At a Glance
- Tasks: Explore data, solve real problems, and build impactful models for business decisions.
- Company: Leading independent property consultancy with a focus on analytics.
- Benefits: Competitive salary, hybrid work model, and opportunity to shape data usage.
- Other info: Exciting chance to work with complex datasets in a growing analytics team.
- Why this job: Join a dynamic team and influence how data drives business strategy.
- Qualifications: Strong Python and SQL skills, advanced modelling capability, and good 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, from clustering complex datasets to modelling trends and uncovering patterns in behaviour that support commercial decision making.
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 Intelligence - London employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Modelling Intelligence - London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for those interviews! Research the company and its projects, especially around modelling and analytics. Be ready to discuss how your skills in Python and SQL can solve their real-world problems.
✨Tip Number 3
Show off your problem-solving skills! Bring examples of how you've tackled messy data or complex datasets in the past. This will demonstrate your capability and make you stand out.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Scientist - Modelling Intelligence - London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and advanced modelling. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
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. Keep it engaging and relevant to the job description.
Showcase Problem-Solving Skills: In your application, give examples of how you've tackled complex datasets and solved real problems. We love seeing how you think and approach challenges, so don’t hold back on sharing your thought process!
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 growing team!
How to prepare for a job interview at Datatech Analytics
✨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. Think about specific examples where your models have influenced decision-making, as this will show your understanding of the role's focus on practical application.
✨Get Comfortable with Data Messiness
Since the job involves working with messy datasets, prepare to talk about your experiences dealing with data quality issues. Share strategies you've used to clean and organise data, as well as how you’ve turned that data into actionable insights.
✨Communicate Like a Pro
You’ll need to explain complex concepts to non-technical stakeholders, so practice simplifying your explanations. Use analogies or visual aids if necessary, and be ready to demonstrate how you can bridge the gap between technical jargon and everyday language.
✨Familiarise Yourself with Python and SQL
Since strong Python and SQL skills are crucial for this role, make sure you can discuss your experience with these languages confidently. Be prepared to answer technical questions or even solve problems on the spot, showcasing your coding skills and thought process.