Junior Data Scientist at Nedbank

Job Purpose

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

Job Responsibilities

• 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 spesific date poibnt within the data process life cycle.

• Access and clean data and validate dataquality.

• Indentify addiiotnal 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.        

Minimum Experience Level

• Degree in computer science, statistics, or operations research or related technical discipline.

• 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.       

Essential Qualifications - NQF Level

• Matric / Grade 12 / National Senior Certificate

• Advanced Diplomas/National 1st Degrees

Preferred Qualification

Degree Computer Science, Econometrics , Mathematical Statistics.

Type of Exposure

• Data Analytics

• Mining data

Technical / Professional Knowledge

• Data Mining

• Data Tools

• Data Warehousing

Behavioural Competencies

• Planning and Organizing

• Collaborating

• Continuous Improvement

• Innovation

• Leveraging Feedback

• Applied Learning