Senior Data Scientist — Actionable Insights & ML Solutions

Old Mutual Life Assurance Company (SA) Ltd; Cape Town; On-site; ZAR 900,000 - 1,300,000; Full time

Job summary

Old Mutual Life Assurance Company (SA) Ltd in Cape Town is seeking a seasoned Data Analytics professional to turn data into actionable insights for business partners. You will design end-to-end analytics solutions, explore data, and apply statistical and machine learning methods as appropriate.

Responsibilities include building predictive models, data visualization in PowerBI/Tableau, and collaborating with stakeholders to drive data-driven decisions.

Qualifications

• 5-8 years in advanced analytics with model building.
• End to end data analytics experience.
• Strong SQL, R, SAS, Python data manipulation.
• Experience with PowerBI or Tableau.
• Experience with AWS or Azure ML beneficial.

Responsibilities

• Turn data into actionable insights for business partners, using advanced analytics techniques.
• Develop end-to-end analytics solutions, from problem definition to visualization.
• Collaborate with stakeholders to drive data-driven decisions and outcomes.
• Coach/mentor junior data scientists in ML and statistical methods.

Skills

Data Analysis

Data Structures

Data Visualization

Model Building

Predictive Modeling

Statistical Analysis

SQL

R

SAS

Excel

Python

PowerBI

Tableau

Data Robot

SAS Enterprise Miner

Alteryx

SPSS

Education

Statistics/Analytics degree

Tools

SQL

R

SAS

Excel

Python

PowerBI

Tableau

Data Robot

SAS Enterprise Miner

Alteryx

SPSS

Job description

Old Mutual Life Assurance Company (SA) Ltd in Cape Town is seeking a seasoned Data Analytics professional to turn data into actionable insights for business partners. You will design end-to-end analytics solutions, explore data, and apply statistical and machine learning methods as appropriate.

Responsibilities include building predictive models, data visualization in PowerBI/Tableau, and collaborating with stakeholders to drive data-driven decisions.