At a Glance
- Tasks: Transform data into insights and drive impactful projects across various teams.
- Company: Join the Guardian, a diverse and inclusive global media organisation.
- Benefits: 30 days annual leave, generous pension, private healthcare, and wellness support.
- Other info: Flexible working options and a commitment to diversity and inclusion.
- Why this job: Make a real difference in journalism with your data skills and creativity.
- Qualifications: Strong Python and SQL skills, experience with BigQuery is a plus.
The predicted salary is between 50000 - 70000 € per year.
Join our team at the Guardian and be a part of a diverse and inclusive global organisation that delivers fearless, investigative journalism, and holds power to account. Our team of award-winning journalists, cutting-edge commercial professionals, and industry-leading digital experts are committed to making a difference and represent a wide range of backgrounds and perspectives. We offer a challenging and exciting environment for career development, with a focus on training, growth and fostering an inclusive culture.
We are now looking for a Data Scientist to join our Data Science team! You'll take on end-to-end problems and turn ambiguous questions into analysis, models, and recommendations that teams can act on. We keep things practical and focus on what works. Our data primarily lives in Google BigQuery, and we also work with off-platform data sources such as social media. We use a mix of Amazon Web Services and Google Cloud Platform for infrastructure, and Apache Airflow powers our pipelines and orchestration. We mostly use Python and SQL, though we pick up other languages and other tools as the work demands.
About the role
- Own data science projects from problem definition to delivery, independently delivering impactful projects across the editorial, marketing, advertising, product and engineering departments.
- Understand what makes stories reach and engage audiences, support content discovery and tagging systems, analyse how editorial decisions influence performance and help journalists find leads and insights in large datasets.
- Model reader conversion, churn, and engagement with products, segmenting audiences to support growth and supporting marketing campaign and product optimisation.
- Optimise advertising campaigns, enrich content metadata for advertising purposes and help teams make better decisions with imperfect data.
- Deploy data solutions in close collaboration with the engineering team, embedding models into existing tools and workflows.
- Work on improvements at every step of the Machine Learning lifecycle.
About you
- Strong experience in Python and SQL, experience working with data in BigQuery would also be beneficial.
- Excellent command of statistics and machine learning (NLP experience a bonus).
- Proven track record delivering end-to-end analysis or modelling projects.
- Ability to communicate clearly with both technical and non-technical audiences.
- Comfortable working with ambiguity and incomplete information.
We actively encourage applications from groups traditionally underrepresented in the UK media. We operate in a hybrid environment working 3 days a week from our offices in Kings Cross and 2 days a week remotely. We value and respect all differences (seen and unseen) in all people. We aspire to have inclusive working experiences and an environment that reflects the audience we serve, where our people have equal access to career development opportunities, their voices are heard and can contribute to our future. We actively encourage applications from people of all backgrounds. Many of our staff work flexibly and we will consider all requests for flexible working arrangements.
How to apply
To apply, please upload your latest CV and a cover letter which outlines why you’d love to take on this role, and why you’re a great match for what we’re looking for. We appreciate the time taken to prepare each application we receive. We do not use AI-assisted technology to review applications; every application is reviewed by a member of our recruitment team. The closing date for applications is Friday 29th May 2026. All roles at the Guardian are open for everybody to apply. It is important to us that you feel supported and comfortable throughout your recruitment process, in order to perform your best. Please let us know if there are any changes we could make to help your application, this includes providing documents in accessible formats or personalising the process to better support your needs. Please contact Anna Vipers on to discuss further so we can work with you to support you through your application.
Benefits at the Guardian
- 30 days of annual leave per year (plus bank holidays) with the option to purchase an additional 5 days.
- A generous pension scheme; if you contribute 5% then we will contribute 8-12% (depending on your age).
- Employees are given 2 volunteering days annually and the option of payroll giving.
- Season ticket loans are also available.
- Entitlement to private healthcare, life cover, income protection, and eye tests.
- Option to opt in to dental insurance.
- Enhanced maternity, paternity, adoption and shared parental leave policies.
- Support for IVF, menopause, baby loss, and trans equality policy.
Culture and wellbeing
We want everyone to feel like they belong at the Guardian and we champion diversity of thought. Our various employee forums provide a platform to use their voice to foster an inclusive workplace. We became the first major media organisation to achieve B Corp status. We offer tools to help you prioritise your wellbeing including access to our employee benefits platform which provides tailored support for health and wellbeing. In addition, we also offer free yoga and pilates classes. These run alongside our corporate gym membership and cycle to work scheme. Our canteen has views overlooking the Regents Canal and caters for breakfast, lunch and dinner.
Learning and development
We encourage personal and professional growth. Employees have access to a broad range of tools and solutions, and we are happy to support the pursuit of professional qualifications through vocational courses and apprenticeships.
Data Scientist employer: GUARDIAN NEWS AND MEDIA
At the Guardian, we pride ourselves on being an excellent employer that champions diversity and inclusivity within a dynamic work environment. Our commitment to employee growth is reflected in our robust training programmes, generous benefits including 30 days of annual leave, and a supportive culture that values every voice. Located in Kings Cross, our hybrid working model allows for flexibility while fostering collaboration among our talented teams dedicated to impactful journalism.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current or former employees at the Guardian 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 brushing up on your Python and SQL skills. Be ready to discuss how you've tackled data science projects in the past, especially those that involved ambiguity. Show us how you turn complex problems into actionable insights!
✨Tip Number 3
Don’t just focus on technical skills; practice explaining your work to non-technical folks too. Being able to communicate your findings clearly is key, especially in a diverse team like ours where collaboration is essential.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team at the Guardian.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience with Python, SQL, and any work you've done with BigQuery. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're excited about this role and how your background makes you a great fit. Be genuine and let your personality come through – we love that!
Showcase Your Projects:If you've worked on any data science projects, make sure to mention them! Whether it's end-to-end analysis or machine learning models, we want to know how you've tackled real-world problems and what impact you've made.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, it helps us keep track of everything smoothly. We can't wait to hear from you!
How to prepare for a job interview at GUARDIAN NEWS AND MEDIA
✨Know Your Data Tools
Familiarise yourself with Google BigQuery, Python, and SQL before the interview. Be ready to discuss how you've used these tools in past projects, especially in relation to data analysis and modelling.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled ambiguous problems in your previous roles. Highlight your end-to-end project experiences, focusing on how you defined the problem, conducted analysis, and delivered actionable insights.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. You’ll need to communicate effectively with both technical and non-technical audiences, so think of ways to make your explanations relatable.
✨Emphasise Collaboration
Since the role involves working closely with engineering teams, be prepared to discuss your experience in collaborative environments. Share examples of how you've successfully integrated data solutions into existing workflows.
