At a Glance
- Tasks: Lead data science initiatives, develop AI models, and drive impactful insights for property intelligence.
- Company: Join Planna, a pioneering tech company transforming property management with AI.
- Benefits: Competitive salary, share options, 29 days leave, and flexible hybrid working.
- Other info: Dynamic team environment with opportunities for growth and innovation.
- Why this job: Shape the future of AI in property and see your work make a real difference.
- Qualifications: Experience in machine learning, computer vision, and strong Python skills required.
The predicted salary is between 60000 - 84000 £ per year.
Location: London, Hammersmith/ Hybrid
Salary: £70,000 – £100,000 DOE (Plus share options)
About Us
Planna is redefining how homeowners find, understand, maintain, and improve their properties using AI. Our platform powers smarter insights for leading banks and insurance companies, combining data science, computer vision, and large language models to create a new standard in property intelligence.
About The Role
You’ll shape our AI roadmap from the ground up, influence product direction, and see your models make an immediate impact.
- Lead Planna’s data science activities — from research and model development to production deployment.
- Design and implement vision, predictive, and generative AI models that directly power our core products.
- Apply advanced statistical analysis, experimentation, and causal reasoning to extract insight and measure impact.
- Contribute to and guide LLM fine-tuning and multimodal architectures for property intelligence (preferred experience).
- Work cross-functionally with engineering, product, and design to align technical outcomes with commercial priorities.
- Mentor and set standards for scientific excellence across the data function.
About You
- You have relevant and impactful experience of developing and deploying machine learning models.
- Experience of large language models and generative AI frameworks would be welcomed.
- Can help support organisational capabilities around machine learning and generative AI.
- You know how to understand and tackle loosely defined problems with machine learning solutions.
- You can communicate findings to technical and non-technical audiences effectively.
- You are curious and have a creative mind, coupled with first rate critical thinking skills.
- You have experience working within cross functional teams and collaborating across teams.
- You have the ability to challenge and question ideas, openly and honestly, whilst providing solutions and options.
- You keep abreast of the latest advancements in data science, machine learning and generative AI.
- Deep grounding in statistics, data science, and applied ML.
- Strong experience with computer vision and generative/LLM systems.
- Proficiency in Python, NoSQL (MongoDB), and frameworks such as PyTorch or TensorFlow.
- Based in London or willing to travel to Hammersmith at least 2/3 days per week.
Bonus Points
- Experience with automated valuation models.
- Background in Proptech, Fintech, insurance, or financial services data ecosystems.
- Bachelor’s, Master’s or PhD in a quantitative field. For example, Statistics, Computer Science, Data Science, Mathematics, or a related STEM subject degree.
What We Offer
- Competitive compensation package
- Staff share options pool.
- 29 days annual leave
- Flexible, hybrid working arrangements.
- New Macbook
Ultimately, we care much more about the person you are, and how you think and approach things, than a list of qualifications and buzzwords on a CV. Even if you can’t say ‘yes’ to all the above, but are smart, self-motivated and passionate about data and AI, then get in touch.
📩 Apply to careers@planna.co with your CV and cover letter.
Lead Data Scientist employer: Planna Ltd.
At Planna, we pride ourselves on being an innovative employer that champions creativity and collaboration in the heart of London. Our flexible hybrid working arrangements, competitive compensation packages, and commitment to employee growth through mentorship and cutting-edge projects make us an exceptional place for data science professionals. Join us to lead transformative AI initiatives while enjoying a supportive work culture that values your unique contributions and fosters personal development.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Scientist
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Planna Ltd.!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Lead Data Scientist at Planna Ltd..
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Planna Ltd..
✨Apply Directly through Our Website
When you find a suitable opening like Lead Data Scientist at Planna Ltd., make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Lead Data Scientist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Planna Ltd., your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Planna Ltd.. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Planna Ltd.
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Planna Ltd.!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.