BI Data Scientist
Full-time
ATS Client
About the job 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. Requirements
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 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
Vacancy posted 7 days ago
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