RAKBANK
Senior Data Scientist at RAKBANK Dubai is responsible to Utilize advanced analytics and machine learning techniques to extract insights from data, drive informed decision making, and enhance business performance. The vacancy was announced by the bank on March 8, 2024.
Responsibilities of Senior Data Scientist
- This portfolio of work will deliver data driven decisions across all critical business functions such as customer engagement, marketing, retention, risk management, products and tackle hard, open ended problems.
- Data Scientist is a critical role, responsible for AI ML solution design and development. The role requires a data science enthusiast with strong analytical expertise, experience of various open source technologies such as Python (must), R (plus), Spark (plus), and SAS (plus), algorithms and big data technologies to design approaches and build analytical solutions across various business domains.
- Work with Data Science Lead to translate given business problem into analytical use cases with defined outcomes to develop, implement and test most appropriate algorithms for a given use case.
- Work closely with Business Analyst for requirement gathering/understanding and work with Data Engineers to build data pipelines and automate/production complex ML models to insights and recommendations.
- Strong conceptual understanding of machine learning algorithms including multi variate regressions, classification algorithms, time series techniques, clustering, NLP, Image Processing, and optimization models etc.
- Ensure high coding standards as well as designing standards to ensure reproducibility.
- Drive innovation by enhancing existing solutions and designing new ones and build collaboration and awareness in the bank’s analytics community.
- Work closely with various business units/stakeholders to identify and streamline the AI ML use cases.
- Deliver end to end AI ML models from development to deployment with delivery planning, communications with stakeholders.
- Ensure high coding standards, peer review, and transparency in the work with the line of reporting.
- Support ad hoc requirement in terms of MIS development, building and analyzing SAS Data Models, streamlining the reporting process through various reporting and analytical tools.
Requirements of Senior Data Scientist
- A master’s degree or higher in a relevant field such as computer science, statistics, mathematics, or data science.
- At least overall 7+ years of experience in analytics, data science or similar function and 3 – 4 years of experience in banking analytics.
- Deployment experience (various databases, server/cloud environment: AWS, Azure, and APIs, ODBCs, web apps).
Skills and Knowledge Desired
- Expert level proficiency in Python with SAS/R/Spark as plus.
- Excellent knowledge of Banking Functional Knowledge (major plus).
- Good written, oral communication, documentation skills with ability to communicate effectively with stakeholders.
- Understanding of banking products, functional knowledge is a major plus.
Job Benefits
- Pay for performance culture (Competitive and performance-linked compensation).
- Provision of medical care plan for your family and you.
- Comprehensive Life insurance plan.
- Diverse workforce and inclusive culture.
- Career development and growth opportunities by design.
- Work with the best minds in the field.
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