Here at The Guardian, we believe the open exchange of information, ideas and opinions has the power to change the world for the better.
More people than ever before are reading, watching and listening to Guardian journalism from across the world. Over the past year The Guardian achieved record digital traffic with our highest number of regular readers and monthly page views averaging over 1.1 billion.
We’re now on a path to achieve the goal we announced last month of two million people supporting The Guardian by 2022. We hit our highest revenues in a decade and in 2019 achieved the goal we set three years earlier to break even.
That's where you come in. We are recruiting a Data Scientist to play the part of being a key team member to help The Guardian discover the information hidden in our data and help us make smarter decisions to deliver on our purpose.
Your primary focus will be in applying machine learning and data mining techniques, doing statistical analysis, and building high quality solutions integrated with our systems.
About the role
Work proactively with the GNM business to identify business problems and questions including:
- Acquire, retain and drive value exchange
- Predict and classify reader behaviour
- Anticipate and forecast performance changes due to internal and external changes
- Work with the product management team to prioritise business problems and define solutions
- Identify appropriate data sources to answer the question. Combine, wrangle and clean them, conducting deep-dive exploratory analysis where required
- Identify the optimal analytical or machine learning technique to answer the question. This might include techniques such as regression, decision trees, factor analysis and clustering.
- Present the results of analysis in easily digestible formats, using appropriate visualisation, for both technical and non-technical audiences
- Help to foster a culture of data-driven decision-making throughout GNM
- Be identified as a product analytics/data science expert across the business
- 3 - 4 years of relevant demonstrable experience in a similar position
- Advanced degree in statistics, math, physics, computer science, or machine-learning related fields
- Experience of working in a professional data science position in fast-paced digital organisation (specific experience within digital media publishing is an advantage)
- Expert knowledge in the various processes of mining structured and unstructured data (e.g. retrieval, combining, wrangling, cleansing)
- Strong experience in problem solving with data. Expert knowledge in the application of analytical, statistical and machine learning techniques to real-world data problems
- Comprehensive and up-to-date knowledge of machine learning algorithms. Ability to quickly and accurately recommend the best algorithm to solve any business problem, including the design of bespoke algorithms. Ability to explain the often complex ML algorithms in simple terms
- High proficiency in Python and its libraries and database programming languages, in particular SQL (experience of working with NLP is a plus)
- An excellent command of libraries for data science: NumPy, Pandas, Scikit-Learn, Keras etc.
- Experience working with visualisation tools such as Tableau
- Experience with version control and automatic testing of code
- Self-starter attitude and resourcefulness in overcoming difficulties through creativity and perseverance
- An inquisitive mind and a strong desire to learn are essential. Eagerness to obtain media domain knowledge and understand editorial and production workflows
- Must be able to interact and communicate effectively with diverse groups of technical and non-technical people, both junior and senior
- And lastly, if you share in the Guardian’s mission and values, you’ll be well placed to help us succeed.
You can read more about the Guardian’s purpose here.
Does this all sound like you? Then we’d love to hear from you.
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.
The Guardian offers 26 days’ holiday and a competitive benefits package including a generous pension, healthcare, dental insurance options, cycle to work scheme and 2 paid volunteering days per year.
We have a strong commitment to your learning, development and well-being, with hundreds of different courses available - ranging from bite-sized e-learning courses, to on-site workshops and professional certifications.
It’s the talent, energy and commitment our people bring to our business that make us who we are. Across our business we have some of the brightest and best people in media and beyond: award winning journalists, cutting edge commercial teams, industry leading digital talent and much, much more.
We are a vibrant and diverse community with many events groups and forums to get involved in. Our Kings Place offices overlook Regents Canal, with the newly-developed Coal Drops Yard, Granary Square and St Pancras Square shops, restaurants and pop-ups.
We value and respect all differences in all people (seen and unseen) at the Guardian. We aspire to 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. The Guardian actively encourages applications from BAME candidates.
At The Guardian, many of our staff work flexibly and we will consider all requests for flexible working arrangements.