic team.
- Qualifications: Strong Python and SQL skills, advanced modelling capability, and good communication.
The predicted salary is between 69000 - 69000 £ per year.
Hybrid (3 days in the office, 2 days from home) 6 month Fixed Term Contract Salary to 69,000 pro rata experience dependent Ref: J13096
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. Enjoy a hybrid work culture that promotes flexibility and collaboration, alongside opportunities for professional growth in a dynamic environment that values innovative problem-solving and effective communication. With a competitive salary and the chance to influence key business decisions through advanced modelling, this is an excellent opportunity for those looking to make a meaningful impact.
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, especially those already working at companies you're interested in. A friendly chat can open doors and give you insights that job descriptions just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your modelling projects and data analyses. This is your chance to demonstrate your Python prowess and problem-solving abilities in a way that words on a CV can't.
✨Tip Number 3
Prepare for interviews by practising common data science scenarios. Think about how you'd approach messy datasets or communicate complex findings to non-technical stakeholders. We want you to shine!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to connect directly with us.
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 concisely, 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 answer technical questions or even solve problems on the spot. Brush up on SQL too, as it’s essential for handling data.
✨Show Your Problem-Solving Skills
Think of specific examples where you've solved real problems using data. Be ready to walk through your thought process and how you approached challenges, especially when dealing with messy data.
