Applied Data Scientist - Cyber Risk & Product Analytics (Remote)
Applied Data Scientist - Cyber Risk & Product Analytics (Remote)

Applied Data Scientist - Cyber Risk & Product Analytics (Remote)

Full-Time 36000 - 60000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Prototype innovative solutions in data science and analyse risk-related data.
  • Company: Leading cybersecurity firm with a focus on collaboration and innovation.
  • Benefits: Unique perks for wellbeing, hybrid work options, and competitive salary.
  • Why this job: Join a dynamic team and make a real impact in cybersecurity.
  • Qualifications: 3+ years in Data Science, strong Python and SQL skills required.
  • Other info: Exciting opportunities for professional growth in a supportive environment.

The predicted salary is between 36000 - 60000 £ per year.

A cybersecurity firm is seeking an experienced Applied Data Scientist to establish its data science capabilities. You will have the opportunity to prototype and explore innovative solutions while working closely with a collaborative team.

The ideal candidate has over 3 years of experience in Data Science, strong Python and SQL skills, and a solid background in analyzing risk-related data. This role is hybrid with options for remote work and includes unique perks to support your wellbeing.

Applied Data Scientist - Cyber Risk & Product Analytics (Remote) employer: Sosafe Awareness

Join a forward-thinking cybersecurity firm that prioritises innovation and collaboration, offering you the chance to shape its data science capabilities from anywhere. With a strong emphasis on employee wellbeing, our hybrid work model provides flexibility alongside unique perks, fostering a supportive culture that encourages professional growth and exploration of cutting-edge solutions in the field of cyber risk and product analytics.
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Contact Detail:

Sosafe Awareness Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Applied Data Scientist - Cyber Risk & Product Analytics (Remote)

✨Tip Number 1

Network like a pro! Reach out to people in the cybersecurity field, especially those working as Applied Data Scientists. A friendly chat can lead to insider info about job openings and even referrals.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data science projects, especially those related to risk analysis. This will give potential employers a taste of what you can do and set you apart from the crowd.

✨Tip Number 3

Prepare for interviews by brushing up on your Python and SQL skills. Be ready to discuss how you've used these tools in past projects, particularly in analysing risk-related data. Practice makes perfect!

✨Tip Number 4

Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented folks like you. Plus, it’s a great way to stay updated on new roles that match your skills.

We think you need these skills to ace Applied Data Scientist - Cyber Risk & Product Analytics (Remote)

Data Science
Python
SQL
Risk Analysis
Prototyping
Innovative Solutions
Collaboration
Data Analysis

Some tips for your application 🫡

Show Off Your Skills: Make sure to highlight your experience with Python and SQL in your application. We want to see how you've used these skills in real-world scenarios, especially in analysing risk-related data.

Tailor Your Application: Don’t just send a generic CV and cover letter. Take the time to tailor your application to the role of Applied Data Scientist. Mention specific projects or experiences that align with our needs in cybersecurity and product analytics.

Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm for the role.

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 this exciting opportunity in our collaborative team.

How to prepare for a job interview at Sosafe Awareness

✨Know Your Data Science Stuff

Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've used these tools, especially in relation to risk analysis. This will show that you not only have the technical know-how but also practical experience.

✨Showcase Your Problem-Solving Skills

Prepare to talk about how you've tackled complex data problems in the past. Think of examples where you had to innovate or prototype solutions. This is a great way to demonstrate your analytical thinking and creativity, which are key for this role.

✨Understand Cyber Risk Fundamentals

Familiarise yourself with the basics of cyber risk and how data science can mitigate it. Being able to speak knowledgeably about the intersection of data science and cybersecurity will set you apart from other candidates and show your genuine interest in the field.

✨Ask Insightful Questions

Prepare some thoughtful questions about the company's data science capabilities and team dynamics. This not only shows your enthusiasm for the role but also helps you gauge if the company culture aligns with your values, especially since it's a collaborative environment.

Applied Data Scientist - Cyber Risk & Product Analytics (Remote)
Sosafe Awareness

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