Applied Data Scientist - Human Risk & Product Impact in London

Applied Data Scientist - Human Risk & Product Impact in London

London Full-Time 36000 - 60000 £ / year (est.) No working from home possible
SoSafe

At a Glance

  • Tasks: Collaborate with engineers to develop predictive models for human cyber risks.
  • Company: Leading UK cybersecurity firm focused on innovation and teamwork.
  • Benefits: Flexible working, generous vacation days, and exciting employee perks.
  • Other info: Great opportunities for professional growth in a supportive environment.
  • 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.

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

A leading cybersecurity company in the UK is seeking an Applied Data Scientist to enhance its data science capabilities. The role entails collaborating closely with the Engineering team to develop predictive models that quantify human cyber risks.

Ideal candidates should possess:

  • Over 3 years of experience in data science
  • Strong skills in Python and SQL
  • A data-driven mindset

The company offers a flexible working environment, substantial vacation days, and various employee perks.

Applied Data Scientist - Human Risk & Product Impact in London employer: SoSafe

SoSafe is an exceptional employer that prioritises innovation and employee growth, making it an ideal place for a Staff IT Engineer. With a strong focus on building automation platforms and driving AI-native transformation, employees are encouraged to develop their skills in a supportive environment that values collaboration and mentorship. Located in a vibrant tech hub, SoSafe offers unique opportunities to work on cutting-edge projects while contributing to a mission of enhancing digital safety.

SoSafe

Contact Details:

SoSafe Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Applied Data Scientist - Human Risk & Product Impact in London

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like SoSafe!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Applied Data Scientist - Human Risk & Product Impact at SoSafe.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like SoSafe.

Apply Directly through Our Website

When you find a suitable opening like Applied Data Scientist - Human Risk & Product Impact at SoSafe, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Applied Data Scientist - Human Risk & Product Impact in London

Data Science
Predictive Modelling
Python
SQL
Collaboration
Data-Driven Mindset
Cybersecurity Knowledge

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at SoSafe, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at SoSafe. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at SoSafe

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at SoSafe!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.