Data Journalist

Data Journalist

Full-Time 30000 - 40000 Β£ / year (est.) No working from home possible
New Scientist

At a Glance

  • Tasks: Create engaging data stories and visualisations for various platforms.
  • Company: Join a leading science publication with a focus on innovation.
  • Benefits: Flexible working hours, creative environment, and opportunities for growth.
  • Other info: Inclusive workplace committed to diversity and continuous learning.
  • Why this job: Combine your passion for data, science, and storytelling in an exciting role.
  • Qualifications: Experience in data journalism and a keen interest in science and technology.

The predicted salary is between 30000 - 40000 Β£ per year.

Location: High Street Kensington, London

Position: Full time or part time, minimum 3 days/week

About the Role

We are looking for a talented data journalist to join our editorial team and help us evolve how we tell our stories in new ways. The successful candidate will lead on telling stories with and about data, both self-generated and commissioned by editors. They will create data visualisations including charts, maps, interactive graphics, and other forms of data visualisation. The successful candidate will need to have a genuine curiosity about science and technology and a drive to explore data sets and pull out fascinating stories and angles.

Main Responsibilities

  • Stay on top of new and updating datasets that could be used for New Scientist stories
  • Pitch and produce data-led stories
  • Work with other reporters and editors to illustrate their stories with data
  • Produce graphics and video for a range of platforms, including the website, app, social media and magazine

Person Specification

  • Experience in reporting with data and producing compelling data visualisation
  • A passionate interest in both science and technology
  • A degree in science or technology, ideally
  • Ability to write clearly and communicate complex subject matter for a non-technical audience
  • Good knowledge of digital journalism practices and social media platforms
  • A passion for data and familiarity with basic statistical concepts
  • Excellent news and editorial judgement and storytelling skills
  • Experience of data visualisation software eg Flourish

Skills

  • Able to generate inventive and compelling ideas
  • Excellent editorial judgement and an imaginative approach to journalism
  • Willingness to innovate and experiment
  • Excellent interpersonal skills
  • Able to work effectively under pressure
  • Organised
  • Imaginative and creative
  • Proactive
  • Confident and assertive
  • Flexible and adaptive, commitment to continuous learning

Our Commitment

We are committed to increasing diversity and maintaining an inclusive workplace culture. We welcome applications from all qualified candidates regardless of their ethnicity, race, gender, religious beliefs, sexual orientation, age, marital status, or disability. We are Disability Confident Committed. Please let us know if you require any recruitment documentation in other formats or if you require reasonable adjustments to be made during the recruitment process. Please be assured that any such information will be held separately to your recruitment application and will not be considered as part of the selection process.

Data Journalist employer: New Scientist

Join our dynamic editorial team in High Street Kensington, London, where we foster a culture of innovation and creativity. As a data journalist, you'll have the opportunity to explore fascinating stories at the intersection of science and technology, while benefiting from a supportive environment that values diversity and continuous learning. With flexible working options and a commitment to employee growth, we provide a rewarding workplace for those passionate about data-driven storytelling.

New Scientist

Contact Details:

New Scientist Recruitment Team

We think you need these skills to ace Data Journalist

Communication Skills
Problem-Solving Skills
Python
SQL
Automation
Attention to Detail
Data Engineering