Data Scientist

Data Science

  • AvailabilityPermanent
  • Experience7+ Years
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Data Scientist

Data ScienceGauteng

A leader in the Insurance space, based in Johannesburg, is seeking a Data Scientist with their Health Risk Intelligence unit to provide excellence in clinical analysis through an integrated and multidisciplinary approach. We use cutting edge hardware, software and clinical grouper algorithms for data exploration, modelling (actuarial and statistical) and predictive analytics to glean actionable insights. 

Responsibilities:

  • Connecting with a multitude of stakeholders to understand the data in a healthcare context
  • Mining large structured and unstructured datasets to find new insights to inform healthcare efficiency and interaction strategies
  • Research and application of the most up to date machine learning algorithms and AI techniques
  • Present data and model findings in a way that provides actionable insights
  • Implementing results for use in both the internal and external environments
  • Monitoring model performance
  • Improve processes and databases where opportunities arise

Requirements:

  • Expert in data science programming languages such as R, Python, Scala
  • Expert in data manipulation skills including SQL to extract, transform and load data
  • Experience in interactive data exploration and data-driven story telling
  • Understanding and application of Big Data and distributed computing principles (Hadoop and MapReduce)
  • Hands on experience with Big Data systems will be preferred
  • Strong analytical and statistical knowledge with an understanding of the latest machine learning algorithms for both structured and unstructured data
  • Ability to formulate problem statements and develop a plan for tackling the problem
  • Strong ability to communicate findings and recommendations from data (visual, verbal and written)
  • Production environment machine learning and AI
  • Experience with Google Tensor flow is preferred
  • Experience in sourcing and combining data from both structured and unstructured sources
  • Experience in a statistical modelling tool (SPSS modeller (preferred), SAS)

Qualifications

  • Honours or Master’s degree in either Data Science, Statistics, or Applied Mathematics with some experience in software engineering, computer science or working with big disparate sets of data, OR
  • Honours or Master’s degree in Computer Science or Software Engineering with solid experience in statistical modelling, data mining and machine learning
  • Other analytical qualifications will also be considered if accompanied by the relevant experience.

 

Skills
  • Data Scientist
  • R Language
  • SPSS
  • SAS
  • SQL
  • AI
  • Scala
  • Statistical Modelling
  • Big Data
Requirements
  • Education Tertiary Degree
  • Experience 7+ Years

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