Predictive analytics powers this Data Scientist opportunity with a Kimberley financial technology firm offering hybrid collaboration. Apply machine learning, data visualization, and experimentation to Banking & Finance challenges.
The position focuses on turning vast datasets into insights, predictive models, and strategic decisions. You will work with Python or R, SQL, statistical methods, and data mining techniques. Collaboration with engineering and product teams supports production data science solutions.
Key Responsibilities:
Build models for fraud detection and risk assessment
Support customer segmentation and predictive analytics applications
Design experiments measuring business and model impact
Communicate complex insights through transparent data visualizations
Identify data science prospects across Banking & Finance
Requirements:
Three to five years of relevant analytical experience
Master's or PhD in computer science or related field
Proficiency with Python, R, TensorFlow, or PyTorch
Experience using SQL, Spark, or Hadoop
Robust problem-solving and analytical capabilities
Bring predictive analytics, experimentation, and stakeholder communication expertise to meaningful financial technology work in Kimberley.