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Data Scientist at Network International
Dubai, Dubai, United Arab Emirates -
Full Time

Start Date

Immediate

Expiry Date

22 Sep, 26

Salary

0.0

Posted On

24 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Analysis, Statistical Modeling, Machine Learning, Python, Power BI, Excel, Data Cleaning, Project Management, Agile Methodologies, Jira, Stakeholder Management, PMO Frameworks, Governance Standards, Analytical Thinking, Problem Solving, Time Management

Industry

IT Services and IT Consulting

Description
About Us: Network International is the largest Financial Technology company in Middle East and Africa. Payments is our core business where we provide services in more than 50 countries – UAE, Jordan, South Africa, Egypt are some of our key markets. Apart from payments, we provide services on Data and Insights, Lending, Insurance, Risk Solutions, etc. Our core customers are businesses at every scale and segment, though recently we are growing in direct to consumer card segment as well. Our EVP: At Network International, we always stay ahead. . In the fast-paced world of financial services, we thrive on innovation, agility, and purposeful collaboration. We invest  first in our people, empowering you to make bold decisions, learn fast, and grow your expertise alongside industry leaders. Here, solving complex problems means more than using cutting-edge technology; it’s about creating meaningful value for our customers, together. We foster a culture where trust, accountability, and achievement go hand in hand—because success isn’t just a goal; it’s how we work, every day, as one team. About The Role: To drive data-driven decision-making and business performance by leveraging advanced analytics, machine learning, and data visualization, while ensuring effective end-to-end project management, stakeholder alignment, and adherence to governance standards.
Responsibilities
Drive data-driven decision-making and business performance using advanced analytics, machine learning, and data visualization. Manage end-to-end projects while ensuring stakeholder alignment and adherence to governance standards.