Remote Insurance Data Scientist — Predictive Analytics & AI

Placements24

Soweto

Hybrid

ZAR 900,000 - 1,300,000

Full time

13 days ago

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Benefits offered by this job

Competitive salary and bonus structure
Medical, dental, and vision insurance
Retirement plan with company matching
Generous paid time off

Job summary

Placements24 is seeking a highly skilled Remote Insurance Data Scientist to join its analytics team. You’ll build predictive models, analyze large datasets, and communicate insights to both technical and non-technical stakeholders in a remote-first environment.

The role requires 5+ years in data science within insurance, expertise in Python or R, SQL proficiency, and experience with machine learning and big data tools.

Qualifications

  • Master's or PhD in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
  • Minimum of 5 years of experience as a Data Scientist, with a significant portion focused on the insurance industry.
  • Expertise in Python or R, and proficiency with relevant data science libraries (e.g., scikit-learn, TensorFlow, PyTorch).
  • Strong experience with SQL and database management.
  • Deep understanding of machine learning techniques, statistical modeling, and experimental design.
  • Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
  • Excellent analytical, problem-solving, and critical thinking skills.
  • Strong communication and presentation skills, with the ability to explain technical concepts to non-technical audiences.
  • Proven ability to work independently and manage projects effectively in a remote setting.
  • Familiarity with cloud platforms (AWS, Azure, GCP) is advantageous.

Responsibilities

  • Develop, implement, and maintain sophisticated statistical models and machine learning algorithms for insurance-related applications (e.g., predictive modeling, risk scoring, customer segmentation).
  • Analyze large, complex datasets to identify trends, patterns, and insights related to customer behavior, risk profiles, and operational efficiency.
  • Design and execute A/B tests and other experiments to validate hypotheses and measure the impact of data-driven initiatives.
  • Extract, clean, and transform data from various sources to prepare it for analysis.
  • Collaborate with business stakeholders to define key performance indicators and reporting requirements.
  • Communicate complex analytical findings and recommendations clearly and concisely to diverse audiences, including executive leadership.
  • Stay current with the latest advancements in data science, machine learning, and artificial intelligence, and explore their applicability to the insurance industry.
  • Contribute to the development of data governance policies and best practices.
  • Work with engineering teams to deploy models into production environments.
  • Identify opportunities for process automation and efficiency gains through data analysis.

Skills

Python
R
Statistics
Machine learning
Data mining
Experiment design
Communication

Education

Master's or PhD in Data Science/Statistics/CS/Math

Tools

SQL
Spark
Hadoop
scikit-learn
TensorFlow
PyTorch
AWS
Azure
GCP

Job description

Placements24 is seeking a highly skilled Remote Insurance Data Scientist to join its analytics team. You’ll build predictive models, analyze large datasets, and communicate insights to both technical and non-technical stakeholders in a remote-first environment.

The role requires 5+ years in data science within insurance, expertise in Python or R, SQL proficiency, and experience with machine learning and big data tools.

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