At a Glance
- Tasks: Analyse threats and develop detection algorithms using Python and C#.
- Company: Join KnowBe4, a leader in cybersecurity training and threat intelligence.
- Benefits: Competitive salary, hands-on experience, and opportunities for growth.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
- Why this job: Make a real impact on security by identifying phishing trends and protecting users.
- Qualifications: Experience in Python, C#, and a passion for cybersecurity.
The predicted salary is between 63000 - 77000 £ per year.
Know Be4 empowers the modern workforce to make smarter security decisions daily.
The Threat Analyst role sits in the Threat Research Lab in England, contributing to detection models and threat intelligence for Know Be4’s platforms.
You will analyze threats, develop detection algorithms in Python and C#, and apply ML to identify phishing trends, helping us secure both humans and AI agents.
This position offers a hands-on technical environment with opportunity to influence security outcomes across
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Graduate Data Scientist — Cyber Analytics & Threat Detection in Cheltenham employer: Doist
Brink's is an exceptional employer that fosters a collaborative and innovative work culture, empowering employees to drive global commercial strategies in the ATM lifecycle solutions sector. With a strong focus on professional development and growth opportunities, employees are encouraged to expand their skills while contributing to sustainable growth and operational excellence. Located in a dynamic environment, Brink's offers unique advantages such as a diverse team and the chance to build long-term partnerships with global customers, making it a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate Data Scientist — Cyber Analytics & Threat Detection in Cheltenham
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Graduate Data Scientist — Cyber Analytics & Threat Detection in Cheltenham
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!
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Craft a Tailored Cover Letter:For a full-time role at Doist, 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 Doist. 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 Doist
✨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!
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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 Doist!
✨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.
