Data Scientist
AI in this role
Design, implement, and productionize machine learning models to drive advanced analytics initiatives across business units.
Organization Unit Purpose
Emirates NBD is one of the largest banks in the Middle East, with over USD 6Bn in revenues and 14000 employees globally. As part of its strategic mandate, the bank has recently setup its Advanced Analytics Centre of Excellence for driving ENBD’s ambitious advanced analytics agenda across ENBD.
Core objectives of the center include:
- Deliver 500-800 Mn AED business impact through a series of use cases/ AA projects executed in collaboration with the BU’s
- Instill a data driven culture across ENBD by building organization wide capabilities in advanced analytics
The CoE will act as an enabler to the BUs to deploy advanced analytics models to drive smarter decisions across different domains. It will act as a guiding light to BUs to ideate on what’s possible with advanced analytics, help them prioritize these ideas, and pilot and productionalize them through cross-functional AA squads.
It will house highly skilled data scientists, data engineers and other digital talent that will be an integral part of cross-functional squads that execute AA projects.
The AA agenda is a high visibility and high priority initiative for ENBD. AA CoE will be governed at ExCo level, including impact tracking, a ringfenced budget & performance management
Job Purpose
• The data scientist scopes, designs, and implements machine-learning models to support use case execution with a view of achieving overall objectives and targets
• The role is highly collaborative and works with product owners, business translator, data warehousing and data engineering teams in creating big data applications through the utilization of structured and unstructured data, designing optimal data architecture, and experimenting on new machine learning techniques
• The data scientist is expected to take charge of end to end delivery of machine learning models including regularly testing and maintain analytical models to improve efficiency and keep up with changing business needs
• The role supports Translators in communicating the design, functioning and output of the analytical models/solutions developed
• The data scientist additionally plays a mentorship role to others in the team, guiding junior colleagues in execution of their duties, and mentoring them in their professional growth
Job Content
Deliver a strong roadmap of AA projects in collaboration with Business Units
Designs and implement machine-learning models to support the business’s numerous initiatives and programs with a view of achieving overall objectives and targets
Artefact documentation
Successful documentation of reusable code
Development and learning
Achieve personal technical development and learning goals
Collaboration and knowledge share
Conduct knowledge sharing sessions internally within the CoE as well as externally in meetups, conferences etc
Participates in and helps plan cultural initiatives for CoE
Education
University degree
Advanced degree (MS/Ph.D) in Computer Applications, Economics, Statistics or Mathematics or related technical discipline with high analytical rigor is desirable
Experiences
6-8 years of experience in a data science role is essential
Knowledge & Skills
Validated experience of defining analytics road map and leading analytics engagements
Should have experience in machine learning, statistics, optimization or related fields
Experience with programming is a must; specifically experience in R or Python
Experience of working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, etc.) is essential
Strong analytical and problem-solving skills
Worked in agile environments with multiple stakeholders from the business
Behavioral Competencies
Practical and action oriented
Compelling communicator
Excellent stakeholder management
Foster and promote entrepreneurial spirit and curiosity amongst team members
Team player
Quick learner
There’s never been a better time to join Emirates NBD.
We’re one of the region’s most recognizable brands. We’re banking innovation leaders. We’re growing across both the UAE and our global offices. We offer a huge range of professional development opportunities to accelerate your career. It also goes without saying that we provide extremely competitive rewards, benefits and perks too, like our flexible work policy so you can work from home whenever it suits.
At ENBD, we encourage interested candidates to review the key responsibilities and qualifications for each role and apply for positions that match their skills and capabilities.
#LI-KB1
How we rate this
Data Scientist at Emirates NBD rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
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Skills and AI tools this role asks for
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- Tell me about a project where machine learning was part of your work. What did you do?
- Tell me about a project where data science was part of your work. What did you do?
- Tell me about a project where big data was part of your work. What did you do?
- Tell me about a project where model deployment was part of your work. What did you do?
- Walk me through how you've used Python in your day-to-day work.
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- List these exact terms on your resume: Machine Learning, Data Science, Big Data, Model Deployment, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.
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