At a Glance
- Tasks: Design and deliver AI training, build dashboards, and support teams with AI tools.
- Company: Mission-driven housing company focused on affordable homes and social impact.
- Benefits: Competitive salary, impactful work, and opportunities for professional growth.
- Other info: Fast-track hiring process with direct access to startup founders.
- Why this job: Join a team making a real difference in housing through innovative AI solutions.
- Qualifications: Numerate or analytical background, strong knowledge of Claude and GitHub.
The predicted salary is between 40000 - 50000 £ per year.
The job hunting process is sh*t so we flipped it on its head. With Jumpstart, roles at high-growth startups find you.
Right now, we're hiring an AI Analyst at a social impact real estate company building affordable homes in partnership with local authorities.
The aim is to bring intelligence to the business so teams can deliver more homes, faster: making data easy to query, simplifying how teams work and helping colleagues use AI well.
What you'll do
- Help design and deliver AI training across the business
- Build dashboards, automations and other internal tools
- Be the first point of contact for questions on software and AI tools
Is this you?
- Numerate, technical or analytical background, with a degree in one of those or equivalent
- Strong working knowledge of Claude and Claude Code, and comfortable with Git Hub
- Unfazed by messy data, with things you've built yourself to show
How does Jumpstart work?
We help people land operator and generalist roles at the UK's most exciting VC-backed startups and scaleups.
- Roles, curated: skip the job boards and the applications that go nowhere. You'll hear back within days.
- Founders pitch to you: founder videos show you the role, the team and what they need before you commit to a conversation.
- Startups apply to you: companies that like your profile send you interview requests.
- No recruiters in the middle: when the interest is mutual, we introduce you straight to the founder or hiring lead.
- Respect for your time: a CV and a 45-minute screening call with us to get started.
Once you're in, you get access to Founder's Associate, Ops, Strategy, Product and AI & Automation roles from Pre-Seed to Series B+, and around half of them aren't advertised anywhere else.
Not convinced? See what Jumpstarters have to say about us.
AI Analyst in London employer: Jumpstart
Jumpstart is an exceptional employer that fosters a dynamic and collaborative work culture, perfect for those looking to make a significant impact in the startup ecosystem. With tailored 1:1 interview training and the opportunity to work closely with founders of VC-backed startups, employees are empowered to take ownership of their roles from day one, ensuring meaningful career growth and development in a fast-paced environment.
StudySmarter Expert Advice🤫
We think this is how you could land AI Analyst 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 Jumpstart!
✨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 AI Analyst at Jumpstart.
✨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 Jumpstart.
✨Apply Directly through Our Website
When you find a suitable opening like AI Analyst at Jumpstart, 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 AI Analyst 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 Jumpstart, 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 Jumpstart. 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 Jumpstart
✨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 Jumpstart!
✨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.
