At a Glance
- Tasks: Transform data into actionable insights and support impactful journalism.
- Company: Join the Guardian, a diverse and inclusive global organisation.
- Benefits: 30 days annual leave, generous pension, private healthcare, and more.
- Other info: Hybrid work model with excellent career development opportunities.
- Why this job: Make a real difference in journalism with your data skills.
- Qualifications: Strong Python and SQL skills; experience with BigQuery is a plus.
The predicted salary is between 55000 - 65000 £ 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 operate in a hybrid environment working 3 days a week from our offices in Kings Cross and 2 days a week remotely. All roles at the Guardian are open for everybody to apply.
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.
- 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 in place.
- Support for employees through IVF, menopause, baby loss, and trans equality policy.
Data Scientist. Job in London LilyLifestyle Jobs employer: GUARDIAN NEWS AND MEDIA
At the Guardian, we pride ourselves on being an exceptional employer, offering a vibrant and inclusive work culture that champions diversity and fosters professional growth. As a Data Scientist in our London office, you'll enjoy a generous benefits package, including 30 days of annual leave, a robust pension scheme, and comprehensive healthcare options, all while working in a hybrid environment that promotes work-life balance. Join us to make a meaningful impact through your work in data science, collaborating with talented professionals dedicated to delivering fearless journalism.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist. Job in London LilyLifestyle Jobs
✨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 might even lead to a referral, which can seriously boost your chances.
✨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've tackled ambiguous problems. We want to see your thought process and how you can apply it to real-world scenarios.
✨Tip Number 3
Show off your passion for data! Bring examples of how you've used data to drive decisions or improve processes in previous roles. This will demonstrate your ability to make an impact at the Guardian.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage with us directly.
We think you need these skills to ace Data Scientist. Job in London LilyLifestyle Jobs
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! Share your passion for data science and how you can contribute to our mission at the Guardian. Be sure to mention any relevant projects or experiences that showcase your abilities.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled ambiguous problems in the past. We love candidates who can turn complex questions into actionable insights, so don’t hold back on sharing your success stories!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us quickly and efficiently. Plus, it shows you’re serious about joining our team!
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 model deployment.
✨Showcase Your Problem-Solving Skills
Prepare examples of end-to-end data science projects you've worked on. Highlight how you tackled ambiguous questions and turned them into actionable insights, as this is crucial for the role.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. The ability to communicate effectively with both technical and non-technical audiences will be key, so think of ways to demonstrate this during your interview.
✨Embrace the Hybrid Work Model
Understand the dynamics of a hybrid work environment. Be prepared to discuss how you can contribute to team collaboration both in-person and remotely, showcasing your adaptability and teamwork skills.
