ENVIRONMENT:
Our client is on the hunt for a Data Scientist who can make machines think smarter than humans. Based in George — where your models run fast and the coffee runs faster — you’ll join a team that’s redefining how data drives business. They’re not here to build pretty dashboards — they’re here to solve real problems with machine learning that drives smarter decisions, cuts costs, and fuels innovation. If you can turn messy data into powerful, production-ready models (no handholding required), this might just be your next great adventure.
DUTIES:
- Prepping, cleaning & shaping raw data into machine-learning gold
- Finding hidden patterns no one else sees
- Building, validating & deploying ML models into production
- Keeping an eagle eye on model performance (and spotting drift before it drifts too far)
- Retraining and upgrading models so they stay sharp
- Designing intuitive dashboards & tools that make complex results look effortless
REQUIREMENTS:
- Have a Degree or Honours in Data Science or Actuarial Science.
- Have 3+ years in insurance or financial services (short-term insurance = bonus points).
- Have 3+ years taking ML projects from raw data to deployment.
- Can wrangle Python or R, SQL or Snowflake like a pro.
- Have hands-on claims modelling, survival analysis & statistical modelling chops.
- Understand time series forecasting like the back of your hand.
- Are curious, independent, and allergic to “good enough”.
Extra street cred for:
- Experience with ML platforms
- Power BI, Qlik Sense, Tableau wizardry
While we would really like to respond to every application, should you not be contacted for this position within 10 working days please consider your application unsuccessful.
COMMENTS:
When applying for jobs, ensure that you have the minimum job requirements. OnlySA Citizens will be considered for this role. If you are not in the mentioned location of any of the jobs, please note your relocation plans in all applications for jobs and correspondence. Apply here [URL Removed] e-mail a Word copy of your CV to [Email Address Removed] and mention the reference number of the job.
Desired Skills:
- Data
- Scientist
- George