Remote Insurance Data Scientist

Placements24; Soweto; Ibrido; ZAR 900.000 - 1.300.000; Tempo pieno

Vantaggi offerti da questo lavoro

Competitive salary and bonus structure

Medical, dental, and vision insurance

Retirement plan with company matching

Generous paid time off

Descrizione del lavoro

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.

Competenze

• 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.

Mansioni

• 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.

Conoscenze

Python

R

Statistics

Machine learning

Data mining

Experiment design

Communication

Formazione

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

Strumenti

SQL

Spark

Hadoop

scikit-learn

TensorFlow

PyTorch

AWS

Azure

GCP

Descrizione del lavoro

About the Role

Our client is seeking a highly skilled and innovative Remote Insurance Data Scientist to join their advanced analytics team. This role is crucial for leveraging vast datasets to derive actionable insights that drive strategic decision-making across the organization, from risk assessment and pricing to fraud detection and customer experience enhancement. As a fully remote employee, you will have the flexibility to work from anywhere while contributing to cutting-edge data-driven initiatives within the insurance sector. The ideal candidate will possess a strong background in statistics, machine learning, and data mining, coupled with a deep understanding of insurance principles and operations. You will be responsible for building predictive models, analyzing complex data patterns, and communicating your findings effectively to both technical and non-technical stakeholders. This is an exceptional opportunity for a talented data scientist to make a significant impact in a dynamic, remote-first environment.

Key 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.

Requirements

• A Master's or Ph.D. degree 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 programming languages such as 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.

Benefits

• Highly competitive salary and bonus structure.
• Comprehensive benefits package, including medical, dental, and vision insurance.
• Retirement savings plan with company contributions.
• Generous paid time off and holidays.
• Fully remote work arrangement, offering maximum flexibility.
• Access to advanced analytics tools and resources.
• Opportunities for professional development, conferences, and further education.
• Be part of a data-driven culture that fosters innovation and continuous learning.
• Contribute to transformative projects in the insurance technology landscape.