Junior Data Scientist

quisition Details & Talent Acquisition Consultant

REQ 139769

Closing: 18 July 2025

Job Family

Information Technology

Career Stream

Application Development

Leadership Pipeline

Manage Self Technical

Job Purpose

Contribute to the design and prototyping of analytic engines and services with a foundational understanding of machine learning data mining and information retrieval concepts

Job Responsibilities

• Develop statistical models and algorithms through the use of libraries and abstractions
• Conducts explority data analysis
• Create value out of various datasets
• 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.
• Proficiency in a programming toolset (for e.g Python R) for data manipulation and basic data analysis tasks.
• Grow in knoweldge of latest tools and techniques with guidance from senior team members.
• Able to query and pre-process (wrangle/munge) data.
• Collaborates with senior data scientists/analysts/engineers to implement and deploy scalable solutions.
• Implement and maintain ML models and algorithms that drive innovation throughout the organization.
• Conduct self-development through researching best practices conducting experiments and collaborating with industry leaders.
• 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 positive team culture in achievement of business strategy.
• Seek opportunities to improve business processes models and systems though agile thinking.

Job Responsibilities Continue

• Develop Data Science Use Cases with a small team in an agile fashion.
• Machine learning and Model training/retraining.
• Exploratory data analysis and visualisations using large data sets.
• Acquire and load relevant data and generate features from this data sets.
• Maintain production Models as required.

Essential Qualifications - NQF Level

Preferred Qualification

• STEM Qualification
• Engineering Qualification
• Computer Science
• Econometrics
• Mathematical Statistics
• Actuary Science
• Masters or Doctorate will be an added advantage

Preferred Certifications

• Cloud (Azure AWS) DEVOPS or Data engineering certification. Any Data Science certification will be an added advantage Coursera Udemy SAS Data Scientist certification Microsoft Data Scientist.

Minimum Experience Level

MS/PhD in STEM or related technical discipline
1-3 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

Behavioural Competencies