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 opportunities 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
- Strong problem-solving and analytical capabilities
Bring predictive analytics, experimentation, and stakeholder communication expertise to meaningful financial technology work in Kimberley.