At a Glance
- Tasks: Transform complex data into actionable insights and support impactful journalism.
- Company: Join the Guardian, a diverse and inclusive global media organisation.
- Benefits: 30 days annual leave, generous pension, private healthcare, and flexible working options.
- Other info: Hybrid work model with opportunities for personal and professional growth.
- Why this job: Make a real difference in journalism while developing your data science skills.
- 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. We are a network of award‑winning journalists, commercial professionals, and digital experts committed to making a difference and representing a wide range of backgrounds.
You will take on end‑to‑end problems and turn ambiguous questions into analysis, models, and recommendations that teams can act on. The data primarily lives in Google BigQuery, with additional off‑platform sources such as social media. Our infrastructure uses a mix of AWS and GCP, and Apache Airflow powers our pipelines. We mostly use Python and SQL, with other languages and tools as needed.
About the roleOwn data science projects from problem definition to delivery, independently delivering impactful work across editorial, marketing, advertising, product and engineering. 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; segment audiences to support growth; support marketing campaign and product optimisation. Optimise advertising campaigns, enrich content metadata for advertising, and help teams make better decisions with imperfect data. Deploy data solutions in close collaboration with engineering, embedding models into existing tools and workflows. Work on improvements at every step of the machine learning lifecycle.
About youStrong experience in Python and SQL; experience with BigQuery is 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.
Working conditionsWe operate in a hybrid environment: 3 days a week from our offices in Kings Cross and 2 days a week remotely. We value and respect all differences in all people, and aspire to have inclusive working experiences that reflect the audience we serve. Many staff work flexibly, and we will consider all requests for flexible working arrangements.
Benefits- 30 days of annual leave per year (plus bank holidays) with the option to purchase an additional 5 days.
- Generous pension scheme – contribute 5 % and we contribute 8‑12 % (depending on age).
- 2 volunteering days annually and the option of payroll giving.
- Season ticket loans are also available.
- Private healthcare, life cover, income protection, and eye tests – dental insurance opt‑in.
- Enhanced maternity, paternity, adoption and shared parental leave policies, plus IVF, menopause, baby loss and trans equality policy support.
We champion diversity of thought and provide employee forums for voice and inclusion. Our first major media organisation to achieve B Corp status, we offer wellbeing tools, free yoga and pilates classes, a corporate gym membership and cycle‑to‑work scheme. Our canteen provides breakfast, lunch and dinner with views of Regents Canal.
Learning and developmentWe encourage personal and professional growth. Employees have access to a broad range of tools and solutions, and support is provided for pursuing professional qualifications through vocational courses and apprenticeships.
Data Scientist employer: The Training Brokers Ltd
At the Guardian, we pride ourselves on being an excellent employer that champions diversity and inclusion within a dynamic and supportive work environment. As a Data Scientist, you will have the opportunity to engage in meaningful projects that directly impact our editorial and marketing efforts, all while enjoying generous benefits such as 30 days of annual leave, a robust pension scheme, and access to professional development resources. Our hybrid working model allows for flexibility, and our commitment to employee wellbeing is reflected in our B Corp status and various wellness initiatives.
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. Ask them about their experiences and any tips they might have for landing a role as a Data Scientist. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your Python and SQL skills. Be ready to discuss your past projects and how you tackled ambiguous problems. We want to see your thought process, so practice explaining your work clearly to both technical and non-technical folks.
✨Tip Number 3
Showcase your passion for journalism and data! Research the Guardian's recent articles and think about how data science could enhance their storytelling. Bring these ideas to the interview to demonstrate your enthusiasm and understanding of the role.
✨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 our team. Good luck, and we can't wait to see what you bring to the table!
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! Use it to explain why you're passionate about data science and how you can contribute to our mission at the Guardian. Keep it engaging and relevant to the role.
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, especially if they involved ambiguous questions or complex datasets.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at The Training Brokers Ltd
✨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 questions in your previous roles. Highlight your end-to-end project experiences, focusing on how you defined problems and delivered actionable insights.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. You’ll need to demonstrate your ability to communicate effectively with both technical and non-technical audiences, so think of ways to make your past experiences relatable.
✨Embrace the Ambiguity
Be ready to discuss how you handle incomplete information and uncertainty. Share specific instances where you successfully navigated ambiguity in your work, as this is crucial for the role at the Guardian.
