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faculty

Data Scientist

faculty is seeking a highly skilled Data Scientist to join the Defence department, focusing on advanced data modeling and predictive analytics. This role offers an excellent opportunity to apply cutting-edge machine learning techniques to solve mission-critical problems within the defence industry, all from a fully remote setup in the UK. The core mission involves taking complex, unstructured datasets—ranging from logistics patterns to operational performance metrics—and transforming them into clear, actionable intelligence. Key responsibilities include developing robust predictive models (e.g., time-series forecasting, anomaly detection), building scalable data pipelines, and collaborating closely with subject matter experts to validate findings. You will be expected to mentor junior team members and drive the adoption of advanced analytics practices across projects. The ideal candidate must possess expert proficiency in Python (including libraries like Pandas, NumPy, Scikit-learn) and SQL, coupled with a strong theoretical grounding in statistical modeling. Experience working within regulated or high-security sectors is highly advantageous.

faculty Remote, UK, United Kingdom

(تازہ ترین نوکریاں، سلیبس اور ٹیسٹ کی تیاری کی مکمل معلومات)

Preparing

2400

Question set

150

Duration

Permanent

Focus areas

Machine LearningData AnalysisPythonDefence Applications

People Also Ask (FAQs)

What is the last date to apply for Data Scientist?

The closing date is listed in the official advertisement — apply as early as possible.

How do I apply for Data Scientist?

Use the official apply link on this page to submit your application. A step-by-step how-to-apply guide for this job is also linked below.

Is there negative marking in the faculty test?

The marking rule is announced per test in the advertisement and roll-number-slip instructions. Many MCQ screening tests have no negative marking, but always verify it for your specific test.

What is the passing marks for this test?

The official passing marks are generally 50%, but merit is competitive — scoring above 75% is a safer target to secure an interview call.

How can I prepare for the Data Scientist test?

Prepare with the free subject-wise MCQs, past papers and timed mock tests on PrepPro Academy — every question includes the answer with an explanation. Focus areas: Machine Learning, Data Analysis, Python, Defence Applications.

Quick start

Review the job summary, then jump into prep with the same flow used for exam starts.

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