Applied Data Scientist — Product Analytics & Risk (Remote)
Applied Data Scientist — Product Analytics & Risk (Remote)

Applied Data Scientist — Product Analytics & Risk (Remote)

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Analyse user behaviour and build ML models to drive actionable insights.
  • Company: Fast-growing cybersecurity awareness provider focused on digital safety.
  • Benefits: Remote work, competitive salary, and opportunities for professional growth.
  • Why this job: Join a mission-driven team making the digital world safer for everyone.
  • Qualifications: 3+ years in Data Science with strong Python and SQL skills.
  • Other info: Collaborative environment with a focus on innovation and impact.

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

A leading cybersecurity awareness provider is seeking an Applied Data Scientist to establish and grow their data science capabilities. This role involves analyzing user behavior, building ML models, and turning insights into actionable decisions.

The ideal candidate will have over 3 years of experience in Data Science, strong Python and SQL skills, and the ability to collaborate effectively with engineering teams.

Join a fast-growing company dedicated to making a digital environment safer.

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

As a leading cybersecurity awareness provider, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to thrive. With a strong focus on professional development, we offer numerous growth opportunities and the chance to work on impactful projects that enhance digital safety. Join us remotely and be part of a dynamic team dedicated to making a difference in the cybersecurity landscape.
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Contact Detail:

Sosafe Awareness Recruiting Team

StudySmarter Expert Advice 🤫

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

Tip Number 1

Network like a pro! Reach out to people in the cybersecurity and data science fields on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.

Tip Number 2

Show off your skills! Create a portfolio showcasing your best projects, especially those involving user behaviour analysis or ML models. 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. Practice common data science interview questions and be ready to discuss how you've collaborated with engineering teams in the past. Confidence is key!

Tip Number 4

Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the role.

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

Data Science
User Behavior Analysis
Machine Learning (ML)
Python
SQL
Collaboration Skills
Data Analysis
Actionable Insights

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 data science projects.

Tailor Your Application: Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Applied Data Scientist role. We love seeing candidates who understand our mission and values.

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 experiences without wading through unnecessary fluff.

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 you’re keen on joining our team!

How to prepare for a job interview at Sosafe Awareness

Know Your Data Science Stuff

Make sure you brush up on your data science fundamentals, especially around user behaviour analysis and machine learning models. Be ready to discuss specific projects you've worked on, particularly those that involved Python and SQL, as these skills are crucial for the role.

Showcase Your Collaboration Skills

Since this role requires working closely with engineering teams, think of examples where you've successfully collaborated in the past. Highlight how you communicated complex data insights to non-technical team members, as this will demonstrate your ability to bridge the gap between data science and engineering.

Prepare for Technical Questions

Expect some technical questions during the interview. Practice coding challenges in Python and SQL, and be prepared to explain your thought process. This will not only show your technical prowess but also your problem-solving approach, which is key for an Applied Data Scientist.

Understand the Company’s Mission

Familiarise yourself with the company's mission to enhance cybersecurity awareness. Be ready to discuss how your work can contribute to making the digital environment safer. Showing genuine interest in their goals will set you apart from other candidates.

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

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