Head of Data in London

Head of Data in London

London Full-Time 80000 - 100000 £ / year (est.) Home office (partial)
Nothing

At a Glance

  • Tasks: Lead the creation of a data function from scratch, solving critical data problems.
  • Company: Exciting tech company focused on design and human creativity.
  • Benefits: Competitive salary, dynamic work environment, and opportunities for personal growth.
  • Other info: Work in a collaborative office environment in London or San Francisco.
  • Why this job: Be the architect of data solutions that drive real decisions and AI innovations.
  • Qualifications: Strong coding skills, experience in complex environments, and commercial instincts.

The predicted salary is between 80000 - 100000 £ per year.

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 from scratch, and this is the role that starts it. You'll work directly with our leadership team across product, supply chain, commercial, and finance to map the company's most critical data problems and build the infrastructure that solves them. The goal isn't a perfect data warehouse. It's clean, normalised data that powers real decisions today and our AI ambitions tomorrow. You'll be the architect, the engineer, and the strategist, and you'll have the autonomy to do it your way.

What You'll Do

  • Map Nothing's highest-priority data use cases in your first 30–60 days, interviewing cross-functional leaders to surface where data can most directly move the needle.
  • Design and build targeted pipelines that solve multiple business problems simultaneously connecting ERP, HRIS, Android/app telemetry, and bespoke trackers into a coherent data layer.
  • Own the architecture end-to-end: you'll write the code, make the tooling calls, and be accountable for what gets built.
  • Identify technical overlaps across use cases and group them into a pragmatic build sequence; no isolated hacks, no over-engineered warehouses.
  • Ensure the data foundation is clean and normalised enough to eventually power an internal company brain and agentic workflows.
  • Evaluate and select modern, lightweight tooling that accelerates our timeline rather than locking us into legacy platforms.
  • Define what 'good data' looks like at Nothing - standards, quality controls, and the documentation that makes it usable by others.

What We're Looking For

  • Deep hands-on engineering skill: you write code, you build pipes, you don't just direct others to do it.
  • 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, and a clear understanding of what AI needs from a data layer to function reliably.
  • Commercial instincts: you frame your work in terms of decisions enabled and revenue generated, not rows processed.
  • Strong judgement about when to build robust, scalable architecture and when a scrappier pipeline is the right answer today.
  • Experience connecting disparate systems - ERP, HRIS, mobile telemetry, operational trackers into clean, reliable outputs.
  • Comfort operating as an individual contributor at senior level: you thrive without a team beneath you, and you enjoy getting into the weeds.

How We Work

  • Location: London (Kings Cross & Farringdon offices) or San Francisco (Jackson Square).
  • 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.

Head of Data in London employer: Nothing

At Nothing, we pride ourselves on fostering a dynamic and innovative work culture that empowers our employees to thrive. As a US Ecommerce Trading Lead, you will benefit from our commitment to professional growth, with ample opportunities for skill development and collaboration in a vibrant environment located in either London or San Francisco. Join us to be part of a forward-thinking team that values creativity and drives meaningful impact in the consumer tech space.

Nothing

Contact Details:

Nothing Recruitment Team

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!

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.

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.

Apply Directly through Our Website

When you find a suitable opening like Head of Data at Nothing, 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

Data Engineering
Data Architecture
Code Writing
Pipeline Design
ERP Integration
HRIS Integration
Mobile Telemetry

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, 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. 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

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!

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.