At a Glance
- Tasks: Transform data into actionable insights and models for impactful journalism.
- Company: Join the Guardian, a leader in fearless investigative journalism.
- Benefits: 30 days annual leave, generous pension, private healthcare, and wellness support.
- Other info: Hybrid work model with a focus on diversity and personal growth.
- Why this job: Make a real difference in media with cutting-edge data science.
- 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.
- 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.
Benefits at the Guardian- You’ll have 30 days of annual leave per year (plus bank holidays) with the option to purchase an additional 5 days.
- Our pension scheme is generous; if you contribute 5% then we will contribute 8-12% (depending on your age).
- We believe in giving back, which is why employees are given 2 volunteering days annually and the option of payroll giving.
- Season ticket loans are also available.
- You are entitled to private healthcare, life cover, income protection, and eye tests.
- You can also opt in to dental insurance.
- We have enhanced maternity, paternity, adoption and shared parental leave policies in place.
- We also support our employees by offering an IVF, menopause, baby loss, and trans equality policy.
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 developmentWe 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 — End-to-End ML for News Growth in London employer: Guardian-News-
At the Guardian, we pride ourselves on being an excellent employer by fostering a diverse and inclusive work environment that champions fearless journalism and innovative data solutions. Our commitment to employee growth is reflected in our generous benefits package, including 30 days of annual leave, a robust pension scheme, and comprehensive health support, alongside a culture that prioritises wellbeing and professional development. With a hybrid working model based in Kings Cross, we offer a unique opportunity to contribute to impactful projects while enjoying a supportive and collaborative atmosphere.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist — End-to-End ML for News Growth in London
✨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 just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio of your data science projects, especially those involving Python and SQL. When you get the chance to chat with the team, share how you've tackled similar challenges.
✨Tip Number 3
Be ready for the unexpected! The role involves working with ambiguity, so practice explaining your thought process when faced with incomplete data. This will show you're adaptable and ready for the real-world challenges.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of our diverse and inclusive team at the Guardian.
We think you need these skills to ace Data Scientist — End-to-End ML for News Growth in London
Some tips for your application 🫡
Show Your Passion for Data:When you're writing your application, let your enthusiasm for data science shine through! Share specific examples of projects you've worked on that relate to the role, especially those involving Python and SQL. We love seeing how you can turn complex data into actionable insights.
Tailor Your Application:Make sure to customise your application to reflect the job description. Highlight your experience with Google BigQuery and any machine learning projects you've tackled. This shows us that you understand what we're looking for and that you're genuinely interested in joining our team.
Be Clear and Concise:We appreciate clarity! When describing your experiences, keep it straightforward and to the point. Use bullet points if necessary to make your skills and achievements stand out. Remember, we want to see how you can communicate effectively with both technical and non-technical audiences.
Apply Through Our Website:Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our culture and values while you're at it!
How to prepare for a job interview at Guardian-News-
✨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 data science tasks.
✨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. You’ll need to demonstrate that you can communicate effectively with both technical and non-technical audiences, so think of ways to simplify your past experiences.
✨Emphasise Collaboration
Be ready to discuss how you've worked with cross-functional teams in the past. The role involves collaborating closely with engineering and editorial teams, so share examples of successful teamwork and how you’ve embedded models into existing workflows.
