Strategic Data Scientist — Insurance Analytics & Modelling

Boardroom Appointments; Sandton; On-site; ZAR 900,000 - 1,200,000; Full time

Job summary

Boardroom Appointments is seeking a data analytics professional to derive business value from data through systematic analysis and interpretation. You will source data from multiple suppliers, perform advanced statistical work, and communicate strategic results to clients.

The role involves building and managing data environments and applying machine learning techniques where appropriate. The ideal candidate has a degree in sciences/engineering and fluency in Python, SQL, and R, with beneficial

Qualifications

• Bachelor's Degree in Sciences or Engineering with a strong focus on Computer Science, Statistics, Mathematics, or Actuarial Sciences.
• Fluency in Python, SQL, and R.
• Beneficial: fluency in C#.Net, C, C++, Visual Basic, or SQL.

Responsibilities

• Derive business value from data through systematic analysis and interpretation.
• Proactively source data from multiple suppliers and conduct advanced statistical and analytical work to extract actionable insights.
• Store and manage extracted data in appropriate internal or external environments, expanding database structures as needed.
• Engage with clients to communicate strategic results and insights.
• Apply advanced analytics technologies, statistical methods, and potentially machine learning and predictive modelling techniques.
• Communicate technical findings and methodologies effectively to both technical and business audiences.

Skills

Python

SQL

R

C#.Net

C

C++

Visual Basic

Education

Bachelor's Degree in Sciences or Engineering

Job description

Boardroom Appointments is seeking a data analytics professional to derive business value from data through systematic analysis and interpretation. You will source data from multiple suppliers, perform advanced statistical work, and communicate strategic results to clients.

The role involves building and managing data environments and applying machine learning techniques where appropriate. The ideal candidate has a degree in sciences/engineering and fluency in Python, SQL, and R, with beneficial