Insurance Data Scientist

Placements24; United States; Remote; USD 110,000 - 180,000; Full time

Benefits offered by this job

Competitive salary

Performance bonus

Health insurance

Retirement plan

Remote work

Professional development

Conference attendance

Paid time off

Job summary

Placements24 is seeking an Insurance Data Scientist for a fully remote role in the United States. You will analyze large datasets, build predictive models for risk, pricing, fraud detection, and customer analytics, and deploy models to production.

The ideal candidate has advanced degrees in data science or related fields, strong programming skills (Python/R/SQL), and experience with ML frameworks. You will collaborate with stakeholders, visualize findings, ensure data quality, and stay current

Qualifications

• Master's or PhD in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 4 years of experience as a Data Scientist, preferably in insurance or financial services.
• Proficiency in Python, R, and SQL.
• Experience with ML libraries and frameworks (Scikit-learn, TensorFlow, PyTorch).
• Strong understanding of statistical modeling, hypothesis testing, and experimental design.
• Experience with data visualization tools (Tableau, Power BI, Matplotlib).
• Excellent analytical, problem-solving, and communication skills.
• Familiarity with cloud platforms (AWS, Azure, GCP) is a plus.
• Ability to work independently and manage remote projects.

Responsibilities

• Collect, clean, and transform large structured and unstructured data.
• Develop and implement advanced statistical models and ML algorithms for predictive analytics.
• Apply data science to risk modeling, pricing optimization, fraud detection, and customer segmentation.
• Build and deploy models to production environments and monitor performance.
• Collaborate with business stakeholders to translate needs into data science solutions.
• Visualize and communicate findings to technical and non-technical audiences.
• Identify opportunities for data-driven improvements in processes and products.
• Stay up-to-date with the latest data science advancements in AI.
• Mentor junior analysts and contribute to the data science community.

Skills

Python

R

SQL

Statistical Modeling

Machine Learning

Data Visualization

Education

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

Tools

Scikit-learn

TensorFlow

PyTorch

Tableau

Power BI

Matplotlib

AWS

Azure

GCP

Job description

About the Role

Our client, a forward-thinking insurance company, is seeking a talented and experienced Insurance Data Scientist to join their innovative team. This role offers a fully remote work arrangement, allowing you to leverage your expertise in data analysis and machine learning from anywhere. You will play a crucial role in extracting valuable insights from complex datasets to drive strategic decision-making, improve product offerings, and optimize business processes within the insurance sector. The ideal candidate will have a strong background in statistics, programming, and machine learning, with a specific focus on applying these skills to insurance-related challenges such as risk assessment, fraud detection, and customer analytics. Join a company that is committed to data-driven innovation and offers a collaborative environment for professional growth. This is an exciting opportunity to make a significant impact on the business's future success, working remotely and supporting operations that may include areas like Tembisa, Gauteng .

Key Responsibilities

• Collect, clean, and transform large volumes of structured and unstructured data from various sources.
• Develop and implement advanced statistical models and machine learning algorithms for predictive analytics.
• Apply data science techniques to areas such as risk modeling, pricing optimization, fraud detection, and customer segmentation.
• Build and deploy models to production environments, monitoring their performance and iterating as needed.
• Collaborate with business stakeholders to understand their needs and translate them into data science solutions.
• Visualize and communicate complex findings and insights to both technical and non-technical audiences.
• Identify opportunities for data-driven improvements in business processes and product development.
• Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence.
• Contribute to the development of data governance and data quality standards.
• Mentor junior data analysts and contribute to the data science community within the organization.

Requirements

• Master's or PhD degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 4 years of experience as a Data Scientist, with a strong preference for experience in the insurance or financial services industry.
• Proficiency in programming languages commonly used in data science (e.g., Python, R, SQL).
• Experience with machine learning libraries and frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
• Strong understanding of statistical modeling, hypothesis testing, and experimental design.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, with the ability to explain technical concepts clearly.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) is a plus.
• Ability to work independently and manage projects effectively in a remote environment.

Benefits

• Highly competitive salary and performance-based bonus structure.
• Comprehensive health, dental, and vision insurance.
• Generous retirement savings plan.
• Flexible remote work arrangements and supportive work-life balance.
• Opportunities for continuous learning, professional development, and conference attendance.
• Access to cutting-edge data science tools and technologies.
• A stimulating and collaborative work environment focused on innovation.
• Paid time off and company holidays.