Data Scientist Intern - Dubai | Global Innovation Challenge

Data Scientist Intern, Internship Program 2024 - Mastercard, Dubai; Dubai Emirate; On-site; AED 16,740 - 27,900; Full time

Benefits offered by this job

Challenging projects

Networking & mentorship

Volunteer activities

Job summary

Mastercard Dubai is seeking a Data Scientist Intern to work on data-driven analytical solutions, predictive models, and visualisations that support business and client needs. You will contribute to a global innovation challenge, gain exposure to senior leaders, and participate in mentorship and team-building experiences.

Ideal candidates are penultimate masters or undergraduates graduating between Dec-2024 and Aug-2025, with a degree in Business/Management/CS/Engineering and strong English and

Qualifications

• Penultimate or undergraduate student due to graduation between Dec-2024 and Aug-2025.
• Bachelor’s degree in Business/Management/CS/Engineering/Industrial Engineering/Business Informatics/MIS with minimum predicted UK 2.1 or GPA 3.0.
• Excellent communication and interpersonal skills with analytical and problem-solving capability.

Responsibilities

• Develop data-driven analytical solutions and identify opportunities to support business and client needs; create predictive models and data visualisations.

Skills

Python

Data analysis

Machine learning

Statistics

SQL

Communication

Education

Penultimate Masters / Undergraduate student

Bachelor’s degree in Business/Management/CS/Engineering/Industrial Engineering/Business Informatics/MIS

Job description

Mastercard Dubai is seeking a Data Scientist Intern to work on data-driven analytical solutions, predictive models, and visualisations that support business and client needs. You will contribute to a global innovation challenge, gain exposure to senior leaders, and participate in mentorship and team-building experiences.

Ideal candidates are penultimate masters or undergraduates graduating between Dec-2024 and Aug-2025, with a degree in Business/Management/CS/Engineering and strong English and