Data Scientist-Credit Risk Modelling
Dubai, Dubai, United Arab Emirates
RAKBANK
Discover why RAKBANK is the best choice for banking in the UAE. From personal accounts, business solutions, wholesale banking and Islamic banking. We offer a range of services designed to meet your needs. Enjoy top-notch customer service,...Job Description
We are seeking a talented and experienced Data Scientist to join our growing team in Dubai, United Arab Emirates. As a Data Scientist, you will play a crucial role in extracting valuable insights from complex datasets, developing advanced analytical models, and driving data-driven decision-making across our organization.
- Collect, process, and analyze large volumes of structured and unstructured data from various sources
- Develop and implement machine learning algorithms and statistical models to solve complex business problems
- Create and maintain scalable data pipelines and ETL processes
- Design and conduct experiments to test hypotheses and evaluate model performance
- Collaborate with cross-functional teams to identify opportunities for leveraging data to drive business value
- Develop data visualizations and dashboards to communicate insights effectively to stakeholders
- Stay up-to-date with the latest advancements in data science, machine learning, and AI technologies
- Contribute to the development of best practices and standards for data science within the organization
Qualifications
- Bachelor's Degree in Data Science, Computer Science, Statistics, or related field
- Credit Risk Modelling
- Risk Analytics
- Scorecard Development
Tools: SAS, Power BI, Python, Databricks, Datarobot (must have).
- Strong proficiency in programming languages (Python, R, SQL) with expertise in machine learning algorithms and statistical analysis
- Experience with big data technologies and large-scale data processing
- Proficiency in data visualization tools and ability to communicate insights effectively to both technical and non-technical audiences
- Excellent problem-solving skills with a track record of developing and implementing machine learning models
- Understanding of industry-specific data challenges and solutions
- Ability to work efficiently in a fast-paced, collaborative environment
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Computer Science Credit risk Databricks Data pipelines DataRobot Data visualization ETL Machine Learning ML models Pipelines Power BI Python R SAS SQL Statistics Unstructured data
Perks/benefits: Career development
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