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

**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.
- 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**
- Matric / Grade 12 / National Senior Certificate
- Advanced Diplomas/National 1st Degrees

**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**
- Data Mining
- Data analysis
- data/ data structures
- Presentation Skills
- Problem solving skills
- programming
- Supervised Learning
- Unsupervised Learning
- NLP
- Statistical Analysis
- Data Visualisation
- Feature Engineering/Selection
- HyperParameter Tuning
- Research and analytics
- Continous Learning
- AI Ethics and Fairness

**Behavioural Competencies**
- Planning and Organizing
- Collaborating
- Continuous Improvement
- Innovation
- Leveraging Feedback
- Applied Learning
- **_Please contact the Nedbank Recruiting Team at +27 860 555 566_