Data Scientist – Advanced Analytics & Predictive Modelling

Pathfinders Consulting Pty (LTD); Sandton; On-site; ZAR 500,000 - 800,000; Full time

Job summary

A leading consulting firm is seeking a Data Scientist to derive actionable insights from data. You will conduct statistical analyses, utilize advanced techniques such as machine learning, and engage with internal and external stakeholders. The role offers competitive salary, hybrid work options, and opportunities for professional development.

Benefits

Competitive salary and performance-based incentives

Flexible work options – hybrid

Continuous learning opportunities

Qualifications

• 3-5 years of experience in data science or data warehousing.
• Proficiency in Python, SQL, and R required.
• Familiarity with insurance data principles is a plus.

Responsibilities

• Derive business value from data through sophisticated analysis.
• Clean and prepare data using data wrangling techniques.
• Conduct in-depth statistical and mathematical analysis.

Skills

Data Wrangling

Statistical Analysis

Data Visualization

Machine Learning

Python

SQL

R

Education

Bachelor’s degree in science or engineering

Tools

Power BI

Spark

Azure

Job description

The primary purpose of this role is to derive business value from data. As a Data Scientist, you will proactively fetch, analyze, and store information from multiple sources. Your work will involve performing sophisticated statistical analysis, creating actionable insights, and communicating findings effectively across both technical and non-technical teams.

This role involves:

• Expanding internal or external database structures.
  

• Using advanced analytics techniques (including machine learning where applicable).
  

• Communicating results and methodologies to internal stakeholders and possibly external clients.
  

  
  

Core Responsibilities

• Clean and prepare data using data wrangling techniques.
  

• Conduct in-depth statistical and mathematical analysis.
  

• Use Python, SQL, and R for data modelling and predictive analysis.
  

• Apply data visualisation tools (e.g., Power BI) to share insights.
  

• Store and manage structured data in appropriate environments (internal/cloud-based).
  

• Ensure data version control and auditing.
  

• Validate data from multiple sources, including files, databases, and online platforms.
  

• Perform geospatial analysis and business requirement documentation.
  

• Understand and model insurance-related processes and reinsurance treaties (if relevant to project).
  

  
  
  
  

Requirements

· Bachelor’s degree in a science or engineering field with a strong focus on computer science, statistics, mathematics, or actuarial sciences.

· Proficiency in Python, SQL, and R is essential.

· Experience with data modelling, cloud/web infrastructure, and software infrastructure building.

· Familiarity with version control and regulatory standards for personal data.

· 3-5 years in a data science, data warehousing, or modelling environment.

· Familiarity with insurance industry data and actuarial principles is a plus.

· Spark, Azure, and web deployment experience are advantageous.

Technical Stack

• Languages: Python, SQL, R (beneficial: C#, C++, .Net, JavaScript)
  
• Tools: Power BI, Spark, Azure
  
• Practices: Data validation, version control, statistical modelling, web app deployment
  

Benefits

What’s on Offer

• Work with a dynamic and forward-thinking organization committed to innovation.
  
• Competitive salary and performance-based incentives.
  
• Flexible work options – hybrid
  
• Continuous learning opportunities and professional development support.
  
  

If you're ready to join a team where data drives impact and innovation, submit your application now. Be part of something that matters.