Data Scientist

2 weeks ago

Centurion, Gauteng, South Africa Yazoo Recruitment Specialists Full time

Data Scientist with relevant Degree/post graduate qualification and minimum 4 years' experience in data science and minimum 2 years' data analysis experience, preferably in the insurance industry, required to create and deliver data driven solutions through the use of statistical models, machine learning algorithms, data mining and visualisation techniques.


Minimum requirements:

  • Degree in Computer Science, Computer Engineering, Actuarial Science, Statistics, Business Science, Mathematics
  • Other degrees or postgraduate qualifications with a statistical/modelling aspect and/or experience will be considered
  • A minimum of 4 years relevant experience in data science
  • Proficiency in programming languages such as SQL and Python
  • Indepth knowledge of machine learning modelling libraries (e.g., scikitlearn, PyTorch, Tensorflow)
  • Experience with deep learning and natural language processing will be advantageous
  • 25 years' data analysis experience within an insurance environment
  • Familiarity with visualisation tools (e.g. Tableau, PowerBI, Plotly)
  • Experience in designing and building production systems in AWS, Google Cloud, or Azure
  • Exposure to continuous integration/continuous deployment (CI/CD)
  • Familiarity with version control systems (e.g., Git or AWS Commit)
  • Experience in the shortterm insurance industry will be advantageous
  • Deep theoretical understanding of statistical methods and machine learning techniques
  • Understanding of Artificial Intelligence solutions and techniques
  • Formulating business problems to enable statistical modelling
  • Selecting the right statistical tools and techniques for the job
  • Experience translating statistical findings into business recommendations
  • Provide insights using visualisation tools (e.g. Tableau, PowerBI, Plotly)

Responsibilities:

  • Identify and develop predictive and prescriptive models to enable better decision making of business.
  • Identify, understand and interpret data structures across various databases within the business to facilitate data analysis and continuous monitoring of activities.
  • Delve for insights in data and processes to help improve the business.
  • Participate and/or lead discovery processes with business stakeholders to identify problems and opportunities that may be addressed with statistical modelling or machine learning.
  • Identify and develop the hypothesis testing framework and modelling approach to address the business requirements.
  • Make strategic recommendations on data collection and experimental design incorporating business requirements and knowledge of best practices.
  • Prepare the data for analysis and modelling, which includes data cleaning, standardisation, transformation, dimension reduction and feature engineering.
  • Identify and train suitable models/algorithms to discover patterns and make predictions.
  • Extend existing code and develop custom code to implement statistical models, machine learning algorithms and data mining techniques for large datasets in a computationally efficient manner.
  • Compare model performance, select the best algorithm and be able to motivate this choice in a nontechnical manner.
  • Interpret results and translate findings into clear and actionable insights that can be easily validated with the project sponsor.
  • Communicate findings to business with various skill levels and in various roles, presenting trends, correlations and patterns found in complicated datasets in a manner that clearly and concisely conveys meaningful insights.
  • Assist business users in the use of the models and interpretation of model output.
  • Deploy ML models to production on cloud platforms such as AWS, Google Cloud, or Azure.
  • Assist with monitoring and reporting on model accuracy after it has been embedded in operations.
Recognising that diversity is key to excellence, our client especially encourages members of designated groups to apply.

  • That you have read and understood our POPI Policy.
  • That you have no objection to us retaining your personal information in our database for future matching and will notify us in writing should you wish to remove your personal information from our database.
  • Should suitable opportunities arise we will contact you and request your consent to submit your CV to a specific client for a specific purpose.
  • That the information you have provided to us is true, correct and up to date.

Job Types:
Full-time, Permanent

Ability to commute/relocate:

  • Centurion, Gauteng: Reliably commute or planning to relocate before starting work (required)

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