| Job Location | Riyadh, Saudi Arabia |
| Education | Graduate; Engineering Graduates/PG |
| Salary | Not Mentioned |
| Industry | IT - Software |
| Functional Area | Not Mentioned |
Data Analytics/ScientistJob Location: Riyadh, Saudi ArabiaExperience: 8 years relevantHiring a highly skilled Data Scientist to join dynamic team and contribute to the optimization of our bank operations. The ideal candidate will possess a strong foundation in data science, statistical analysis, and data visualization, coupled with a deep understanding of banking operations.Key Responsibilities:Data Analysis and Insights:•Analyze large and complex datasets to identify trends, patterns, and anomalies that impact operational efficiency and risk.•Utilize statistical techniques and machine learning algorithms to uncover actionable insights.KPI Definition and Measurement:•Define and measure key performance indicators (KPIs) that align with the bank’s strategic objectives.•Collaborate with business stakeholders to identify critical metrics and establish clear performance targets.•Develop data-driven methodologies to track and monitor KPIs over time.Dashboard Design and Development:•Design and develop interactive dashboards using industry-leading tools like Tableau to visualize key performance indicators (KPIs) and operational metrics.•Ensure dashboards are user-friendly, visually appealing, and provide clear insights.•Continuously monitor and optimize dashboards to ensure data accuracy and relevancy.ETL and Data Engineering:•Develop and maintain efficient ETL processes to extract, transform, and load data from various sources into a data warehouse or data lake.•Ensure data quality and consistency throughout the data pipeline.•Collaborate with data engineers to optimize data ingestion and storage strategies.Model Development and Deployment:•Develop and deploy predictive models to forecast trends, identify risks, and optimize decision-making processes.•Evaluate model performance and continuously refine models to improve accuracy and predictive power.•Collaborate with IT teams to deploy models into production environments.Required Skills and Qualifications:•Advanced degree in Data Science, Statistics, Computer Science, or a related field.•Strong proficiency in Python, including libraries like Pandas, NumPy, Scikit-learn, and TensorFlow.•Expertise in data visualization tools such as Tableau.•Experience with ETL tools and data warehousing concepts.•Strong problem-solving and analytical skills.•Excellent communication and presentation skills, including the ability to effectively communicate complex technical concepts to both technical and non-technical audiences.•Experience in defining and measuring KPIs in a banking or financial context.•Experience in the banking or financial industry is preferred.
Keyskills :
Information Technology Software Data Analytics Scientist ETL Tools Data Warehousing Good Communication Skills
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