BI Data Scientist
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Job Location:
Johannesburg - South Africa
Monthly Salary:
Not Disclosed
Posted on:
22 hours ago
Vacancies:
1 Vacancy
Job Summary
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
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Bachelors degree/diploma in one of the following fields: Informatics Computer Science Statistics Mathematics or Information Technology
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Proven experience working as a data scientist or in a similar role preferably in the life and non-life insurance industry
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Proficiency in programming languages such as Python R or Java as well as in data analysis and machine learning libraries (TensorFlow PyTorch scikit-learn)
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At least 4 years working experience in the following:
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Power BI (essential)
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Azure Data Factories (essential)
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Azure Synapse Analytics (essential)
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Python / R C C# Java (critical)
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Microsoft SQL Server (critical)
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T-SQL (critical)
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Effective communication skills with the ability to collaborate with cross-functional teams and present complex ideas clearly and concisely
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Strong understanding of statistical concepts data modelling techniques and experimental design principles
Duties and Responsibilities
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Participate in the analysis design development troubleshooting and support of the reporting and analytics platform
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Analyze complex datasets to identify trends patterns and correlations
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Generate and test working hypotheses and interpret results to provide actionable insights
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Develop implement and validate machine learning algorithms and statistical models
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Build and operationalize predictive models to unearth hidden insights
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Collaborate with actuaries underwriters and other stakeholders to integrate data science solutions into existing workflows and processes
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Develop BI solutions using SQL ETL scripting business intelligence tools database programming and reporting tools on the Microsoft BI Stack
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Build scalable data pipelines and infrastructure for collecting processing and analyzing large volumes of structured and unstructured data
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Automation of recurring processes and monitoring thereof
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Must have prior experience developing business intelligence solutions in large or midsize companies
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Must be able to manage multiple tasks simultaneously and react to problems quickly
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Must have extensive experience with T-SQL
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Must be able to develop maintain review and explain predictive models
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Understanding of the financial services industry desired especially Insurance
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Experience using data visualization tools e.g. Power BI
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Excellent problem-solving skills and the ability to translate business requirements into actionable insights
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Experience with big data technologies (e.g. Hadoop Spark Kafka) and cloud platforms (e.g. AWS Azure Google Cloud Platform)
Competencies
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Business acumen
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Analytical
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Good communication skills
Key Skills
- Laboratory Experience
- Immunoassays
- Machine Learning
- Biochemistry
- Assays
- Research Experience
- Spectroscopy
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Data Analysis Skills
