Remote Insurance Data Scientist

Placements24; Soweto; Hybrid; ZAR 1,437,000 - 2,395,000; Full time

Benefits offered by this job

Annual bonus

Remote work

State-of-the-art tools & platforms

Health, dental, and vision coverage

Learning and professional growth

Job summary

Placements24 is seeking a highly skilled Remote Insurance Data Scientist to drive data-guided decisions. You will design and deploy predictive models for fraud detection, pricing, and churn, collaborating with actuarial, underwriting, and product teams from a fully remote setup.

You will analyze large insurance datasets, translate business needs into data science solutions, and communicate results to diverse audiences while staying current with ML/AI advancements in insurance.

Qualifications

• Advanced degree (MS or PhD) in Data Science, CS, Statistics or quantitative field.
• Proven experience as a Data Scientist with production models.
• Proficiency in Python or R and ML libraries (scikit-learn, TensorFlow, PyTorch).
• Experience with SQL and big data technologies.

Responsibilities

• Design, develop, and deploy predictive models and ML algorithms for insurance apps.
• Analyze large, complex datasets to inform business strategy.
• Collaborate with actuarial, underwriting, and product teams to translate needs into solutions.
• Communicate findings clearly to technical and non-technical audiences.
• Stay updated on latest data science and AI advancements for insurance context.

Skills

Analytical skills

Problem solving

Communication

Education

MS or PhD in Data Science/Math/CS

Tools

Python

R

scikit-learn

TensorFlow

PyTorch

SQL

Job description

About the Role

Our client is looking for a highly skilled Remote Insurance Data Scientist to drive data-informed decision-making across the organization. Working in a fully remote setting, you will leverage advanced statistical, machine learning, and AI techniques to extract valuable insights from complex insurance data. Your work will directly influence product development, risk assessment, customer segmentation, and operational efficiency. This is an exciting opportunity for a data-driven professional who enjoys tackling challenging problems and contributing to innovation in the insurance sector from anywhere.

Key Responsibilities

• Design, develop, and deploy predictive models and machine learning algorithms for insurance applications (e.g., fraud detection, pricing, customer churn).
• Analyze large, complex datasets to uncover actionable insights and inform business strategy.
• Collaborate with actuarial, underwriting, and product teams to translate business needs into data science solutions.
• Communicate technical findings and recommendations clearly to both technical and non-technical audiences.
• Stay abreast of the latest advancements in data science, machine learning, and AI, and explore their application within the insurance context.

Requirements

• Advanced degree (M.S. or Ph.D.) in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field.
• Proven experience as a Data Scientist, with a strong focus on building and deploying models in a production environment.
• Proficiency in programming languages commonly used in data science (e.g., Python, R) and expertise with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with database querying (SQL) and big data technologies.
• Excellent analytical, problem-solving, and communication skills, essential for effective remote collaboration.

Benefits

• Exceptional salary and potential for annual bonuses.
• A fully remote position offering maximum work flexibility.
• Access to state-of-the-art data science tools and platforms.
• Comprehensive health, dental, and vision coverage.
• Opportunities for continuous learning and professional growth in a cutting-edge field.