Live opening · Posted 5 days ago

Data Science Internship

Qabas | Consulting & Training · London Area, United Kingdom (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 5 days ago
CompanyQabas | Consulting & Training
LocationLondon Area, United Kingdom (Remote)
Work modeYes
SourceLinkedin
Listed5 days ago

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About the role

Description supplied by the original job listing.

Qabas is a leading consulting firm based in Tripoli, Libya, serving North Africa with expertise in operations, risk, strategy, and training. Founded in 1994, the company supports a wide range of industries, including aviation, financial services, health, and consumer goods. Additionally, Qabas specialises in areas like sustainability, regulatory compliance, digital transformation, and risk management. With partnerships spanning from local enterprises to Fortune 500 corporations, Qabas is committed to delivering innovative solutions in an ever-evolving global market.
Role Description
This is a part-time remote internship role for a Data Science Intern. The intern will assist in conducting data analysis, developing data-driven insights, and supporting ongoing projects involving statistics and data science methodologies. Additional responsibilities include preparing reports, performing research, and contributing to analytical models to solve business challenges for diverse clients across various industries.
Qualifications
Strong proficiency in Data Science and Data Analytics techniques and tools
Knowledge and application of Statistics in data analysis
Demonstrated Analytical Skills to derive actionable insights from data
Basic understanding or experience in Data Analysis
Strong problem-solving and critical-thinking abilities
Familiarity with programming languages and software tools used for data analysis, such as Python, R, or SQL (preferred)
Excellent communication and collaboration skills in remote work settings
Currently pursuing or recently completed a degree in Data Science, Statistics, Computer Science, or a related field
Please kindly note this position is unpaid and requires a maximum commitment of 10h/week.

Work arrangement
Yes

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