At a Glance
- Tasks: Gather and analyse open-source online data to combat organised crime.
- Company: Join Moonshot, a leader in impactful online threat intelligence.
- Benefits: Gain valuable experience, work on meaningful projects, and develop your analytical skills.
- Other info: Exciting opportunity for career growth in a dynamic environment.
- Why this job: Make a real difference by contributing to vital research and client strategies.
- Qualifications: Strong analytical skills and familiarity with social media data.
The predicted salary is between 30000 - 40000 £ per year.
Moonshot is recruiting OSINT Analysts to gather and analyse open-source online data for a specific organised crime project. You will help advance research methodologies and support strategic understanding for clients.
You will work with data sources including social media, contribute to high-quality analytical reports, and communicate findings to clients on tight schedules. DBS/SC clearance and UK residency checks are part of the process.
#J-18808-LjbffrOSINT Analyst: Impactful Online Threat Intelligence employer: Moonshot
Moonshot is an exceptional employer that fosters a dynamic work culture where innovation and collaboration thrive. As an OSINT Analyst, you will have the opportunity to engage in meaningful work that directly impacts the understanding of organised crime, while benefiting from professional growth opportunities and a supportive team environment. Located in the UK, we offer a unique chance to contribute to high-quality analytical reports and make a real difference in the field of online threat intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land OSINT Analyst: Impactful Online Threat Intelligence
✨Get Involved in Data Science Meetups
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✨Apply Directly through Our Website
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We think you need these skills to ace OSINT Analyst: Impactful Online Threat Intelligence
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 Moonshot, 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 Moonshot. 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 Moonshot
✨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 Moonshot!
✨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.