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Entry-Level Data Scientist

The Programme 

To design, prototype, and build next-generation analytic engines and services by applying strong expertise in matching learning , data mining and information retrieval.   

What You Will Do 

  • Develop statistical models and algorithms through the  use of libraries and abstractions. 
  • Conducts explority data analysis. 
  • Create value out of enterprise wide data. 
  • Provide insights to BI and BA to further exploit and present their models. 
  • Apply advanced analytical techniques such as machine learning and artificial intelligence in order to derive business value. 
  • Conduct data discovery for inclusion in models. 
  • Keep abreast with latest tools and techniques. 
  • Focus on specific date point within the data process life cycle. 
  • Access and clean data and validate data quality. 
  • Identify additional data sources. 
  • Collaborates with model developers to implement and deploy scalable solutions.   
  • Implement and maintain complex models and algorithms that drive innovation throughout the organization. 
  • Ensure improvement of on-time performance and network planning. 
  • Conduct self-development through  researching best practices, conducting experiments, and collaborating with industry leaders. 
  • Work with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, etc.). 
  • Monitor and maintain models in production and re -train if necessary.          
  • Support the achievement of the  business strategy, objectives and values. 
  • Stay abreast of developments in field of expertise. 
  • Ensure personal growth and enable effectiveness in performance of roles and responsibilities. 
  • Contribute to the Nedbank Culture building initiatives (e.g. staff surveys etc.). 
  • Participate and support corporate responsibility initiatives for the achievement of business strategy.
  • Seek opportunities to improve business processes, models and systems though agile thinking.    

Required Skills and Abilities 

  • Degree in Computer Science, Statistics, or Operations Research or related technical discipline. 
  • Advanced Diplomas/National 1st Degrees. 
  • Matric/Grade 12. 
  • 0-3 years’ experience in a statistical and/or data science role. 
  • Cursory  knowledge of machine learning, statistics, optimization or related field. 
  • Experience with R, Python, Matlab is required, programming in C, C++, Java. 
  • Experience working with large data sets, simulation/ optimization and distributed computing tools (Map/Reduce, Hadoop, Hive, Spark, Gurobi, Arena, etc.). 
  • Excellent written and verbal communication skills along with strong desire to work in cross functional teams. 
  • Attitude to thrive in a fun, agile start-up like environment.      
     
     
Closed 4 days ago
Closed 4 days ago
  • Job type:Graduate Jobs
  • Disciplines:

    Computer Science, Mathematics, Operations, Research and

    ...
  • Citizenships:

  • Locations:

    Johannesburg (South Africa)

  • Closing Date:15th Jan 2022, 6:00 pm

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