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- Tasks: Develop geospatial data products and perform research to create intelligent insights.
- Company: Join Addresscloud, an award-winning tech company with a people-first culture.
- Benefits: Enjoy work/life balance, professional growth opportunities, and a secure future with pension contributions.
- Why this job: Make a real impact by turning complex data into meaningful intelligence for insurers.
- Qualifications: Strong experience in data science, Python, SQL, and cloud platforms.
- Other info: Diverse and inclusive workplace that values every individual.
The predicted salary is between 36000 - 60000 £ per year.
We’re hiring - join early, grow fast! At Addresscloud, we turn complex geospatial data into meaningful, real-time intelligence that helps insurers make smarter, faster decisions. Our platform powers hundreds of underwriters across North America and Europe, and we’re only accelerating from here. We pair elite engineering with a supportive, people-first culture.
This role is for you if you love:
- Focus on the development of geospatial and property data products that help customers understand buildings, places, and associated risks.
- Working hands-on with multiple internal and external structured and unstructured data, performing research and experimentation to combine them into coherent, informed views of the world.
- Developing analytical models, heuristics, and features that can be deployed into production and scaled globally.
- Influencing direction through your work, focusing on detail, and using technical judgement to lead the development of data-driven geospatial and property intelligence products.
What you will do:
- Develop Geospatial & Property Data Products: Design and build data products that describe buildings, addresses, and geographic context at scale.
- Research & Data Synthesis: Perform R&D to explore and evaluate new data sources, methodologies, and modelling approaches.
- Modelling & Analytics: Use Databricks as a primary environment for exploration, feature engineering, and model development.
- Production & Collaboration: Work with data engineers and backend engineers to productionise models and data products.
What you bring:
- Data Science & Modelling: Strong experience developing data products, analytical models, or derived features from complex real-world datasets.
- Computer Vision: Ability to develop or implement Computer Vision models (e.g., Segment Anything Model).
- Data Research & Synthesis: Ability to perform R&D to evaluate, combine, and reason about multiple data sources to produce probabilistic views of property or geographic risk.
- Unstructured Data Intel: Processing (NLP) to extract structured features from unstructured geospatial text (e.g., planning applications, property listings, or surveyor reports).
- Python & SQL: Strong Python and SQL skills for data analysis, modelling, and production-ready data pipelines.
- Data Quality & Evaluation: Strong Python and SQL skills for data analysis, modelling, and production-ready data pipelines.
- Cloud Data Platforms: Familiarity with cloud-based data platforms (e.g. AWS) and how data systems operate in production environments.
What you’ll love about us:
- Award-Winning Culture: Great Place to Work & The Sunday Times Best Places to Work.
- Work/Life Balance: We genuinely prioritise balance; work stays at work.
- Secure Your Future: Salary exchange with a 5% pension contribution and life insurance.
- Professional Growth: Time and resources allocated for your development.
- Team Connections: Quarterly meetups.
Equality & Diversity: We’re building a workplace where everyone belongs. We value diversity, celebrate differences, and support each other to thrive. Applications are welcome from all backgrounds, and we’re happy to make adjustments throughout the recruitment process if needed.
Senior Data Scientist in London employer: Addresscloud
Contact Detail:
Addresscloud Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Addresscloud on LinkedIn. A friendly chat can give you insider info and might just get your application noticed.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your experience with geospatial data and modelling. Bring it up during interviews to demonstrate your hands-on expertise.
✨Tip Number 3
Be ready to discuss your problem-solving approach. Addresscloud loves ambition, so share examples of how you've tackled complex data challenges in the past.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our awesome team.
We think you need these skills to ace Senior Data Scientist in London
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for data science and geospatial intelligence shine through. We want to see how your ambition aligns with our mission to empower brilliant humans!
Tailor Your Experience: Make sure to highlight your relevant experience in developing data products and analytical models. We love seeing how your skills can contribute to our platform, so be specific about your past projects!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the Senior Data Scientist role.
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Addresscloud
✨Know Your Data Inside Out
As a Senior Data Scientist, you'll be expected to have a strong grasp of geospatial and property data. Make sure you can discuss your previous projects in detail, especially how you developed analytical models or worked with unstructured data. Be ready to explain your thought process and the impact of your work.
✨Showcase Your Problem-Solving Skills
Addresscloud values ambition and problem-solving. Prepare examples of challenges you've faced in past roles and how you overcame them. Use the STAR method (Situation, Task, Action, Result) to structure your responses, making it clear how your solutions benefited your team or project.
✨Familiarise Yourself with Databricks
Since Databricks is a primary environment for exploration and model development, brush up on your skills with this platform. Be prepared to discuss how you've used it in the past, particularly for feature engineering and model productionisation. If you can, bring examples of your work to share during the interview.
✨Emphasise Collaboration
This role involves working closely with data engineers and backend engineers. Highlight your experience in collaborative projects and how you’ve successfully worked in cross-functional teams. Discuss any tools or methodologies you’ve used to enhance teamwork and communication.
