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Data Scientist Job Vacancy Data Science and Analytics

Remote / Online - Candidates ideally in
Durban, 3611, South Africa
Listing for: SAP South Africa
Full Time, Remote/Work from Home position
Listed on 2026-08-23
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Scientist, Machine Learning/ ML Engineer
Job Description & How to Apply Below

Position:
Data Scientist

Company: SAP South Africa

Location:

Durban, South Africa

Experience:

8-12 years

Education:

Master’s degree in Data Science or related field

Employment Type:

Full-time

Industry: Data Science and Analytics

Department:
Data Science

Salary: R120,000 – R180,000 per annum

Vacancies:1

Company Overview

SAP South Africa is a leading provider of enterprise software solutions, and we are seeking a highly skilled Data Scientist to join our team in Durban. As a Data Scientist, you will be responsible for developing and implementing advanced data analytics solutions to drive business growth and improve operational efficiency.

Our company is committed to innovation and excellence, and we offer a dynamic and supportive work environment that encourages collaboration and professional growth. If you are a motivated and results-driven individual with a passion for data science, we encourage you to apply for this exciting opportunity.

Job Overview

As a Data Scientist at SAP South Africa, you will be responsible for:

  • Developing and implementing advanced data analytics solutions to drive business growth and improve operational efficiency
  • Collaborating with cross-functional teams to identify business needs and develop data-driven solutions
  • Designing and implementing data visualizations and reports to communicate insights to stakeholders
  • Staying up-to-date with industry trends and emerging technologies in data science and analytics
  • Providing data science expertise to support business decision-making and strategy development
Key Responsibilities
  • Developing and implementing advanced data analytics solutions using machine learning, deep learning, and statistical modeling techniques
  • Collaborating with cross-functional teams to identify business needs and develop data-driven solutions
  • Designing and implementing data visualizations and reports to communicate insights to stakeholders
  • Staying up-to-date with industry trends and emerging technologies in data science and analytics
  • Providing data science expertise to support business decision-making and strategy development
Required Skills
  • Master’s degree in Data Science or related field
  • 8-12 years of experience in data science and analytics
  • Strong programming skills in Python, R, or SQL
  • Experience with machine learning and deep learning techniques
  • Strong data visualization skills using Tableau, Power BI, or D3.js
  • Excellent communication and collaboration skills
Education

Masters degree in Data Science or related field

Experience

8-12 years of experience in data science and analytics

Salary

R120,000 – R180,000 per annum

Benefits
  • Competitive salary and benefits package
  • Opportunities for professional growth and development
  • Collaborative and dynamic work environment
  • Access to cutting-edge technology and tools
  • Flexible working hours and remote work options
Training
  • Regular training and development opportunities
  • Access to online courses and training platforms
  • Opportunities for mentorship and coaching
  • Collaborative and supportive work environment
Working Environment

Our company is committed to creating a positive and inclusive work environment that supports the well-being and success of our employees. We offer a dynamic and collaborative work environment that encourages creativity, innovation, and professional growth.

Equal Opportunity Statement

SAP South Africa is an equal opportunities employer and welcomes applications from diverse candidates. We are committed to creating a workplace that is inclusive, respectful, and supportive of all employees, regardless of their background, culture, or identity.

Learn more about our company culture and values at

Discover the latest trends and insights in data science and analytics at

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