At a Glance
- Tasks: Lead the transformation of data systems into a cohesive, reliable layer that drives decision-making.
- Company: Exciting tech company focused on design and human creativity, backed by top investors.
- Benefits: Competitive salary, collaborative environment, and opportunities for personal growth.
- Other info: Join a dynamic team in London or San Francisco, with a focus on collaboration.
- Why this job: Make a real impact by shaping the future of data in a fast-growing company.
- Qualifications: Strong coding skills, experience in complex environments, and ability to connect disparate systems.
About Nothing
Nothing exists to make tech feel exciting again. We're building a different kind of technology company, one that puts design, emotion, and human creativity at the heart of everything we do. From the way our products look and feel to how we communicate and show up in culture, we believe technology should make you feel something. Founded in London in 2020, we've grown from idea to global challenger in just a few years. Backed by GV (Google Ventures), EQT Ventures, and C Ventures, and investors like Tony Fadell (iPod), Casey Neistat, and Kevin Lin (Twitch), we're now sold in 40+ markets with millions of users worldwide.
About the Team
Nothing's data function is being built out from an existing but fragmented estate — ERP, HRIS, Android/app telemetry, and a handful of bespoke trackers that have never been stitched together. You won't start from nothing. You'll refactor what's there, cut what isn't earning its keep, and build the connective tissue that turns scattered systems into a data layer people actually trust. You'll work directly with leaders across product, supply chain, commercial, and finance to find where data moves the needle fastest, and you'll have the room to put your own stamp on how it gets built.
What You'll Do
- Map Nothing's highest-priority data use cases in your first 30-60 days by interviewing cross-functional leaders and diagnosing where data can move the needle fastest.
- Refactor and connect ERP, HRIS, Android/app telemetry, and bespoke trackers into one coherent data layer.
- Own the architecture end-to-end; you write the code, you make the tooling calls, you're accountable for what ships.
- Own the cost efficiency of the data platform: track cloud and tooling spend, forecast COGS, and build with cost-per-user in mind from day one.
- Group technical overlaps across use cases into a pragmatic build sequence; no isolated hacks, no over-engineered warehouses.
- Build the data foundation clean and normalised enough to eventually power an internal company brain and agentic workflows.
- Define what 'good data' looks like at Nothing: standards, quality controls, and documentation that make it usable by others.
What We're Looking For
- Deep hands-on engineering skill: you write code and build pipelines yourself, you don't just direct others.
- A track record in complex environments: hybrid hardware/software companies, scaling fintechs, or similarly messy multi-system organisations.
- Fluency in modern agentic and LLM workflows, with a clear view of what AI needs from a data layer to work reliably.
- Commercial instincts: you frame your work in terms of decisions enabled and cost managed, not rows processed.
- Judgement about when to build robust architecture and when a scrappier pipeline is the right call today.
- Experience connecting disparate systems: ERP, HRIS, mobile telemetry, operational trackers into clean, reliable outputs.
- Comfort operating as a senior individual contributor; but also can thrive as part of a larger team of peers but enjoy staying in the weeds.
How We Work
London roles: Location: London (Kings Cross & Farringdon offices) Working Pattern: Full-time, in-office, five days a week. We can work around personal needs where it makes sense, but being together is how we do our best work. Commute: We ask that you live within a 60-minute commute of your office.
San Francisco roles: Location: San Francisco Working Pattern: Full-time, in-office, five days a week. We can work around personal needs where it makes sense, but being together is how we do our best work.
Head of Data in London employer: Nothing Technology
At Nothing, we are redefining the tech landscape by placing design and human creativity at the forefront of our innovations. Located in the vibrant heart of London, our collaborative work culture fosters creativity and agility, allowing employees to take ownership of their projects and contribute directly to our growth story. With a strong emphasis on personal development and a supportive environment, we offer unique opportunities for meaningful engagement and career advancement in a company that values every voice at the table.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data 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 Nothing Technology!
✨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 Head of Data at Nothing Technology.
✨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 Nothing Technology.
✨Apply Directly through Our Website
When you find a suitable opening like Head of Data at Nothing Technology, 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 Head of Data 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 Nothing Technology, 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 Nothing Technology. 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 Nothing Technology
✨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 Nothing Technology!
✨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.
