At a Glance
- Tasks: Join a dynamic team to build and automate data pipelines for AI-driven property tech.
- Company: Homesearch, a leading player in the PropTech industry with a focus on innovation.
- Benefits: Enjoy hybrid work, competitive pay, and opportunities for professional growth.
- Other info: Collaborative environment with strong career advancement potential.
- Why this job: Make a real impact by turning ambitious AI ideas into production-ready solutions.
- Qualifications: Experience in data engineering and a passion for AI technologies.
The predicted salary is between 63000 - 77000 £ per year.
Homesearch is building a scalable data and AI platform to power its property technology services for estate agents across the UK.
You will join a strong Data & AI team to automate data pipelines, strengthen platform foundations and ship production-grade AI models.
This hands-on role sits in a cloud environment with cross-functional collaboration.
The team focuses on reliable, high-performance services and working closely with data scientists to turn ambitious AI ideas into production-ready
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Senior Data & AI Platform Engineer — Hybrid (PropTech) in London employer: Story Terrace Inc.
At Story Terrace Inc., we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. Our commitment to employee growth is evident through continuous learning opportunities and the chance to lead impactful projects in the evolving field of trade credit insurance. Join us to be part of a forward-thinking team that values your contributions and supports your professional journey.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data & AI Platform Engineer — Hybrid (PropTech) in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Senior Data & AI Platform Engineer — Hybrid (PropTech) 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 Story Terrace Inc., 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 Story Terrace Inc.. 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 Story Terrace Inc.
✨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!
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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 Story Terrace Inc.!
✨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.
