Insurance Data Scientist

Placements24; Mbombela (Nelspruit); Hybrid; ZAR 900,000 - 1,500,000; Full time

Benefits offered by this job

Competitive salary

Bonuses

Medical benefits

Retirement benefits

Flexible working arrangement

Job summary

Placements24 is seeking an Insurance Data Scientist for its client in Nelspruit, Mpumalanga. The role focuses on advanced statistical modeling, ML, and data mining to optimize pricing and risk assessment across the insurance lifecycle.

The ideal candidate will have a strong quantitative background, expertise in Python or R, and experience building scalable data pipelines. Excellent communication and collaboration skills are required to translate complex insights for business teams.

Qualifications

• Master's or Ph.D. in quantitative field.
• 4+ years as Data Scientist in insurance or financial services.
• Proficiency in Python or R for data analysis and ML (scikit-learn, TensorFlow, PyTorch).
• Strong SQL and large dataset experience.
• Experience with data visualization tools (Tableau, Power BI).

Responsibilities

• Develop and implement predictive models for pricing, underwriting, claims, and customer behavior.
• Analyze large datasets to identify trends, patterns, and opportunities for business improvement.
• Design and run A/B tests and experiments to evaluate model performance and impact.
• Collaborate with stakeholders to translate needs into data science solutions.
• Build data pipelines and automate data processes for efficiency and scalability.
• Communicate complex findings clearly to technical and non-technical audiences.
• Stay updated on advancements in data science, ML, and AI.
• Contribute to data strategy and best practices within the organization.

Skills

Statistical modeling

Machine learning

Data mining

Data visualization

Problem solving

Communication

Education

Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or related quantitative field

Tools

Python

R

SQL

Tableau

Power BI

TensorFlow

PyTorch

Job description

About the Role

Our client, a leader in data-driven insurance solutions, is looking for a talented Insurance Data Scientist to join their innovative team in Nelspruit, Mpumalanga . This role will leverage advanced statistical modeling, machine learning, and data mining techniques to extract actionable insights from complex datasets. You will be instrumental in optimizing pricing strategies, enhancing risk assessment models, improving customer segmentation, and driving operational efficiencies within the insurance lifecycle. The ideal candidate possesses a strong quantitative background, expertise in programming languages like Python or R, and a passion for solving challenging business problems through data. This is a significant opportunity to make a data-driven impact in the insurance sector from the beautiful region of Nelspruit .

Key Responsibilities

Develop and implement predictive models for pricing, underwriting, claims, and customer behavior. Analyze large, complex datasets to identify trends, patterns, and opportunities for business improvement. Design and execute A/B tests and other experiments to evaluate model performance and business impact. Collaborate … with business stakeholders to understand their needs and translate them into data science solutions. Build data pipelines and automate data processes for efficiency and scalability. Communicate complex findings and recommendations clearly to both technical and non-technical audiences. Stay abreast of the latest advancements in data science, machine learning, and AI. Contribute to the development of data strategy and best practices within the organization. Ensure data quality and integrity throughout the analysis process in Nelspruit, Mpumalanga .

Requirements

Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field. Minimum of 4 years of experience as a Data Scientist, with a focus on the insurance or financial services industry. Proficiency in Python or R for data analysis and machine learning (e.g., scikit-learn, TensorFlow, PyTorch). Strong experience with SQL and working with large datasets. Solid understanding of statistical modeling, machine learning algorithms, and data mining techniques. Experience with data visualization tools (e.g., Tableau, Power BI). Excellent analytical, problem-solving, and critical thinking skills. Strong communication and collaboration abilities. Familiarity with cloud platforms (AWS, Azure, GCP) is a plus.

Benefits

Our client offers a highly competitive salary, generous bonuses, comprehensive medical and retirement benefits, and significant opportunities for professional growth and learning. Enjoy a flexible working arrangement and a vibrant company culture that encourages innovation and collaboration. This role in Nelspruit provides a chance to work on cutting-edge data projects in a supportive environment.