Job Description

Introduction

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.

Disclaimer

As an applicant, please verify the legitimacy of this job advert on our company career page.

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