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- 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.
- 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.
- Other info: Open to diverse applicants; growth mindset and eagerness to learn are valued.
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.)
We want to make Zoopla more welcoming, fair and representative every day. We\’ll consider everyone who applies for this role in the same way, regardless of your ethnicity, colour, national origin, religion, sexual orientation, gender, gender identity, age, physical disability, neurodiversity status, family or parental status, or how long you\’ve spent unemployed.
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
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Seniority level
Mid-Senior level
Employment type
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Employment type
Full-time
Job function
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Industries
IT Services and IT Consulting
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Senior Data Scientist employer: Zoopla
Contact Detail:
Zoopla Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Familiarise yourself with Zoopla's mission and values. Understanding their goal of helping people make better home decisions will allow you to align your passion for data science with their objectives, making you a more appealing candidate.
✨Tip Number 2
Showcase your experience with machine learning applications and AI in your discussions. Be prepared to discuss specific projects where you've implemented these technologies, as this will demonstrate your hands-on expertise and problem-solving skills.
✨Tip Number 3
Highlight your collaborative experiences with cross-functional teams. Since the role involves working closely with various stakeholders, sharing examples of successful teamwork will illustrate your ability to communicate complex ideas effectively.
✨Tip Number 4
Emphasise your growth mindset and eagerness to learn. Zoopla values candidates who are passionate about expanding their skills, so expressing your commitment to continuous improvement will resonate well with their team culture.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, machine learning, and AI. Emphasise your Python skills and any projects that demonstrate your ability to design and implement machine learning pipelines.
Craft a Compelling Cover Letter: In your cover letter, express your passion for Zoopla's mission and how your background aligns with their goals. Mention specific experiences that showcase your problem-solving abilities and your growth mindset.
Showcase Your Technical Skills: Include a section in your application that lists your technical skills, particularly those mentioned in the job description, such as familiarity with Docker, AWS, and data science libraries like Scikit-learn and TensorFlow.
Highlight Collaboration Experience: Since the role involves working with cross-functional teams, provide examples of past collaborations with analysts, engineers, or product managers. This will demonstrate your ability to communicate complex ideas effectively.
How to prepare for a job interview at Zoopla
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and data science libraries like Scikit-learn and TensorFlow. Bring examples of projects where you've implemented machine learning solutions, as this will demonstrate your hands-on expertise.
✨Understand Zoopla's Mission
Familiarise yourself with Zoopla's mission to improve home decisions for the nation. Be ready to articulate how your skills in data science and AI can contribute to this goal, showing your passion for the industry.
✨Prepare for Problem-Solving Questions
Expect questions that assess your ability to identify problems suitable for data science solutions. Think of specific instances where you formulated hypotheses, ran experiments, and drew conclusions, as these experiences will highlight your critical thinking skills.
✨Emphasise Collaboration Experience
Since the role involves working with cross-functional teams, be ready to discuss your past experiences collaborating with various stakeholders. Highlight your communication skills and how you’ve successfully conveyed complex ideas to non-technical team members.