Senior Data Science Consultant - Client Analytics & ML

SAP South Africa; Richards Bay; On-site; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Competitive pay

Career growth opportunities

Dynamic work environment

Access to cutting-edge technology

Recognition and rewards

Job summary

SAP South Africa in Richards Bay invites a seasoned Data Science Consultant to drive client-focused analytics projects. You'll apply machine learning, predictive modeling and data visualization to improve business outcomes while collaborating with clients and stakeholders.

The role demands 5–7 years of experience, a bachelor’s degree in CS/Statistics, and strong communication skills. Join a global leader committed to innovation and impact.

Qualifications

• Bachelor’s degree in Computer Science, Statistics or related field.
• 5–7 years of experience in data science and analytics.
• Excellent communication and interpersonal skills.
• Ability to work with clients and stakeholders at all levels.
• Strong knowledge of ML, predictive modeling, and data visualization.
• Proficient in Python, R and SQL.

Responsibilities

• Provide expert advice and guidance on data science and analytics.
• Develop and implement tailored data science solutions for clients.
• Collaborate with clients to understand business needs and develop solutions.
• Conduct data analysis and modeling to identify trends.
• Develop and maintain databases and data systems.

Skills

Data science

Analytics

Communication

Client collaboration

Machine learning

Predictive modeling

Data visualization

Python

R

SQL

Education

Bachelor's degree in Computer Science, Statistics or related field

Master’s degree or Ph.D. preferred

Tools

Python

R

SQL

Job description

SAP South Africa in Richards Bay invites a seasoned Data Science Consultant to drive client-focused analytics projects. You'll apply machine learning, predictive modeling and data visualization to improve business outcomes while collaborating with clients and stakeholders.

The role demands 5–7 years of experience, a bachelor’s degree in CS/Statistics, and strong communication skills. Join a global leader committed to innovation and impact.