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- 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: Opportunity for career growth in a developing analytics environment.
- Why this job: Join a dynamic team shaping the future of data-driven decision-making.
- Qualifications: Strong Python and SQL skills, advanced modelling capability, 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 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. Please note that applicants must have the right to work in the UK. Sponsorship is not available for this opportunity.
Data Scientist - Modelling & Intelligence employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Modelling & Intelligence
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working in data science roles. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Prepare for interviews by brushing up on your Python and SQL skills. Be ready to discuss your experience with complex datasets and modelling techniques. Practising common data science interview questions can really help you stand out!
✨Tip Number 3
Showcase your problem-solving skills! During interviews, share specific examples of how you've tackled messy data or complex modelling challenges. This will demonstrate your ability to think critically and communicate effectively with stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals who can bring their unique skills to our team. Plus, it’s a great way to ensure your application gets the attention it deserves!
We think you need these skills to ace Data Scientist - Modelling & Intelligence
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 and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your background in data science can help us shape our analytics capability. Keep it engaging and personal!
Showcase Problem-Solving Skills: In your application, give examples of how you've tackled complex datasets and turned analysis into actionable insights. We love seeing candidates who can think critically and communicate effectively with non-technical stakeholders.
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. Don’t miss out!
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 business decisions, as this will show your understanding of the role's focus on practical applications.
✨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, and how you've turned that into actionable insights for stakeholders.
✨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, 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 abilities and thought process.