Data Scientist

Job Classification

Job Family

Information Technology

Career Stream

Application Development

Leadership Pipeline

Manage Self Technical

FAIS Affected

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

People Specification

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

Essential Certifications

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

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Please contact the Nedbank Recruiting Team at +27 860 555 566