Junior Machine Learning Developer 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.        

People Specification

Essential Qualifications - NQF Level

• Matric / Grade 12 / National Senior Certificate
• Advanced Diplomas/National 1st Degrees

Preferred Qualification

Degree Computer Science, Econometrics , Mathematical Statistics.

Essential Certifications

Preferred Certifications

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.       

Technical / Professional Knowledge

• Data Mining
• Data Tools
• Data Warehousing

Behavioural Competencies

• Planning and Organizing
• Collaborating
• Continuous Improvement
• Innovation
• Leveraging Feedback
• Applied Learning