Staff Data Scientist
DeepL
Office
London
Full Time
Meet DeepL
DeepL is a global communications platform powered by Language AI. Since 2017, we’ve been on a mission to break down language barriers. Our human-sounding translations and intelligent writing suggestions are designed with enterprise security in mind. Today, they enable over 100,000 businesses to transform communications, reach new markets, and improve productivity. And, empower millions of individuals worldwide to make sense of the world and express their ideas.
Our goal is to become the global leader in Language AI, building products that drive better communication, foster connections, and make a real-life impact. To achieve this, we need talented individuals like you to join our exciting journey. If you're ready to work with a dynamic team and build your career in the fast-moving AI space, DeepL is your next destination.
What sets us apart
What sets us apart is our blend of modern technology, competitive benefits, and an open, welcoming work culture that enables our people to thrive. When we share what it's like to work at DeepL, the reactions are overwhelmingly positive. This may be because of our products that have helped countless people worldwide or our shared mission to improve communication for individuals and businesses, bringing cultures closer together. What we know for sure is this: being part of DeepL means joining a team dedicated to innovation and employee well-being. Discover what our teams have to say about life at DeepL on LinkedIn, Instagram and our Blog.
Meet the team behind this journey
DeepL has millions of passionate users around the globe, both consumer and enterprise. These users generate a vast amount of data that DeepL teams utilise to constantly improve the customer experience, the product and internal collaboration and process.
Our Data teams, both the central Data Track and embedded Data Community teams, are agents of learning and change - extracting, enriching and utilising data to make better decisions.
The Product Insights specifically is focused on product usage data and helping to drive impactful product decisions at pace and at scale. This includes product analytics, insights and experimentation. Their quest is great product decisions that will improve product and business success, lead to more sales and more satisfied customers.
We are hiring a Staff Data Scientist to drive our product analytics and experimentation efforts. This is a high-impact role with a flexible mix of stakeholder and team management, and advanced hands-on data science work.
In this role you will get to collaborate closely with technical and non-technical teams across the business to help drive data and insights decisions and build a customer-centric, learning organisation.
You will also lead the adoption of new self-service tools and infrastructure, including a new cloud data warehouse and experimentation platform.
Your responsibilities
Product Analytics Leadership
Help build and scale a high-leverage analytics function focused on impact, efficiency, and continuous improvement
Own prioritization and execution across both tactical requests and strategic initiatives
Product Partnership & Enablement
Advocate for an evidence-based product and experimentation culture by aligning diverse stakeholder perspectives, addressing conflicting priorities, and building trust in experimental results.
Translate complex findings into clear, actionable insights for diverse stakeholders
Develop self-service tools and dashboards that empower non-technical users to explore and act on data
Experimentation Strategy
Drive experimentation across the company by actively working with teams to design, set up, debug, and interpret experiments as part of the day-to-day work.
Design, implement, and continuously evolve experimentation practices, including tooling and statistical frameworks
Support product teams in running rigorous, scalable experiments to validate ideas and measure impact
Data Platform & Tooling Adoption
Drive adoption of the cloud data warehouse, experimentation platform, and other core data products across Product and Engineering
Partner with Analytics and Data Engineers to ensure data assets are reliable, discoverable, and user-friendly
Qualities we look for
8–10+ years of experience in data science, product analytics, or similar roles, including leadership or mentorship
Expert in SQL and data transformation tools (e.g., dbt); able to build and maintain robust data pipelines
Strong Python skills for analysis and prototyping, preferably in notebook-based workflows
Deep understanding of experimentation methods, design, and statistical analysis
Comfortable with modern cloud data platforms (e.g., DataBricks, Snowflake, BigQuery)
Hands-on experience with third-party experimentation or product analytics platforms at scale
Experience blending quantitative and qualitative data to drive customer and product insights
Excellent communication skills with the ability to tell compelling stories with data
Self-starter with a bias toward action and an ability to thrive in fast-paced, ambiguous environments
Proven ability to prioritize, manage multiple workstreams, and act as a product owner for data initiatives
What we offer
Diverse and internationally distributed team: joining our team means becoming part of a large, global community with people of more than 90 nationalities. We're more than just colleagues; we're a group of professionals with a shared mission to connect diverse cultures. Our global presence is growing–we've doubled in size nearly every year, with our employees based in the UK, Germany, the Netherlands, Poland, the US, and Japan, and we continue to expand our network.
Open communication, regular feedback: as a language-focused company, we value the importance of clear, honest communication. We value smooth collaboration, direct and actionable feedback, and believe that leading with empathy and growth mindset makes us better together.
Hybrid work, flexible hours: we offer a hybrid work schedule, with team members coming into the office twice a week. This allows you to engage directly with your team and experience the unique energy of our workspace, while still enjoying the flexibility and comfort of working from home. With flexible working hours and trust in your productivity, we are in sync with your team’s general locations and time zones to foster effective and seamless collaboration.
Regular in-person team events: we bond over vibrant events that are as unique as our team, from local team and business unit gatherings, to new-joiner onboardings, to company-wide events that bring us all together–literally.
Monthly full-day hacking sessions: every month, we have Hack Fridays, where you can spend your time diving into a project you're passionate about and get the opportunity to work with other teams–we value your initiatives, impact, and creativity.
30 days of annual leave: we value your peace of mind. With 30 days off (excluding public holidays) and access to mental health resources, we make sure you're as strong mentally as you are professionally.
Competitive benefits: just as our team spans the globe, so does our benefits package. We've crafted it to reflect the diversity of our team and tailored it to align with your unique location, to ensure you feel supported every step of the way.
If this role and our mission resonate with you, but you're hesitant because you don't check all the boxes, don't let that hold you back. At DeepL, it's all about the value you bring and the growth we can foster together. Go ahead, apply—let's discover your potential together. We can't wait to meet you!
We are an equal opportunity employer
You are welcome at DeepL for who you are—we appreciate authenticity here. Our product is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all succeed, contribute, and think forward! So bring us your personal experience, your perspectives, and your background. It’s in our diversity that we will find the power to break down language barriers in the world.
Staff Data Scientist
Office
London
Full Time
August 19, 2025