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Qabas | Consulting & Training

Data Science Intern

London
Posted about 18 hours ago
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Qabas

Qabas is a premier consulting firm in North Africa, based in Tripoli, Libya, with expertise in operations, risk management, strategy, and training. Since its establishment in 1994, Qabas has served diverse industries, including aviation, energy, financial services, and government institutions. The firm also offers specialised functions such as climate and sustainability consulting, digital strategy, and capacity building. Known for its forward-thinking approach, Qabas collaborates with partners ranging from local organisations to global Fortune 500 companies, providing innovative solutions in a rapidly evolving global landscape.

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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Role Description

This is a part-time remote role for a Data Science Intern. As a Data Science Intern at Qabas, you will work on tasks such as data collection, cleaning, and preparation for analysis. You will apply statistical methods and data science techniques to extract actionable insights from datasets. Additionally, you will be responsible for creating reports, visualisations, and presentations to communicate findings effectively to internal teams or clients. You will engage in problem-solving and predictive analytics to support projects across various industries and domains.

Qualifications

  • Strong foundation in Data Science, Data Analysis, and Data Analytics
  • Proficiency with Analytical Skills and a solid understanding of Statistics
  • Experience with data manipulation and visualisation tools (e.g., Python, R, SQL, Tableau, or similar)
  • Knowledge of machine learning techniques or predictive modeling is a plus
  • Strong written and verbal communication skills for presenting data insights
  • Ability to work effectively in a remote, collaborative environment
  • Currently pursuing or recently completed a degree in Data Science, Statistics, Computer Science, or a related field

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Location

London, England, United Kingdom

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