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- Tasks: Analyse data and develop algorithms to combat online disinformation.
- Company: Egregious, a pioneering company dedicated to defending the internet.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Why this job: Join a mission-driven team and make a real impact on the future of the web.
- Qualifications: Experience in Python and a degree in a STEM field required.
- Other info: Graduate and junior applicants are encouraged to apply!
The predicted salary is between 30000 - 50000 £ per year.
Company Description
The rise of AI has transformed the information landscape; online disinformation campaigns and manipulated narratives - once rare or irrelevant - are now everywhere. The internet is at risk of becoming a dead zone filled with GenAI ‘slopaganda’. Superhuman AI makes it increasingly difficult for humans to detect bots at all, so the team at Egregious have designed advanced algorithms to protect the internet from these novel threats. We are looking for another Data Scientist to join our extraordinary team. Someone who thinks the internet is worth defending, and who is determined to have an outsized impact on the future of the web.
Role Description
This is a full-time on-site role for a Data Scientist at Egregious' office in London. As a Data Scientist, you will be responsible for data processing, analysis, applying statistical methods, data visualisation, and utilising data analytics techniques including NLP and ML to support decision-making. You will collaborate with cross-functional teams to identify trends, patterns, and insights from large, complex datasets.
Requirements
- Fluent in Python, Pandas, Numpy, Matplotlib & Scikit-Learn
- 5+ consecutive years living in the UK
- Bachelor's or above in a STEM field (e.g., Maths, Physics, Data Science, Statistics, Computer Science)
- Ability to work effectively in a team environment
Desired Skills
- Selenium, BeautifulSoup, Scrapy or similar
- Tensorflow, PyTorch or Keras
- Git, Docker, Kubernetes and Azure/AWS/GCloud
- PostgreSQL, MySQL, ElasticSearch, MongoDB or similar
- Strong problem-solving and critical thinking skills
- Excellent communication and presentation skills
This is an onsite role. Graduate and junior applicants welcome!
Data Scientist employer: Egregious
Contact Detail:
Egregious Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Network like a pro! Reach out to current employees at Egregious on LinkedIn or through mutual connections. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your Python and data analysis skills. We should be ready to showcase our knowledge of Pandas, Numpy, and Scikit-Learn with real-world examples. Practice makes perfect!
✨Tip Number 3
Show off your passion for defending the internet! During interviews, we can discuss how our work as Data Scientists can combat disinformation and enhance online safety. Let’s make it clear that we care about the mission!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our submission to highlight how our skills align with Egregious's goals.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Show Your Passion for the Internet: When you're writing your application, let us know why you think the internet is worth defending. Share your thoughts on the challenges we face today and how your skills can help tackle them. We love seeing candidates who are genuinely excited about making a difference!
Highlight Relevant Skills: Make sure to showcase your experience with Python, Pandas, and other tools mentioned in the job description. We want to see how you've used these skills in real-world scenarios, so don’t hold back on the details. The more specific you are, the better!
Keep It Clear and Concise: While we appreciate creativity, clarity is key! Make your application easy to read by using clear language and a straightforward structure. Avoid jargon unless it’s necessary, and remember, we’re looking for someone who can communicate effectively.
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 us that you’re keen on joining our team at Egregious!
How to prepare for a job interview at Egregious
✨Know Your Tech Stack
Make sure you’re well-versed in the tools and technologies mentioned in the job description. Brush up on Python, Pandas, Numpy, and Scikit-Learn, as these are crucial for the role. Being able to discuss your experience with these tools will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex data problems. Think about how you identified trends or patterns in large datasets and the impact of your findings. This will demonstrate your analytical thinking and ability to contribute to the team’s goals.
✨Communicate Clearly
Since excellent communication skills are a must, practice explaining your past projects and technical concepts in simple terms. You might be asked to present your findings, so being able to convey complex ideas clearly will set you apart from other candidates.
✨Understand the Company’s Mission
Familiarise yourself with Egregious and their mission to protect the internet from disinformation. Be prepared to discuss why you believe this is important and how your skills can help achieve their goals. Showing genuine interest in their work will make a positive impression.
