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The Data Scientist analyzes data and builds predictive models to guide business decisions, developing and deploying machine learning for customer retention, lead generation, cross-selling, and fraud detection.
This Senior Data Scientist role in the automotive sector focuses on designing, developing and deploying machine learning models on Azure platforms
The Data Analyst role is integral to the Healthcare department of a large organization, requiring a deep understanding of analytics, data interpretation, and presentation of insights.
The Data Engineer will play a crucial role in developing and managing data pipelines, ensuring data is accessible, reliable, and optimized for analytics in the financial services industry.
The BI Developer will play a key role in the Transport & Distribution industry by designing and implementing business intelligence solutions to support data-driven decision-making. This role requires technical expertise in Qlik Sense and SQL with a focus on delivering impactful insights through advanced analytics and reporting.
This role focuses on developing and managing data engineering solutions, data platforms, and visualizations using Azure and related tools.
To facilitate the transition of hyper-personalization use cases into production, collaboration with both the Business as Usual (BAU) team and the compliance team, ensuring strict adherence to the institutions established standards for models and data pipelines.
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