Junior Machine Learning Developer

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