Data Analyst

4 weeks ago

Cape Town, Western Cape, South Africa Santam Full time

Job Summary

Santam Ltd is seeking a highly skilled Data Scientist to join its Group Underwriting division. The successful candidate will be responsible for leveraging statistical analysis, machine learning, and data modeling to drive business value by providing insights and recommendations based on data analysis.

Key Responsibilities

  • Collaborate with stakeholders to understand business challenges and advise on practical analytics solutions
  • Develop and implement statistical/mathematical/machine learning models as needed
  • Communicate results and ideas to key decision makers
  • Generate and maintain actuarial data assets and make them available to the rest of the organization
  • Develop and maintain outstanding data from the Analytical Base Table and utilize it to develop predictive models
  • Ensure automation of data assets delivered timeously
  • Use advanced analytics techniques to solve business problems in cooperation with business units
  • Seek out initiatives to enhance Santam's capability in the Data Science field

Requirements

  • Bachelor's degree in Quantitative Management (Decision Sciences) or Computer Science/Statistics/Applied Statistics/Applied Mathematics (Postgraduate preferable)
  • 5-7 years practical experience in an analytical/quantitative environment
  • Strong programming skills (SQL essential, Python and/or R highly desirable, Spark, Java)
  • Experience with common data science toolkits, such as R, Hadoop, Scala, RapidMiner, Alteryx, SAS, SPSS etc. highly desirable
  • Experience in Data integration
  • Machine learning/Artificial Intelligence and Statistical algorithm development essential
  • Experience with Big Data platforms highly desirable
  • Experience in Data management and integration such as Ralph-Kimbal dimensional modelling (Star-schema model) or Bill Inmon Snow-flaking model essential
  • Business acumen: Enterprising & commercial thinking: Keeps aware of corporate markets and the state of competitors, identifies business opportunities, views issues in terms of costs, profits, markets and added value.
  • Statistical analysis: Data scientists must have a strong foundation in statistical analysis to effectively identify patterns, trends, and relationships within data.
  • Programming: Proficiency in programming languages such as Python and R is essential for data scientists to analyse data and build predictive models.
  • Data wrangling: Data scientists must be able to gather, clean, and pre-process data to ensure its accuracy and reliability.
  • Machine learning: Knowledge of machine learning algorithms and techniques is necessary to build predictive models and make data-driven decisions.
  • Data visualization: Data scientists should have the ability to create clear and effective visualizations to communicate insights and findings to stakeholders.
  • Communication
  • Problem-solving
  • Creativity
  • Curiosity
  • Financial acumen

Competencies

  • Client Focus
  • Collaborates
  • Cultivates Innovation
  • Drives results
  • Flexible and adaptable
  • IT Data Analysis
  • Data Collection
  • Advanced analytics to address business requirements
  • New technologies and methodologies
  • Stakeholder management

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