At a Glance
- Tasks: Analyse user behaviour and build ML models to drive actionable insights.
- Company: Leading cybersecurity awareness provider focused on a safer digital environment.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Why this job: Join a fast-growing team making a real impact in cybersecurity.
- Qualifications: 3+ years in Data Science with strong Python and SQL skills.
- Other info: Collaborative environment with a focus on innovation and safety.
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) in London employer: Sosafe Awareness
Contact Detail:
Sosafe Awareness Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied Data Scientist — Product Analytics & Risk (Remote) in London
✨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 you insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your best data science projects, especially those involving user behaviour analysis or ML models. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your Python and SQL skills with real-world problems. Use platforms like Kaggle to tackle challenges that mirror what you might face in the role.
✨Tip Number 4
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 mission to make the digital world safer.
We think you need these skills to ace Applied Data Scientist — Product Analytics & Risk (Remote) in London
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.
Be Specific About Your Experience: When detailing your past roles, focus on your achievements in data analysis and machine learning. We love to see concrete examples of how you've turned insights into actionable decisions.
Collaboration is Key: Since this role involves working closely with engineering teams, mention any collaborative projects you've been part of. We appreciate candidates who can work well with others to achieve common goals.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity!
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 your past projects in detail, showcasing how you've used Python and SQL to derive insights.
✨Showcase Collaboration Skills
Since this role involves working closely with engineering teams, prepare examples of how you've successfully collaborated in the past. Highlight any cross-functional projects where you contributed to a shared goal, demonstrating your ability to communicate effectively.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Practice coding challenges in Python and SQL, and be ready to explain your thought process. This will show your problem-solving skills and your ability to think on your feet.
✨Understand the Company’s Mission
Familiarise yourself with the company's mission to enhance cybersecurity awareness. Be prepared to discuss how your skills can contribute to making the digital environment safer, and express your enthusiasm for being part of that mission.