Remote Insurance Data Scientist: ML & Risk Analytics

Placements24; Mossel Bay; Hybrid; ZAR 700,000 - 1,200,000; Full time

Benefits offered by this job

Fully remote

Competitive salary

Professional development budget

Cloud platforms access

Stock options

Flexible hours

Job summary

Placements24 is seeking a remote Insurance Data Scientist to extract actionable insights from complex datasets. You will drive risk assessment, pricing, segmentation, and fraud detection while collaborating with actuaries, underwriters, and product teams.

You will work remotely with Mossel Bay involvement and nationwide operations, applying advanced statistical modeling and ML to real-world insurance challenges. A strong data science background and insurance experience are essential.

Qualifications

• A Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, Economics, or a related quantitative field.
• Minimum of 4-6 years of professional experience as a Data Scientist, with a significant portion in insurance or financial services.
• Proven expertise in statistical modeling, machine learning algorithms (regression, classification, clustering, deep learning), and experimental design.
• Proficiency in Python or R, including libraries such as scikit-learn, TensorFlow, PyTorch, Pandas, NumPy.
• Experience with SQL and large databases.
• Familiarity with Spark or Hadoop is a plus.
• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication and presentation skills for diverse audiences.
• Ability to work remotely and collaborate with cross-functional teams.
• Knowledge of insurance products, risk principles, and regulatory requirements is highly desirable.

Responsibilities

• Develop and implement advanced statistical and ML models for pricing, underwriting, claims analysis, and customer behavior.
• Clean, transform, and analyze large, complex datasets from various sources to identify patterns and insights.
• Build predictive models for risk, fraud detection, customer lifetime value, and churn.
• Design and conduct A/B tests and experiments to evaluate new strategies or features.
• Collaborate with actuaries, underwriters, and product managers to translate needs into data solutions.
• Develop data visualizations and dashboards to communicate findings to technical and non-technical audiences.
• Stay current with advances in data science, ML, and AI and apply them to insurance domains.
• Ensure data quality, integrity, and ethical use in analyses and models.
• Contribute to data infrastructure and analytics platforms maintenance.
• Present complex findings clearly to senior management.

Job description

Placements24 is seeking a remote Insurance Data Scientist to extract actionable insights from complex datasets. You will drive risk assessment, pricing, segmentation, and fraud detection while collaborating with actuaries, underwriters, and product teams.

You will work remotely with Mossel Bay involvement and nationwide operations, applying advanced statistical modeling and ML to real-world insurance challenges. A strong data science background and insurance experience are essential.