Data Scientist

Data Scientist

Location: Delft

Our Global Data Science Team is primarily responsible for applying smart usage of data, Machine Learning (ML) algorithms, and upcoming Artificial Intelligence (AI) techniques to solve present challenges in the cybersecurity domain.

The teams’ work focuses on three pillars within our Managed SOC services:

- enhancing detection capabilities of adversarial behavior in our customer’s networks

- increasing automation of incident handling and workflows to assist our Security Analysts

- continuously quantifying, reporting, and improving on the quality of our service.

Our Managed SOC services deploy different technologies (e.g. Network detection, endpoint detection and SIEMs) which generate a vast amount of data on our customer’s network and cloud environments. The Data Scientist we are looking for is thrilled to apply their knowledge on this data to turn it into high-quality, actionable information for our SOC and customers.

Members of the Data Science Team work closely together with experts in different fields ranging from digital forensics experts, network analysts and threat intelligence analysts. While affinity with one or more of these fields is a big plus, there is ample opportunity to learn the necessary cybersecurity knowledge on the job!

Since the teams’ work is diverse, we are looking for candidates with a wide range of backgrounds. The exact responsibilities of any candidate can be tailored given their experience and skillset. However, the position will require candidates to be able to translate their ideas into (preferably) code so that they can be tested early in development. Therefore, familiarity with basic software development principles is essential.

Key accountabilities:

·        Leverage Machine Learning and/or Artificial Intelligence techniques to create high-quality detection models for detection of anomalous behavior on analytical data provided by our advanced sensors.

·        Devise and (help) create smart improvements on our operations.

·        Devise, measure, and interpret performance metrics of e.g. algorithm performance or quality of our overall service so that we make our quality measurable to our customers and our own team.

·        Keep current with new developments in ML and AI (including Large Language Models) and their applicability on use cases within our Managed Services technology stack.

Desired Requirements:

·        A bachelor’s degree in Machine Learning, Cybersecurity, Computer Science or a related field

·        A strong analytical and problem-solving mindset

·        Excellent communication, presentation, and interpersonal skills

·        Experience with or willingness to learn Python and different Machine Learning toolkits.

·        Experience with or willingness to learn version control (Git, Azure Dev Ops, etc.)

·        Experience with at least one of the following: an NDR product, an EDR product or a SIEM is an advantage.

·        Experience with applying ML/AI knowledge specifically within the cybersecurity domain is an advantage.

Our Offer 

You will work in a place at the top of cybersecurity where your ideas are valued. You may not always be able to share all the details about your work, but you can tell that you are contributing to a safer society. Additionally, we offer you:   

• A good salary that matches the things you have already done and will do;   

• Flexible working hours and flexibility in working from home or at the office, allowing you to optimally combine your private life with your work;   

• A favorable pension scheme, 26 vacation days (+4 mandatory days off), and 8% holiday pay with a full-time contract;   

• Plenty of development opportunities: you can gain and share knowledge through training, TechTalks, events, and our own Fox Academy;   

• A laptop and business phone. If you use your own phone, you will receive a reimbursement of up to €25 per month;   

• A remote work allowance (for hybrid working);   

• A performance bonus and profit sharing because we value your effort;   

• When we work in the office, we gather every day for a delicious lunch.   

Become a Foxer! 

Do you recognize yourself in the above description and see the match? Let us know how you envision this! You can apply via the button below. You will then be directed to our ATS Workday, allowing us to process your application quickly.   

A comprehensive screening is part of the onboarding process at Fox-IT.   

Help from recruitment agencies, however well-intentioned, is (really) not needed.   

About Your Application 

We review every application and will contact you if your knowledge and work experience match what we are looking for. If you do not hear from us within 10 days, please do not be disappointed; we will keep your CV in our database for potential future vacancies and encourage you to keep an eye on our vacancies on our website. Feel free to apply for another position that appeals to you!   

If you do not want us to keep your details, please send an email to global.ta@nccgroup.com. All personal data is stored in accordance with the NCC Group's privacy policy. We are committed to diversity and flexibility in the workplace. If you need any adjustments during the application process, please let us know.   

If you need further modifications or additional assistance, feel free to ask!