At a Glance
- Tasks: Transform data into insights and drive impactful projects across various teams.
- Company: Join the Guardian, a diverse and inclusive global organisation committed to fearless journalism.
- Benefits: 30 days annual leave, generous pension scheme, private healthcare, and volunteering days.
- Other info: Hybrid work model with excellent career development opportunities.
- Why this job: Make a real difference with your data skills in a dynamic and supportive environment.
- Qualifications: Strong Python and SQL skills, experience with BigQuery, and a knack for statistics.
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 hybrid working model, generous benefits including 30 days of annual leave, and a commitment to employee wellbeing through comprehensive healthcare and family support policies. Join us to make a meaningful impact in journalism while developing your skills in a supportive environment that values innovation and collaboration.
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 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. We know they’re looking for strong technical abilities, so be ready to showcase your knowledge with practical examples or even a mini project.
✨Tip Number 3
Showcase your problem-solving skills! Think of past projects where you turned ambiguous questions into actionable insights. We want to see how you approach challenges and deliver results.
✨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 serious about joining our diverse and inclusive team at the Guardian.
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 Google BigQuery. We want to see how your skills align with what we do!
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 team. Be sure to mention any relevant projects or experiences that showcase your skills.
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 for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team at the Guardian!
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 problems, developed solutions, and delivered impactful results.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. The ability to communicate effectively with both technical and non-technical audiences is crucial, so think of ways to demonstrate this during your interview.
✨Embrace the Culture
Research the Guardian's commitment to diversity and inclusion. Be prepared to discuss how your background and experiences align with their values, and how you can contribute to fostering an inclusive culture within the team.
