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For Companies At a Glance
- Tasks: Analyse social media data to combat harmful content and misinformation.
- Company: Join a mission-driven team dedicated to making the internet safer.
- Benefits: Flexible working, 28 days annual leave, and opportunities for professional growth.
- Other info: Diverse team environment with a focus on impactful research.
- Why this job: Make a real difference in online safety while developing your data skills.
- Qualifications: Experience in data analysis and strong technical skills in Python and machine learning.
The predicted salary is between 40000 - 50000 £ per year.
Location: Flexible, with the option of using our London office.
Key purpose: To carry out data gathering and analysis for a project team.
Contract: Full-time, permanent role.
The Role
We are looking for a Data Scientist who can apply and develop our techniques for analysing harmful content on social media platforms. If you have a talent for data-driven social media research and want to help stop the spread of hate and lies online, we want to hear from you. The successful candidate will join a small team of data experts contributing to our projects, playing an important role in research that will be quoted by governments, journalists and academics. You will work closely with other members of our talented research team and collaborate with other teams to ensure our research has an impact.
To do this job, you will need proven experience of producing original and insightful analysis of social media data. Detailed knowledge of the topics we study is not required, but you will need to show a deep understanding of how social media platforms work and previous experience of researching social media or AI harms is a plus. We know our work will be at its best if it is created by people with a range of backgrounds and experiences. We are keen to interview people who will add diversity to our team.
Job Responsibilities
- Carrying out advanced data collection and analysis to meet project team needs.
- Communicating with team members to understand project goals and data needs.
- Adapting data collection and analysis methodologies to meet new challenges:
- Collecting data from social media or AI platforms.
- Processing text, image, audio and video content.
- Analysing text and media using machine-learning techniques.
- Identifying content containing hate, misinformation or harms to children.
- Collaborating with other Data Team members to understand and apply methodologies.
- Clearly communicating research findings in writing, meetings and visualisations.
- Collaborating with the team on our quality control processes for datasets and reports.
Person Specification
- University degree in a relevant field (such as social or computer science) or experience in a relevant profession (such as data journalism or think tank research).
- Strong technical skills relevant to analysing and extracting social media data, such as:
- LLM-based text analysis.
- Traditional machine-learning for text analysis.
- Rule-based text analysis such as regular expressions (regex).
- Using APIs to collect data from social media platforms or third-party tools.
- Practical experience coding in Python, including packages such as pandas and NumPy.
- Explaining techniques, analysis and limitations to a non-technical audience.
- Comparing strengths and weaknesses of available techniques for a given project.
- Using Microsoft Excel to summarise results in a clear and accessible format.
Compensation Package
Location: London, UK, hybrid. 28 days annual leave plus.
Data Scientist in London employer: Center for Countering Digital Hate
Contact Detail:
Center for Countering Digital Hate Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data analysis projects, especially those related to social media. We love seeing real examples of your work, so make sure to highlight any insights you've uncovered.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding of social media platforms. We want to see how you think, so be ready to discuss your approach to analysing harmful content and share your thought process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for diverse candidates who can bring fresh perspectives to our team.
We think you need these skills to ace Data Scientist in London
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let us see your enthusiasm for data science and social media research. Share any relevant projects or experiences that highlight your skills in analysing harmful content online. We love to see candidates who are genuinely excited about making a difference!
Tailor Your CV and Cover Letter: Make sure to customise your CV and cover letter for the Data Scientist role. Highlight your experience with social media data analysis and any technical skills that match our requirements. This shows us you’ve done your homework and understand what we’re looking for.
Be Clear and Concise: In your written application, clarity is key! Use straightforward language and avoid jargon where possible. We want to easily grasp your experience and how it relates to the role, so keep it simple and to the point.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into our hands quickly. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Center for Countering Digital Hate
✨Know Your Data
Before the interview, brush up on your knowledge of data analysis techniques, especially those relevant to social media. Be ready to discuss your experience with machine learning and how you've applied it in past projects. This will show that you’re not just familiar with the tools, but you can also use them effectively.
✨Showcase Your Communication Skills
Since you'll be working closely with a team, it's crucial to demonstrate your ability to communicate complex ideas clearly. Prepare examples of how you've explained technical concepts to non-technical audiences in the past. This will highlight your collaborative spirit and adaptability.
✨Understand the Impact of Your Work
Familiarise yourself with the implications of harmful content on social media. Be prepared to discuss why this role matters and how your work can contribute to positive change. Showing that you care about the mission will resonate well with the interviewers.
✨Prepare for Technical Questions
Expect some technical questions related to data extraction and analysis. Review your coding skills in Python and be ready to discuss specific packages like pandas and NumPy. Practising common data science problems can help you feel more confident during this part of the interview.