At a Glance
- Tasks: Collaborate with teams to analyse data, build models, and drive impactful decisions.
- Company: Join Figma, a leading platform making design accessible for everyone.
- Benefits: Flexible remote work, competitive salary, and opportunities for professional growth.
- Why this job: Shape the future of design and collaboration while working on high-impact data projects.
- Qualifications: 5+ years in Data Science, strong SQL skills, and experience with data systems.
- Other info: Diverse and inclusive workplace that values growth and learning.
The predicted salary is between 28800 - 48000 ÂŁ per year.
Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you’re brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you’re excited to shape the future of design and collaboration, join us!
We are looking for an experienced Data Scientist to join our growing data team. At Figma, Data Scientists are deeply embedded within cross‑functional teams across the company—from Product to Finance, Marketing, and Platform. This is ideal for someone excited to own high‑impact data projects, partner strategically with collaborators, and build the future of our products and business.
The ideal candidate will bring strong analytical and technical skills, business intuition, and a collaborative approach to guide decision‑making and unlock growth opportunities. You’ll work on problems ranging from understanding user behavior to optimizing revenue strategies, improving internal tooling, and influencing product direction through experimentation and data modeling.
This is a full‑time role that can be held from one of our London Hub or UK remotely.
What You’ll Do at Figma:
- Partner with teams across departments to set and assess metrics, conduct experiments, and reveal insights that shape strategic decisions
- Build models and analytical frameworks to support product, marketing, platform, or finance initiatives
- Develop tools, datasets, and systems that enable others to work with data more efficiently and rigorously
- Own complex data projects end‑to‑end—from problem scoping to solution delivery
- Champion data quality, accessibility, and the democratization of data across the organization
- Partner with Product, Engineering, Design, Research, Sales, Marketing, or Finance to drive impact
We’d Love to Hear from You if You Have:
- 5+ years of experience in Analytics, Data Science, or a related field
- Fluency in SQL and proficiency in a scripting language like Python or R
- Experience with distributed data systems (e.g., Redshift, Snowflake, Presto, Hive, Spark)
- Strong foundation in statistical methods, experimentation, and/or forecasting
- A track record of working cross‑functionally and communicating effectively with both technical and non‑technical partners
- Experience supporting one or more of the following: Product, Marketing, Finance, or internal Platform/Tooling teams
While it’s not required, it’s an added plus if you also have:
- A self‑starter attitude and the ability to thrive in ambiguous and fast‑paced environments
At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.
At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status or any other characteristic protected by law.
We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com.
To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.
By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice.
Data Scientist - Developer Tools (London, United Kingdom) employer: Figma
Contact Detail:
Figma Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Developer Tools (London, United Kingdom)
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Figma on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by diving deep into Figma’s products and culture. Show us that you’re not just another candidate; demonstrate your passion for design and collaboration. Bring your ideas on how data can enhance their platform!
✨Tip Number 3
Practice your storytelling skills! When discussing your past projects, focus on the impact you made and how you collaborated with others. We love hearing about your journey and how you’ve tackled challenges.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in joining the Figma team.
We think you need these skills to ace Data Scientist - Developer Tools (London, United Kingdom)
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight the skills and experiences that align with the Data Scientist role. We want to see how your background fits into our mission at Figma!
Showcase Your Projects: Include examples of past data projects you've worked on, especially those that demonstrate your analytical and technical skills. We love seeing how you've tackled real-world problems and made an impact!
Be Authentic: Let your personality shine through in your application. We value curiosity and a self-starter attitude, so don’t hesitate to share what excites you about this role and how you can contribute to our team.
Apply Through Our Website: For the best chance of success, make sure to apply directly through our website. This helps us keep track of your application and ensures you’re considered for the role you’re excited about!
How to prepare for a job interview at Figma
✨Know Your Data Tools
Make sure you’re well-versed in SQL and familiar with scripting languages like Python or R. Brush up on your experience with distributed data systems such as Redshift or Snowflake, as these will likely come up during the interview.
✨Showcase Your Collaboration Skills
Figma values cross-functional teamwork, so be ready to discuss how you've partnered with different departments in the past. Prepare examples that highlight your ability to communicate effectively with both technical and non-technical teams.
✨Prepare for Problem-Solving Questions
Expect to tackle some real-world problems during your interview. Think about complex data projects you've owned from start to finish and be prepared to explain your thought process, methodologies, and the impact of your solutions.
✨Embrace the Growth Mindset
Figma encourages a 'Grow as you go' philosophy. Be open about your learning journey and any areas where you’re looking to develop further. This shows your enthusiasm for growth and adaptability in a fast-paced environment.