Data Scientist (Business Intelligence) at Guardrisk

Role Purpose

• As a data scientist, you will play a key role in leveraging data to drive insights, inform decision-making, and enhance our life and non-life insurance operations. You will work closely with cross-functional teams to develop innovative data-driven solutions that address business challenges and improve overall performance. 

Requirements

• Bachelors 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:
• Power BI (essential)
• Azure Data Factories (essential)
• Azure Synapse Analytics (essential)
• Python / R, C++, C#, Java (critical)
• Microsoft SQL Server (critical)
• T-SQL (critical)
• Effective communication skills, with the ability to collaborate with cross-functional teams and present complex ideas in a clear and concise manner
• Strong understanding of statistical concepts, data modeling techniques, and experimental design principles

Duties & 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
• 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)

Competencies

• Business acumen 
• Analytical 
• Good communication skills