Data Scientist: Protect the Web with AI (London On-site)
Data Scientist: Protect the Web with AI (London On-site)

Data Scientist: Protect the Web with AI (London On-site)

Full-Time 30000 - 42000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Analyse data and apply AI to protect the web from threats.
  • Company: Leading tech firm in London focused on AI innovation.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Why this job: Join a mission-driven team and make a real difference in web security.
  • Qualifications: Fluency in Python and a STEM degree preferred.
  • Other info: Graduate and junior applicants are welcome to apply!

The predicted salary is between 30000 - 42000 £ per year.

A technology firm focused on AI protection in London seeks an experienced Data Scientist. In this full-time on-site role, you will process and analyze data, apply statistical methods, and collaborate with teams to derive insights from complex datasets.

Required skills include fluency in Python and familiarity with data visualization tools. The ideal candidate has a STEM degree and a commitment to team collaboration. Graduate and junior applicants are encouraged to apply.

Data Scientist: Protect the Web with AI (London On-site) employer: Egregious

Join a forward-thinking technology firm in London that prioritises innovation and collaboration, making it an excellent employer for Data Scientists. With a vibrant work culture that fosters professional growth and encourages team synergy, employees benefit from ongoing training opportunities and the chance to work on cutting-edge AI projects. The company's commitment to nurturing talent and promoting a diverse workplace makes it an attractive choice for those seeking meaningful and rewarding careers.
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Contact Detail:

Egregious Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Scientist: Protect the Web with AI (London On-site)

✨Tip Number 1

Network like a pro! Reach out to current employees at the company through LinkedIn or other platforms. A friendly chat can give us insights into the company culture and might even lead to a referral.

✨Tip Number 2

Prepare for the interview by brushing up on your Python skills and data visualisation tools. We recommend doing some mock interviews with friends or using online platforms to get comfortable with common questions.

✨Tip Number 3

Showcase your projects! If you’ve worked on any relevant data science projects, make sure to highlight them during your interview. We love seeing practical applications of your skills.

✨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, it shows you’re genuinely interested in joining our team.

We think you need these skills to ace Data Scientist: Protect the Web with AI (London On-site)

Data Analysis
Statistical Methods
Python
Data Visualization Tools
Team Collaboration
STEM Degree
Problem-Solving Skills
Communication Skills

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your fluency in Python and any experience with data visualisation tools. We want to see how you can apply these skills to protect the web with AI!

Tailor Your Application: Don’t just send a generic CV! Tailor your application to reflect the job description. Mention your STEM degree and any relevant projects that showcase your data analysis prowess.

Collaborate and Communicate: Since teamwork is key for us, share examples of how you've collaborated with others in past roles. This will show us you're a great fit for our team-oriented culture.

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 don’t miss out on any important updates!

How to prepare for a job interview at Egregious

✨Know Your Data Science Fundamentals

Brush up on your statistical methods and data analysis techniques. Be ready to discuss how you've applied these in past projects, especially using Python. This will show your depth of knowledge and practical experience.

✨Showcase Your Collaboration Skills

Since the role involves teamwork, prepare examples of how you've successfully collaborated with others. Think about specific projects where you worked with cross-functional teams and how you contributed to achieving common goals.

✨Familiarise Yourself with Data Visualisation Tools

Make sure you know the data visualisation tools relevant to the job. Be prepared to discuss how you've used them to present insights from complex datasets. If you have a portfolio, bring it along to showcase your work.

✨Ask Insightful Questions

Prepare thoughtful questions about the company's approach to AI protection and how the data science team contributes to that mission. This shows your genuine interest in the role and helps you assess if it's the right fit for you.

Data Scientist: Protect the Web with AI (London On-site)
Egregious
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  • Data Scientist: Protect the Web with AI (London On-site)

    Full-Time
    30000 - 42000 £ / year (est.)
  • E

    Egregious

    50-100
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