Job Summary
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
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