At a Glance
- Tasks: Analyse user behaviour to enhance cybersecurity solutions and build impactful models.
- Company: Leading cybersecurity awareness provider with a supportive and innovative culture.
- Benefits: Flexible hours, 33 vacation days, and a collaborative work environment.
- Why this job: Make a real impact in cybersecurity while working with cutting-edge data science techniques.
- Qualifications: 3+ years of Data Science experience, 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 in London 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 in London
✨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 give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for the technical side! Brush up on your Python and SQL skills, as these are crucial for the role. Practising coding challenges or working on relevant datasets can help you feel more confident when it comes to technical interviews.
✨Tip Number 4
Apply through our website! We make it super easy for you to submit your application directly. Plus, it shows you're genuinely interested in joining our team, which can give you an edge over other candidates.
We think you need these skills to ace Applied Data Scientist - Human Risk & Product Analytics in London
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!
Define Your Metrics: Since this role involves defining metrics, share any relevant experiences where you’ve done this before. It’ll show us you understand the importance of measuring success in data science.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at SoSafe
✨Know Your Data Science Fundamentals
Brush up on your core data science concepts, especially those related to user behaviour patterns. Be ready to discuss how you've applied Python and SQL in past projects, as this will show your technical prowess and relevance to the role.
✨Prepare Real-World Examples
Think of specific instances where your work has influenced decisions or improved outcomes. This could be a project where you defined metrics that led to better cybersecurity solutions. Sharing these stories will demonstrate your impact and problem-solving skills.
✨Collaborate Like a Pro
Since the role involves working with engineering teams, be prepared to talk about your experience in cross-functional collaboration. Highlight any successful partnerships you've had and how they contributed to project success, showcasing your teamwork abilities.
✨Ask Insightful Questions
Show your interest in the company by preparing thoughtful questions about their current projects or challenges in cybersecurity. This not only demonstrates your enthusiasm but also gives you a chance to assess if the company culture aligns with your values.