Remote Insurance Data Scientist

Placements24; Kimberley; Hybrid; CAD 110,000 - 165,000; Full time

Benefits offered by this job

Fully remote

Stock options

Annual performance bonus

Health insurance

Generous paid time off

Professional growth opportunities

Job summary

Placements24 is seeking a highly skilled Remote Insurance Data Scientist to join a cutting-edge insurtech team. This fully remote role offers flexibility to work from anywhere, focusing on data-driven decision-making in insurance.

You will leverage large datasets, build predictive models, and communicate insights to stakeholders. The ideal candidate has 5+ years in data science within insurance, strong Python/R skills, and experience with ML libraries, SQL, and data visualization tools.

Qualifications

• Master's or Ph.D. in Data Science, Statistics, CS, or mathematics.
• 5+ years as a Data Scientist in insurance/financial services.
• Proficiency in Python or R and libraries (scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
• Strong SQL and database management skills.

Responsibilities

• Develop and implement advanced models and ML algorithms for risk, fraud, segmentation, and analytics.
• Clean, transform, and analyze large datasets from multiple sources.
• Design and run A/B tests and experiments to assess model impact.
• Collaborate with product, underwriting, marketing, and claims teams.

Skills

Python

R

SQL

Statistical Modeling

Machine Learning

Communication

Problem Solving

Independent Work

Education

Master's or Ph.D. in Data Science/Statistics/CS/Math

Tools

scikit-learn

TensorFlow

PyTorch

Pandas

NumPy

Tableau

Power BI

AWS/Azure/GCP

Spark/Hadoop

Job description

About the Role

Our client, a cutting-edge insurtech company, is looking for a highly skilled Remote Insurance Data Scientist to join their innovative team. This is a fully remote position, offering the ultimate flexibility to work from anywhere in South Africa. You will be instrumental in leveraging vast datasets to drive strategic decision-making, enhance product offerings, optimize operational efficiency, and improve customer experiences within the insurance domain. The ideal candidate will possess a strong blend of statistical modeling, machine learning expertise, programming skills, and a deep understanding of insurance principles. This role offers a unique opportunity to work with state-of-the-art technologies and contribute significantly to the transformation of the insurance industry from a remote setting, serving a broad base including clients near Kimberley, Northern Cape .

Key Responsibilities

• Develop and implement advanced statistical models and machine learning algorithms for applications such as risk assessment, fraud detection, customer segmentation, and predictive analytics.
• Clean, transform, and analyze large, complex datasets from various sources to extract actionable insights.
• Design and execute A/B tests and other experiments to evaluate the impact of new models and strategies.
• Collaborate with product, underwriting, marketing, and claims teams to identify opportunities for data-driven improvements.
• Build data visualizations and dashboards to communicate findings and recommendations to both technical and non-technical stakeholders.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence, and explore their application in the insurance sector.
• Ensure data quality, integrity, and compliance with data privacy regulations (e.g., POPIA).
• Develop and maintain robust, scalable data pipelines and analytical solutions.
• Mentor junior data analysts and contribute to the growth of the data science practice.
• Communicate complex findings clearly and concisely to inform strategic business decisions.

Requirements

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 5 years of professional experience as a Data Scientist, with a significant focus on the insurance or financial services industry.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
• Strong experience with SQL and database management.
• Expertise in statistical modeling, machine learning techniques (e.g., regression, classification, clustering, time series analysis), and experimental design.
• Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Familiarity with cloud platforms (AWS, Azure, GCP) and 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 translate complex technical concepts into business value.
• Self-motivated, detail-oriented, and capable of working independently in a remote environment.

Benefits

• Highly competitive salary package reflecting advanced skills and experience.
• Comprehensive health, dental, and vision insurance plans.
• Generous retirement savings plan with employer matching.
• Fully remote work arrangement offering exceptional flexibility and autonomy.
• Significant opportunities for professional growth, research, and attending leading AI/ML conferences.
• Access to cutting-edge data science tools, platforms, and vast datasets.
• Stimulating work environment with a focus on innovation and cutting-edge technology.
• Annual performance bonuses and potential for stock options.
• Generous paid time off and flexible working hours.
• Contribute to shaping the future of insurance through data-driven insights.