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- Tasks: Analyze and interpret large data sets in real-time for aerospace and defense projects.
- Company: Join Bullisher, a fintech startup revolutionizing the $3 trillion aerospace and defense industry.
- Benefits: Work in an innovative environment with cutting-edge technology and agile methodologies.
- Why this job: Be part of a team that influences government policies and drives industry change through data.
- Qualifications: Masters/PHD in Data Science or Computer Science; extensive experience in coding languages required.
- Other info: Visa sponsorship is not available; must be legally authorized to work in the UK.
The predicted salary is between 36000 - 60000 £ per year.
Bullisher is a data centric fintech Solution provider in the aerospace and defense industry for institutional level investors, looking to disrupt and revolutionise a $3 trillion dollar industry. As a startup, we spearhead an industrial-leading Blackbox to facilitate and administer trade agreements pioneered by a vehicle, driven by our new generation benchmark delivering solutions through innovation with uncompromising agility. We predict trends in the aerospace and government defense entities, political shifts, and the ability to influence actual changes in government policies through innovation.
JOB DESCRIPTION:
The oversight requires you to collect and harness finite amounts of data, analyze, and interpret large amounts of data from campaign planning execution, where decisions and executions have their immediate impact on the outcome of engagement (IN REAL-TIME), conforming to the Joint All-Domain and Electromagnetic Spectrum Operations Approach, Radio Spectrum Approach, JAIC (Joint Artificial Intelligence Centre Approach), JADC2 (Joint All-Domain Command and Control) Approach, and JADC2 Architecture. A set of net-centric tenets associated with data.
QUALIFICATIONS AND KEY REQUIREMENTS
- Masters/PHD in Computer Science or Data Science/Computer Network Engineering.
- Extensive level experience in R, Python, C++ or Java and strong database design and coding skills.
- Information Systems Security Engineering Professional (ISSEP)
- Certified Information Systems Security Professional (CISSP)
- Certified Cloud Security Professional (CCSP)
- Information Assurance System Architecture and Engineer (IASAE)
- It is prerequisite to be certified in one of the listed DoD 8570 Certifications.
ESSENTIAL REQUIREMENTS
- A Masters degree in Data Science or Computer Science.
- Employees must be legally authorized to work in the UK. Verification of employment eligibility will be required at the time of hire. Visa sponsorship is not available for this position.
- Information Systems Security Engineering Professional (ISSEP)
- Certified Information Systems Security Professional (CISSP)
- Certified Cloud Security Professional (CCSP)
- Information Assurance System Architecture and Engineer (IASAE)
- It is prerequisite to be certified in one of the listed DoD 8570 Certifications.
PREFERRED QUALIFICATIONS
- 5+ years working experience with big data.
- PHD degree in Data Science, Computer Science, or Information Systems Management.
- Solid knowledge and experience working in various coding languages, including Python, R, and SQL.
- Strong verbal and written communication skills. Excellent analytical skills.
- Certified Information Security Manager (CISM) is essential.
- Offensive Security Certified Professional (OSCP) is essential.
- Certified Authorization Professional (CAP)
- It is prerequisite to be certified in one of the listed DoD 8570 Certifications.
INTERVIEW PROCESS:
- STAGE 1: COGNITIVE ABILITY TEST
- STAGE 2: COGNITIVE ASSESSMENT SCREENING WITH A 30+ YEARS EXPERIENCE PSYCHOLOGIST:
- STAGE 3: PRE-SCREENING (verification checks & security clearance)
- STAGE 4: INTERVIEW WITH THE CEO, CTO & GC
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Data Scientist – Aerospace and Defence employer: Gentrian
Contact Detail:
Gentrian Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist – Aerospace and Defence
✨Tip Number 1
Familiarize yourself with the specific frameworks and approaches mentioned in the job description, such as JADC2 and JAIC. Understanding these concepts will not only help you during the interview but also demonstrate your commitment to the role.
✨Tip Number 2
Brush up on your coding skills in R, Python, C++, and Java. Since extensive experience in these languages is required, being able to discuss your past projects or contributions using these languages can set you apart from other candidates.
✨Tip Number 3
Prepare for the cognitive ability test by practicing analytical reasoning and problem-solving exercises. This will help you feel more confident and perform better during the assessment stage of the interview process.
✨Tip Number 4
Network with professionals in the aerospace and defense industry. Engaging with others in this field can provide valuable insights and potentially lead to referrals, increasing your chances of landing an interview with us.
We think you need these skills to ace Data Scientist – Aerospace and Defence
Some tips for your application 🫡
Understand the Company: Familiarize yourself with Bullisher's mission and values. Highlight how your skills and experiences align with their goal of revolutionizing the aerospace and defense industry.
Tailor Your CV: Customize your CV to emphasize your experience in data science, particularly in relation to big data and coding languages like R, Python, and SQL. Make sure to include any relevant certifications.
Craft a Strong Cover Letter: Write a compelling cover letter that showcases your analytical skills and experience in real-time data analysis. Mention specific projects or achievements that demonstrate your ability to influence outcomes through data.
Prepare for the Interview Process: Anticipate the cognitive ability test and prepare accordingly. Be ready to discuss your technical skills and how they apply to the job requirements during the interview with the CEO, CTO, and GC.
How to prepare for a job interview at Gentrian
✨Showcase Your Technical Skills
Be prepared to discuss your experience with R, Python, C++, and Java in detail. Highlight specific projects where you utilized these languages, especially in the context of big data analysis or real-time data processing.
✨Understand the Industry Context
Familiarize yourself with the aerospace and defense sectors, particularly how data analytics is transforming these industries. Be ready to discuss current trends and how they might impact decision-making processes.
✨Demonstrate Analytical Thinking
Prepare to solve problems on the spot during the interview. You may be asked to analyze a dataset or interpret results in real-time, so practice articulating your thought process clearly and logically.
✨Communicate Effectively
Strong verbal and written communication skills are essential. Practice explaining complex technical concepts in simple terms, as you may need to communicate findings to non-technical stakeholders.
