Data Science and Analytics Lead

Be among the first applicants.

Titc

Dubai

AED 120,000 - 180,000

Be among the first applicants.

3 days ago

Job description

We represent a technology player whose digital banking platform is transforming financial services in emerging markets making a real impact by embedding credit and savings products into the digital channels people use every day. Their data-driven technology powers MNOs, fintechs, and banks enabling them to scale fast and drive financial inclusion for millions. For those looking to work on cutting-edge financial tech with real-world impact, this is the opportunity for you. With rapid growth, industry recognition, and a team that thrives on innovation, this is a chance to shape the future of finance in high-growth markets across Africa.
Job Description:
The Data Science and Analytics Lead will enhance their credit risk modelling, predictive analytics, and operational efficiency. Improve multi-source data integration, strengthening model governance, automating data processes, and scaling our infrastructure for faster decision-making and market expansion. The Data Science and Analytics Lead will drive data-driven insights, refine risk models, and build scalable solutions that optimize lending decisions and business growth.
Your daily adventures include:
Strategic Leadership & Business Impact

Drive the development of the data science strategy to support business growth, embedded finance, and new market expansion.
Leverage AI and behavioral science insights to enhance credit performance, customer engagement, and savings adoption.
Partner with product, risk, and engineering teams to integrate data science into decision-making and operational processes.

Model Development & AI Governance

Build, refine, and deploy AI-powered credit scoring models ensuring high performance, fairness, and explainability.
Lead experimentation and A/B testing initiatives to enhance underwriting, portfolio management, and product innovation.

Data Infrastructure & Scalability

Collaborate with Engineering to expand data science capabilities to support multiple markets, optimizing for scalability and adaptability.
Ensure data integrity, security, and compliance across all data science initiatives.

Team Leadership & Development

Drive best practices in model development, MLOps, and responsible AI.
Promote cross-functional collaboration to maximize the value of data science across the organization.

Requirements
What it takes to succeed:
Strong background in data science, machine learning, and AI with experience in credit risk modelling and financial services.
Deep understanding of AI governance, model transparency, and regulatory compliance in financial services.
Hands-on experience with MLOps, model deployment, and automated monitoring solutions.
Strong analytical mindset with a proven ability to drive business impact through data science.
Excellent leadership skills with the ability to mentor and build high-performing teams.
Bachelor's degree in a quantitative field such as Statistics, Mathematics, Physics, Computer Science, Data Science, Engineering, Economics, Financial Engineering, Actuarial Science, or a related discipline.
Experience in fintech, digital lending, or embedded finance is preferred.
Exposure to cloud platforms such as AWS, GCP, or Azure for data engineering and machine learning is beneficial.
Familiarity with graph analytics, network science, or behavioral data modelling is beneficial.
Knowledge of causal inference techniques and advanced experimentation methodologies is beneficial.
Prior experience in expanding data science functions into new markets is beneficial.