At a Glance
- Tasks: Design and implement cutting-edge Data Science solutions and AI-driven features.
- Company: Zoopla is a leading UK property brand, helping millions make better home decisions.
- Benefits: Enjoy flexible working, 25 days leave, volunteering days, and wellness perks.
- Other info: Open to diverse applicants; growth mindset and eagerness to learn are valued.
- Why this job: Join a mission-driven team shaping the future of property technology with innovative AI.
- Qualifications: Advanced degree in a quantitative field and strong Python skills required.
The predicted salary is between 43200 - 72000 £ per year.
3 weeks ago Be among the first 25 applicants
Hybrid Working Pattern - 2 days per week from Tower Bridge office
Zoopla is one of the UK\'s most instantly recognisable property brands. In fact, we\'re known and loved by over 91% of the nation (and we\'re working hard on the other 9%). Our mission is to help the nation make better home decisions - by connecting everyone to their home and giving them personalised insights to help with moving, managing or financing. Over 50 million people visit Zoopla every month to access exclusive data and information on every UK property, search over 500,000 homes for sale and rent, find the best agents and secure the latest mortgage deals.
Recognising the rapid development of AI, Zoopla is investing in Data Science and AI to ensure we remain at the forefront of innovation within the property technology space. When joining our team, you will be instrumental in shaping how AI is utilised not only within Zoopla, but within the industry itself. You\'ll be designing and implementing cutting-edge Data Science solutions, robust machine learning pipelines, and developing novel AI-driven features that will transform how people find their next dream home. This position offers a great opportunity to work within cross-functional teams, collaborating closely with analysts, software engineers, product managers, product designers, and senior stakeholders. Furthermore, you will play a key role in helping to upskill non-Data Scientists in data science, machine learning and AI best practices.
At Zoopla we recognise that there is always room to grow and learn within our respective roles. Even if you don\'t have all the desired experiences and skills, please don\'t be put off from applying. It\'s more important that you\'re eager to learn and grow as a Data Scientist and AI practitioner, and are passionate about our mission to improve the home moving and owning experience for everyone. If you have the following, you\'ll hit the ground running:
- An advanced degree in Computer Science, Mathematics, Physics or other quantitative discipline
- Strong Python experience and knowledge, with the ability to write stable, scalable and maintainable code
- You worked in an R&D environment and/or you are intimately familiar with the fundamentals of the scientific research method: critical thinking, formulating hypotheses, running experiments, drawing conclusions etc
- Experienced at identifying problems that can be solved with data science, machine learning and AI, and delivering them from prototype through to production
- Strong understanding of machine learning applications, development life cycle processes and tools: CI/CD, version control (git), testing frameworks, MLOps
- Comfortable working with Docker and containerised applications
- Experience with data science Python libraries such as Scikit-learn, Pandas, NumPy, Pytorch, Tensorflow, etc
- Experience designing and and implementing machine learning pipelines
- Experience and expertise in AI and its various components (e.g. embeddings, transformers, MCP)
- Experience designing and and implementing production ready AI applications
- Experience using AWS or similar cloud computing platform
- Experience working with Natural Language Processing and Computer Vision
- A growth mindset, and are passionate about expanding not only your own capabilities, but also your colleagues\'.
- Great communicator - convey complex ideas and solutions in clear, precise and accessible ways
- Experience working with cross-functional teams, and being able to collaborate with people of various levels of technical expertise (data scientists, data analysts, software engineers, product managers, senior stakeholders, etc.)
Benefits
- Everyday Flex - greater flexibility over where and when you work
- 25 days annual leave + extra days for years of service
- Day off for volunteering & Digital detox day
- Festive Closure - business closed for period between Christmas and New Year
- Cycle to work and electric car schemes
- Free Calm App membership
- Enhanced Parental leave
- Fertility Treatment Financial Support
- Group Income Protection and private medical insurance
- Gym on-site in London - or membership in regional offices
- 7.5% pension contribution by the company
- Discretionary annual bonus up to 10% of base salary
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Industries
IT Services and IT Consulting
Referrals increase your chances of interviewing at Zoopla by 2x
Get notified about new Senior Data Scientist jobs in London, England, United Kingdom .
London, England, United Kingdom 1 week ago
London, England, United Kingdom 1 week ago
London, England, United Kingdom 1 week ago
Marketing Data Scientist – Digital Business – London
Data Science Manager – Insights Consultancy
London, England, United Kingdom 2 weeks ago
Associate Scientist, Process Development
Surrey, England, United Kingdom 3 days ago
London, England, United Kingdom £100,000.00-£120,000.00 1 month ago
London, England, United Kingdom 1 week ago
Director of Data Science - Opportunity in Sydney, Australia
London, England, United Kingdom 1 week ago
Manager, Lead Research Scientist, Training Data (Foundational Research)
London, England, United Kingdom 2 weeks ago
London Area, United Kingdom £160,000.00-£160,000.00 3 hours ago
Data Scientist - Borrow Analytics Manager
London, England, United Kingdom 1 week ago
London, England, United Kingdom 1 day ago
London, England, United Kingdom 2 days ago
London, England, United Kingdom 2 weeks ago
London, England, United Kingdom 3 weeks ago
Data Science Manager - Tax Technology and Transformation
London, England, United Kingdom 1 day ago
Southwark, England, United Kingdom 5 days ago
Data Science Manager - Marketing & Customer Generative AI Enterprise Architect
London, England, United Kingdom 1 month ago
We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-LjbffrSenior Data Scientist in London employer: Zoopla
Zoopla is an exceptional employer that fosters a culture of innovation and collaboration, particularly in the dynamic field of Data Science and AI. With a hybrid working model, generous benefits including enhanced parental leave, and a commitment to employee growth through continuous learning opportunities, Zoopla empowers its team members to thrive both personally and professionally. Located near Tower Bridge, employees enjoy a vibrant work environment with access to on-site amenities and a supportive community dedicated to making a positive impact in the property technology space.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist in London
✨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 Zoopla!
✨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 Senior Data Scientist at Zoopla.
✨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 Zoopla.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Scientist at Zoopla, 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 Senior Data Scientist in London
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 Zoopla, 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 Zoopla. 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 Zoopla
✨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 Zoopla!
✨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.
