About the Job:
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The company is one of the largest banks in the Middle East, with over USD 6Bn in revenues and 14,000 employees globally. As part of its strategic mandate, the bank has established its Advanced Analytics Centre of Excellence to drive its ambitious advanced analytics agenda across the organization.
Core Objectives of the Center:
- Deliver 500-800 million AED business impact through a series of use cases and advanced analytics projects executed in collaboration with business units.
- Instill a data-driven culture across the company by building organization-wide capabilities in advanced analytics.
The Centre will enable business units to deploy advanced analytics models to drive smarter decisions across diverse domains, acting as a guide to ideate, prioritize, pilot, and productionalize ideas through cross-functional analytics squads. It consists of highly skilled data scientists, data engineers, and other digital talent integral to the execution of advanced analytics projects. The agenda is a high-visibility initiative for the company, governed at the Executive Committee level with impact tracking and performance management.
Job Purpose:
The Senior Data Scientist will scope, design, and implement machine-learning models to support use case execution with a focus on achieving overall objectives and targets. This role involves collaboration with product owners, business translators, data warehousing, and data engineering teams to create big data applications leveraging both structured and unstructured data. The role also includes the end-to-end delivery of machine-learning models, ensuring regular testing and maintenance to improve efficiency and adapt to changing business needs. Additionally, the role supports translators in communicating the design, functioning, and output of the analytical models developed and includes a mentorship component for guiding junior colleagues in their professional development.
Key Responsibilities:
- Deliver a strong roadmap of advanced analytics projects in collaboration with business units.
- Design and implement machine-learning models to support various business initiatives.
- Document artifacts and ensure successful documentation of reusable code.
- Achieve personal technical development and learning goals.
- Conduct knowledge-sharing sessions internally and externally.
- Participate in and help plan cultural initiatives for the Centre.
Education:
- University degree in a relevant field.
- Advanced degree (MS/Ph.D) in Computer Applications, Economics, Statistics, Mathematics, or a related technical discipline is desirable.
Experience:
- 6-8 years of experience in a data science role is essential.
- Validated experience in defining analytics roadmaps and leading analytics engagements.
- Experience with machine learning, statistics, optimization, or related fields.
- Proficiency in programming, specifically in R or Python.
- Experience working with large datasets and distributed computing tools (e.g., Map/Reduce, Hadoop, Hive, Spark).
Skills:
- Strong analytical and problem-solving skills.
- Experience working in agile environments with multiple stakeholders.
- Excellent communication and stakeholder management skills.
- Ability to foster an entrepreneurial spirit and curiosity within teams.
- Team player and quick learner.
Location: Dubai, United Arab Emirates (On-site)
Work Conditions: Full-time
Language Requirements: Not specified.
