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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 capability.
- Why this job: Join a dynamic team shaping the future of data-driven decision-making.
- Qualifications: Strong Python and SQL skills, advanced modelling experience, and effective 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.
Please note that applicants must have the right to work in the UK. Sponsorship is not available for this opportunity.
Data Scientist - Modelling & Intelligence in 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 in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your Python and SQL skills. Be ready to discuss how you've tackled messy datasets and modelled trends in past projects. Show them you’re not just about the tools, but about solving real problems!
✨Tip Number 3
Practice explaining complex concepts in simple terms. Since you'll be working with non-technical stakeholders, being able to communicate your findings clearly is key. Think of it as storytelling with data!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Data Scientist - Modelling & Intelligence in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python and SQL skills, as well as your experience with complex datasets. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Scientist position and how your modelling expertise can contribute to our analytics capability. Keep it engaging and personal – we love to see your personality!
Showcase Problem-Solving Skills: In your application, highlight specific examples where you've tackled messy data or solved complex problems. We’re looking for someone who can think critically and communicate effectively with non-technical stakeholders, so make sure to illustrate this in your writing.
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 gives you a chance to explore more about what we do at StudySmarter!
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. Be prepared to explain your thought process when tackling complex datasets and how you’ve turned analysis into actionable insights.
✨Show Off Your Python Skills
Since Python is key for this role, practice coding challenges or projects that showcase your skills. During the interview, don’t hesitate to share specific examples of how you've used Python to solve problems or model trends.
✨Communicate Like a Pro
You’ll need to engage with non-technical stakeholders, so practice explaining your work in simple terms. Think about how you can convey complex ideas clearly and effectively, as this will be crucial in demonstrating your fit for the role.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about their analytics capability and how modelling fits into their business strategy. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.