Senior Predictive Analytics Scientist | Hybrid & Growth-Focused

Placements24; Centurion; Hybrid; ZAR 900,000 - 1,700,000; Full time

Benefits offered by this job

Hybrid work arrangement

Health and wellness benefits

Pension contributions

Professional development

Job summary

Placements24 is seeking a Senior Data Scientist with a specialization in Predictive Analytics in Centurion. You will build predictive models on large datasets to forecast trends, identify opportunities, and mitigate risks across business units.

You will translate analytical findings into business value and partner with leaders and engineering teams. The role requires 5-7 years of hands-on data science experience, proficiency in Python or R and SQL, and strong communication skills.

Qualifications

• Master's or PhD in Statistics, Data Science, Computer Science, Mathematics, or related field.
• 5-7 years hands-on experience in data science and predictive modeling.
• Proficiency in Python or R and SQL.
• Extensive experience with statistical modeling and ML algorithms.
• Strong data visualization skills and ability to communicate insights.

Responsibilities

• Design, develop, and deploy predictive models using statistical and ML techniques.
• Analyze large datasets to identify patterns and insights.
• Collaborate with stakeholders to define KPIs for predictive modeling.
• Prepare data and ensure data quality for modeling.
• Communicate findings clearly to technical and non-technical audiences.
• Mentor junior data scientists and share best practices.

Skills

Python

SQL

R

Data Visualization

Communication

Education

Master's or PhD in Statistics/Data Science/CS/Mathematics

Tools

scikit-learn

TensorFlow/PyTorch

Pandas/Numpy

Job description

Placements24 is seeking a Senior Data Scientist with a specialization in Predictive Analytics in Centurion. You will build predictive models on large datasets to forecast trends, identify opportunities, and mitigate risks across business units.

You will translate analytical findings into business value and partner with leaders and engineering teams. The role requires 5-7 years of hands-on data science experience, proficiency in Python or R and SQL, and strong communication skills.