BI Data Scientist

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.

• 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 (Tensor Flow, 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 clearly and concisely

• Strong understanding of statistical concepts, data modelling techniques, and experimental design principles

• 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 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)

• Business acumen

• Analytical

• Good communication skills