At a Glance
- Tasks: Transform data into actionable insights for impactful journalism and audience engagement.
- Company: Join the Guardian, a diverse and inclusive leader in fearless journalism.
- Benefits: Enjoy 30 days annual leave, private healthcare, and generous pension contributions.
- Other info: Flexible hybrid working, supportive culture, and opportunities for personal growth.
- Why this job: Make a real difference in media with cutting-edge data science techniques.
- 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.
- 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.
- Entitled to private healthcare, life cover, income protection, and eye tests. You can also opt in to dental insurance.
- Enhanced maternity, paternity, adoption and shared parental leave policies in place.
- 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.
Hybrid Data Scientist: End-to-End Analytics for News Growth employer: GUARDIAN NEWS AND MEDIA
At the Guardian, we pride ourselves on being an exceptional employer that champions diversity and inclusivity within a dynamic and supportive work environment. Our commitment to employee growth is reflected in our comprehensive benefits package, including generous annual leave, a robust pension scheme, and tailored wellbeing initiatives, all designed to empower our team members to thrive both personally and professionally. With a hybrid working model based in Kings Cross, we foster a culture of collaboration and innovation, ensuring that every voice is heard and valued as we work together to deliver impactful journalism.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Data Scientist: End-to-End Analytics for News Growth
✨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 end-to-end data science projects in the past. We want to see your problem-solving skills in action!
✨Tip Number 3
Show off your communication skills! Practice explaining complex data concepts in simple terms. Remember, you'll be working with both technical and non-technical teams, so clarity is key.
✨Tip Number 4
Don’t forget to 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 Hybrid Data Scientist: End-to-End Analytics for News Growth
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 align with our needs!
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.
Showcase Your Projects:If you've worked on any end-to-end data science projects, make sure to mention them! We love seeing real examples of your work and how you've tackled ambiguous problems in the past.
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures it gets into the right hands. Plus, we appreciate the effort you put into applying directly!
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 end-to-end analytics. This will show that you can hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled ambiguous questions in your previous roles. Highlight specific projects where you turned complex data into actionable insights, as this aligns perfectly with what the Guardian is looking for.
✨Communicate Clearly
Practice explaining technical concepts in simple terms. The ability to communicate effectively with both technical and non-technical audiences is crucial. Think about how you would explain your work to a journalist or a marketing professional.
✨Emphasise Inclusivity and Collaboration
The Guardian values diversity and collaboration. Be prepared to discuss how you've worked in diverse teams and contributed to an inclusive environment. Share any experiences that demonstrate your commitment to fostering a supportive workplace culture.
