Senior Data Scientist — Insurance Analytics (Remote)

Placements24; Queenstown; Hybrid; NZD 131,000 - 196,000; Full time

Benefits offered by this job

Generous remote work allowance

Professional development opportunities

Health insurance

Job summary

Placements24 is recruiting a Senior Data Scientist for a fully remote role focused on advanced analytics in the insurance sector. You will design and deploy sophisticated models, analyze large datasets, and collaborate with stakeholders to translate business challenges into data science solutions.

The role requires 5+ years of experience, a strong background in statistics and ML, and leadership to mentor junior scientists while shaping the company’s data strategy.

Qualifications

• Master's degree or PhD in Data Science, Computer Science, Statistics, Mathematics, or related quantitative field.
• Minimum 5 years as a Data Scientist, with substantial insurance/financial services exposure.
• Expertise in statistical modeling, ML techniques (regression, classification, clustering, deep learning) and experimental design.

Responsibilities

• Design, build and deploy advanced statistical models and ML algorithms for insurance applications.
• Analyze large datasets to extract insights on customer segmentation, risk, pricing and fraud detection.
• Develop predictive models to forecast trends and mitigate risks.
• Communicate findings clearly to technical and non-technical stakeholders.

Skills

Python

R

Statistics

Machine Learning

Big Data

Cloud

Education

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

Tools

scikit-learn

TensorFlow

PyTorch

Spark

Hadoop

Job description

Placements24 is recruiting a Senior Data Scientist for a fully remote role focused on advanced analytics in the insurance sector. You will design and deploy sophisticated models, analyze large datasets, and collaborate with stakeholders to translate business challenges into data science solutions.

The role requires 5+ years of experience, a strong background in statistics and ML, and leadership to mentor junior scientists while shaping the company’s data strategy.