Data Scientist

Posted Yesterday
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2 Locations
In-Office or Remote
Mid level
Software
The Role
Build and deploy AI/ML and statistical models for payments and banking clients, deliver analytics consulting engagements, convert insights into reports, support product development and presales, and develop predictive models for risk and marketing using regression, decision trees, clustering and other techniques.
Summary Generated by Built In

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's:

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:

The Darta Scientist will support the delivery of a range of contracted consulting and analytical engagements, such as revenue optimization, authorization consulting, portfolio health-checks, real time data streaming, risk management capabilities, etc. for our processing clients, merchant, and government entities.

Key Responsibilities:

  • Development and partnerships for key product capabilities using authorization, transactional, repayments and account demographic data, such as the next best action recommendation tool for processing clients.
  • Leverage data lake to develop AI/ML based products that could add value to processing clients and generate revenue for NI as processor.
  • Deliver top-class analytics consulting solutions to clients in line with the agreed deliverables/SOW’s. Manage deliveries across cost, quality, and time spectrums.
  • Convert the analytical outputs into delivery reports or collateral with world-class storyboarding.
  • Additionally, support the wider team Advisory and Information Services team as required with product development, pre-sales and sales support relating to analytical solutions, including client presentations, solution design, proposal development including costings and Letters of Engagement.
  • Develop advanced predictive models across a range of outcomes (risk/Marketing etc.) using various techniques, to include, but not limited to Logistic/Linear regression, Decision Trees and Machine Learning techniques.

Key Requirements:

  • Master's degree in any quantitative discipline or MBA. Candidates from Statistics or Operations Research background will be preferred. 
  • Previous work experience of 1-4 years in Analytics team (preferably in Payments/ retail banking industry), with strong business acumen and ability to translate data insights into meaningful business recommendations.
  • Strong drive and passion to work in a start-up kind of environment and deliver business impact in Payments through advance analytics.
  • Expertise in analytical tools such as SAS/R/SQL/ and Qlik/Tableau/Power-BI.
  • Working knowledge in analytical techniques such as Linear Regression, Logistic Regression, Cluster analysis, Market Basket analysis, etc. (good to have for the role).
  • Excellent verbal and written presentation skills.
  • Proven experience in delivering analytical solutions within mid to large-size project teams, and working in on-shore & off-shore environment.

Network International is an equal opportunity employer. We welcome and encourage applications from candidates of all backgrounds, nationalities, and experience levels. We are committed to creating an inclusive workplace where innovation, diversity, and performance thrive.

Skills Required

  • Master's degree in a quantitative discipline or MBA
  • Preference for Statistics or Operations Research background
  • 1-4 years' experience in an analytics team
  • Experience in Payments or retail banking (preferred)
  • Expertise in SAS, R, and SQL
  • Expertise in Qlik, Tableau, or Power BI
  • Working knowledge of analytical techniques (Linear/Logistic Regression, Clustering, Market Basket Analysis)
  • Excellent verbal and written presentation skills
  • Proven experience delivering analytical solutions in mid to large project teams and working with on-shore/off-shore teams
  • Strong drive and ability to work in a fast-paced/startup-like environment
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The Company
HQ: Austin, TX
8,275 Employees
Year Founded: 1976

What We Do

At NI, we Engineer Ambitiously. We celebrate creative problem solving. And we take our customer relationships to heart. We believe in the power and potential of making connections—between people, ideas, and technology. In fact, connection is central to everything we do. We constantly challenge ourselves to find those connections because that’s what creates a path forward. This means bringing the right people together to build solutions that make a difference. It means combining fresh perspectives with new technologies to turn your vision into reality. For more than four decades, we’ve set the standard in automated test and automated measurement systems. We’re proud to partner with the talented engineers and enterprises using our systems to solve the world’s most pressing technology challenges and build better businesses. From data and automation to research and validation, our tailored, software-connected approach is rooted in helping you engineer what’s next. As your trusted partner, we’re committed to helping you set your goals higher and reach them sooner. We’re here for you, for each other, and for the next generation of innovators who think bigger, aim higher, and go faster. Let’s Engineer Ambitiously.

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