Data Scientist (Business Intelligence)

In order to be considered the following is required:

• Bachelor’s degree/ diploma in one of the following fields: Informatics, Computer Science, Statistics, Mathematics or Information Technology
• Proven experience working as a data scientist or in a similar role, preferably in the life and non-life insurance industry. Proficiency in programming languages such as Python, R or Java, as well as in data analysis and machine learning libraries (TensorFlow, PyTorch, scikit-learn)
• At least 4 years working experience in the following:

1. Power BI (Essential)
2. Azure Data Factories (Essential)
3. Azure Synapse Analytics (Essential)
4. Python / R, C++, C#, Java (Critical)
5. Microsoft SQL Server (Critical)
6. T-SQL (Critical)

• Strong understanding of statistical concepts, data modelling techniques and experimental design principles
• Must have prior experience developing business intelligence solutions in large or midsize companies
• Must be able to manage multiple tasks simultaneously and react to problems quickly
• Must have extensive experience with T-SQL
• Must be able to develop, maintain, review, and explain predictive models
• Understanding of the financial services industry desired, especially Insurance
• Experience using data visualization tools, e.g., Power BI
• Excellent problem-solving skills and the ability to translate business requirements into actionable insights.
• Experience with big data technologies (e.g. Hadoop, Spark, Kafka) and Cloud Platforms (e.g., AWS, Azure, Google Cloud Platform)

Responsibilities:

• Participate in the analysis, design, development, troubleshooting and support of the reporting and analytics platform
• Analyze complex datasets to identify trends, patterns and correlations
• Generate and test working hypotheses and interpret results to provide actionable insights
• Develop, implement and validate machine learning algorithms and statistical models
• Build and operationalize predictive models to unearth hidden insights
• Collaborate with actuaries, underwriters and other stakeholders to integrate data science solutions into existing workflows and processes
• Develop BI solutions using SQL, ETL scripting, business intelligence tools, database programming and reporting tools on the Microsoft BI Stack
• Build scalable data pipelines and infrastructure for collecting, processing, and analyzing large volumes of structured and unstructured data
• Automation of recurring processes and the monitoring thereof

If you would like to email your CV directly – please send it to