At a Glance
- Tasks: Lead data science and analytics to shape AI-driven software development.
- Company: Join JetBrains, a leader in intelligent software tools for developers.
- Benefits: Competitive salary, flexible work, extra time off, and mental health support.
- Other info: Inclusive workplace with opportunities for learning and growth.
- Why this job: Transform product decisions with data and drive innovation in AI.
- Qualifications: Experience in leading data teams and a passion for AI in software.
The predicted salary is between 75600 - 92400 £ per year.
You’ve built data teams from the ground up and know how to turn raw information into better product decisions.
You care deeply about how AI is changing software development, and you want to shape the data foundations that make it happen.
About Jet Brains
We create intelligent software development tools for developers and teams.
More than 15 million users, over 300,000 organizations, and 88 of the Fortune Global Top 100 companies rely on our products to solve real, complex problems.
Our mission is simple: make development teams more productive and AI adoptable at scale.
What you’ll do
Jet Brains Air is an AI-native software development platform that connects developer workflows, collaboration, and control into a single system.
Because this is a major strategic focus for us, we need a strong data function to help guide it.
As Head of Data Science and Analytics for Jet Brains Air, you’ll lead our data science, analytics, and data engineering capabilities for both the product and go-to-market domains.
By building a high-performing team, you’ll help us use data to navigate product direction, optimize product and go-to-market decisions, and accelerate growth.
You’ll own the data strategy for Jet Brains AI, partnering closely with product, engineering, and leadership teams to ensure our data infrastructure scales smoothly alongside our ambitions.
Day to day, you will
- Build and lead a cohesive team of data scientists, analysts, and data engineers.
- Help teams adopt a rigorous experimentation culture, improving how we test and measure product changes.
- Uncover insights across the customer journey to improve acquisition, retention, and monetization.
- Establish scalable analytics foundations, including clear metric frameworks, data models, and self-service reporting.
- Partner with engineering teams to design robust, compliant data infrastructure and pipelines.
- Guide the development of machine learning capabilities that enhance marketing acquisition, product personalization, and operational efficiency.
- Translate complex data signals into clear, actionable recommendations for leadership.
- Define the business unit's data strategy to support product and engineering priorities.
- What you’ll bring
- A strategic mindset paired with a willingness to dive hands-on into the details when necessary.
- A strong belief in building experimentation cultures and helping others make data-informed decisions.
- The ability to navigate ambiguity and build new capabilities in a fast-moving space.
- Clear, candid communication skills to align both technical and non-technical stakeholders.
- A deep appreciation for developer products and a distinct point of view on how AI will shape the future of software creation.
- A commitment to maintaining high standards for privacy, security, and responsible data use.
- What you’ll need
- Proven experience leading and scaling a data function within a product-led, B2B Saa S, AI, or developer tools environment.
- A deep understanding of modern data science and analytics practices, including cohort analysis, A/B testing, segmentation, and machine learning applications to product and marketing problems.
- A solid grasp of data engineering fundamentals, such as data modeling, and orchestration.
- A track record of hiring, mentoring, and developing multidisciplinary data teams.
- Willingness to learn fast and find practical solutions to hard problems.
- What success looks like
You will have transformed Jet Brains Air into a truly data-informed, experimentation-driven product offering.
By establishing strong data foundations, you’ll empower teams to deeply understand our customers, accurately measure product impact, and confidently make strategic decisions.
Rather than just reporting on what has already happened, your work will actively shape what we build next.
Why join Jet Brains?
- Strong base salary. We offer competitive pay that reflects your skills and experience.
- Flexible work location. Enjoy the freedom to work from home or from the office.
- Remote work. Spend up to 30 days per year working remotely from abroad.
- Extra time off. More days to relax, recharge, and do the things you love.
- Medical insurance allowance. Enjoy peace of mind for you and your family
- Learning and development opportunities. Access to conferences, courses, and language classes.
Relocation support. We help make your move as smooth and stress-free as possible.
- Language classes. Pick up the local language or sharpen your English skills.
- Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
- Mental health support. To help you feel your best, we provide easy access to professional mental health services.
- Sports benefit. Enjoy an on-site gym or sports club stipend.
- Internal events. Join company-wide celebrations and team gatherings.
*Some benefits may vary depending on location.
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- We are an equal opportunity employer
We know great ideas can come from anyone, anywhere.
That’s why we do our best to create an open and inclusive workplace – one that welcomes everyone regardless of their background, identity, religion, age, accessibility needs, or orientation.
We process the data provided in your job application in accordance with the
Recruitment Privacy Policy.
Head of Data Science and Analytics (JetBrains Air) in London employer: JetBrains
JetBrains is an excellent employer for those looking to make a significant impact in the software development landscape. With a strong focus on innovation and a collaborative work culture, employees are encouraged to grow their skills while working on cutting-edge AI-first tools. The flexibility of remote work combined with opportunities for professional development makes JetBrains a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Science and Analytics (JetBrains Air) in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Head of Data Science and Analytics (JetBrains Air) 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 JetBrains, 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 JetBrains. 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 JetBrains
✨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 JetBrains!
✨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.
