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- Tasks: Analyse user behaviour to enhance cybersecurity solutions and build impactful models.
- Company: Leading cybersecurity awareness provider in a supportive, innovative environment.
- Benefits: Flexible hours, 33 vacation days, and a collaborative work culture.
- Why this job: Make a real impact on cybersecurity while working with cutting-edge data science techniques.
- Qualifications: 3+ years of Data Science experience with strong Python and SQL skills.
- Other info: Great opportunity for career growth in a dynamic field.
The predicted salary is between 36000 - 60000 £ per year.
A leading cybersecurity awareness provider is looking for an Applied Data Scientist in Greater London. This role requires 3+ years of experience in Data Science, focusing on user behavior patterns to enhance cybersecurity solutions.
You will define metrics, collaborate with engineering, and use your strong Python and SQL skills to build models that influence real-world decisions.
The company offers a supportive, innovative work environment along with flexible hours and 33 vacation days.
Applied Data Scientist - Human Risk & Product Analytics employer: SoSafe
Contact Detail:
SoSafe Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Data Scientist - Human Risk & Product Analytics
✨Tip Number 1
Network like a pro! Reach out to people in the cybersecurity field, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that might just land you an interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data science projects, especially those related to user behaviour and cybersecurity. This will not only demonstrate your expertise but also make you stand out from the crowd.
✨Tip Number 3
Prepare for the interview by brushing up on your Python and SQL skills. Be ready to discuss how you've used these tools in past projects, particularly in defining metrics and building models. Confidence in your technical abilities can really impress potential employers.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, applying directly can sometimes give you a leg up in the hiring process.
We think you need these skills to ace Applied Data Scientist - Human Risk & Product Analytics
Some tips for your application 🫡
Show Off Your Experience: Make sure to highlight your 3+ years of experience in Data Science. We want to see how you've tackled user behaviour patterns and what impact your work has had on cybersecurity solutions.
Be Specific About Your Skills: When mentioning your Python and SQL skills, give us examples of projects where you used these tools. We love seeing how you've built models that influenced real-world decisions!
Collaborate Like a Pro: Since this role involves working with engineering teams, share any experiences where you've collaborated effectively. We value teamwork and want to know how you can contribute to our innovative environment.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and get to know you better. We’re excited to see what you bring to the table!
How to prepare for a job interview at SoSafe
✨Know Your Data Science Stuff
Make sure you brush up on your data science fundamentals, especially around user behaviour patterns. Be ready to discuss how you've used Python and SQL in past projects, and think of specific examples where your work has influenced decisions.
✨Understand Cybersecurity Basics
Since the role is focused on cybersecurity awareness, it’s crucial to have a basic understanding of cybersecurity concepts. Familiarise yourself with common threats and how data science can help mitigate them. This will show your genuine interest in the field.
✨Prepare for Technical Questions
Expect technical questions that test your problem-solving skills. Practice coding challenges in Python and SQL, and be prepared to explain your thought process. It’s not just about getting the right answer; they want to see how you approach problems.
✨Show Your Collaborative Spirit
This role involves collaboration with engineering teams, so be ready to discuss your experience working in teams. Share examples of how you’ve successfully collaborated on projects, and highlight your communication skills. A supportive work environment thrives on good teamwork!
