Senior Data Scientist - Stealth AI London

Senior Data Scientist - Stealth AI London

Full-Time 60000 - 80000 £ / year (est.) On-site
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At a Glance

  • Tasks: Drive data insights and build frameworks for innovative AI products.
  • Company: Join Goodnotes, a visionary tech company transforming digital note-taking.
  • Benefits: Competitive salary, dynamic work environment, and opportunities for growth.
  • Other info: Collaborate closely with the founder and a passionate team in London.
  • Why this job: Be part of a startup vibe within a leading company, shaping the future of AI.
  • Qualifications: Strong analytical skills and experience in data-driven decision making.

The predicted salary is between 60000 - 80000 £ per year.

At Goodnotes, we believe that every individual holds untapped potential waiting to be unleashed.

By reimagining the way we interact with information, we’re merging human creativity with the breakthrough capabilities of AI.

Our renewed vision and mission drive us to create the best medium for human and AI collaboration, empowering users to explore new dimensions of productivity, creativity, and learning.

Join us on this journey as we transform digital note-taking into an inspiring and innovative experience.

Our Values Dream big Be visionary, strategic, and open to innovation Build great things Work in service of our users, always improving and pushing higher Operate like an owner Take responsibility with bold decision-making and bias for action Win like a sports team Be trusting and collaborative while empowering others Learn and grow fast Never stop learning and iterate fast Share our passion Share ideas and practice enthusiasm and joy Be user obsessed About the role Think of this as a startup within Goodnotes.

You'd be embedded in one of our 0-1 product bets -working directly with Steven, our founder, and a small, fast-moving team building something genuinely new inside Goodnotes' AI-native product line.

No legacy roadmap, no established playbook.

You're helping write the first one.

You'll be the analytical partner for that product: quantifying how features move the business, building the experimentation and instrumentation that lets the team measure impact from day one, and turning ambiguous, undefined problem spaces into clear questions and confident decisions.

In a 0-1 environment, that clarity is the difference between shipping the right thing and guessing.

You'll combine analytical precision with product intuition - designing experiments, uncovering the behavioural drivers behind conversion, activation, and retention, and connecting product metric movements straight back to revenue.

Crucially, you won't just do the analysis.

You'll build the frameworks, playbooks, and self-serve capability that let the product team answer their own questions — the kind that hold up when you're not in the room.

Removing analytics as a bottleneck isn't a side goal here.

It's part of the job.

This role is based full-time onsite at our London (Paddington) office This role is a fixed term contract of 1 year This is the role for you if you're excited to work on: Defining success metrics

Senior Data Scientist - Stealth AI London employer: GoodNotes Limited

Goodnotes is an exceptional employer, offering a dynamic work environment in the heart of London where innovation thrives. As a Senior Data Scientist, you'll collaborate closely with the founder and a dedicated team, gaining invaluable experience while contributing to cutting-edge AI-driven products. The company fosters a culture of growth and creativity, providing ample opportunities for professional development and the chance to make a significant impact from day one.

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Contact Details:

GoodNotes Limited Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Scientist - Stealth AI 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 GoodNotes Limited!

✨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 Senior Data Scientist - Stealth AI London at GoodNotes Limited.

✨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 GoodNotes Limited.

✨Apply Directly through Our Website

When you find a suitable opening like Senior Data Scientist - Stealth AI London at GoodNotes Limited, 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 Senior Data Scientist - Stealth AI London

Data Analysis
Experiment Design
Quantitative Analysis
Product Metrics
Business Impact Measurement
Analytical Precision
Problem Definition

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 GoodNotes Limited, 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 GoodNotes Limited. 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 GoodNotes Limited

✨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 GoodNotes Limited!

✨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.