Data Scientist Insurance
- Harnham Search and Selection Limited
- New York, New York
- Full Time
DATA SCIENTIST - INSURANCE
New York / $60 - $80 hour
INFO
SALARY:
$60 - $80
LOCATION
New York
JOB TYPE
Contract
Data Scientist - Insurance Analytics
Remote (10 am-6 pm EST)
6-Month Contract to Hire
$60-80/hr
About the Role
Our client, a specialized provider in the non-standard insurance space, is seeking a highly analytical and hands-on Data Scientist for a 6-month contract-to-hire position. This role is ideal for someone with 3-5 years of experience in data science or actuarial analytics, particularly within insurance domains. The successful candidate will have a strong foundation in predictive modeling, machine learning, and insurance business applications such as loss modeling, retention analysis, and close rate modeling.
Key Responsibilities
Build and maintain predictive models focused on loss prediction, retention, and close rates.
Leverage machine learning techniques, including time series analysis and unsupervised learning, to uncover patterns in complex insurance data.
Perform data wrangling to clean, merge, and transform datasets from multiple internal and external sources.
Conduct inferential statistical analysis to support underwriting, pricing, and business strategy decisions.
Collaborate with actuarial, underwriting, and business teams to translate data insights into actionable recommendations.
Monitor model performance over time and support ongoing model validation and recalibration efforts.
Develop compelling data visualizations and dashboards (preferably in Power BI; Tableau experience also acceptable).
Communicate findings through strong data storytelling and synthesis, tailored to both technical and business audiences.
Required Skills & Experience
3-5 years of experience as a Data Scientist, preferably within insurance, actuarial analytics, or related domains.
Strong programming and data skills:
Python, SQL, and R
Proven experience with data wrangling and ETL workflows
Expertise in predictive modeling and machine learning, particularly for insurance applications
Solid foundation in inferential statistics, unsupervised learning, and time series modeling
Experience working with insurance data, including claims, underwriting, policy, and exposure data
Strong experience in data visualization using Power BI or Tableau
Ability to present technical results clearly and persuasively to business stakeholders
Nice to Have
Experience in non-standard auto or specialty insurance lines
Progress toward actuarial exams (SOA or CAS)
Familiarity with cloud data environments (e.g., AWS, Azure)
CONTACT
Samantha Hutchinson
Recruitment Consultant
New York / $60 - $80 hour
INFO
SALARY:
$60 - $80
LOCATION
New York
JOB TYPE
Contract
Data Scientist - Insurance Analytics
Remote (10 am-6 pm EST)
6-Month Contract to Hire
$60-80/hr
About the Role
Our client, a specialized provider in the non-standard insurance space, is seeking a highly analytical and hands-on Data Scientist for a 6-month contract-to-hire position. This role is ideal for someone with 3-5 years of experience in data science or actuarial analytics, particularly within insurance domains. The successful candidate will have a strong foundation in predictive modeling, machine learning, and insurance business applications such as loss modeling, retention analysis, and close rate modeling.
Key Responsibilities
Build and maintain predictive models focused on loss prediction, retention, and close rates.
Leverage machine learning techniques, including time series analysis and unsupervised learning, to uncover patterns in complex insurance data.
Perform data wrangling to clean, merge, and transform datasets from multiple internal and external sources.
Conduct inferential statistical analysis to support underwriting, pricing, and business strategy decisions.
Collaborate with actuarial, underwriting, and business teams to translate data insights into actionable recommendations.
Monitor model performance over time and support ongoing model validation and recalibration efforts.
Develop compelling data visualizations and dashboards (preferably in Power BI; Tableau experience also acceptable).
Communicate findings through strong data storytelling and synthesis, tailored to both technical and business audiences.
Required Skills & Experience
3-5 years of experience as a Data Scientist, preferably within insurance, actuarial analytics, or related domains.
Strong programming and data skills:
Python, SQL, and R
Proven experience with data wrangling and ETL workflows
Expertise in predictive modeling and machine learning, particularly for insurance applications
Solid foundation in inferential statistics, unsupervised learning, and time series modeling
Experience working with insurance data, including claims, underwriting, policy, and exposure data
Strong experience in data visualization using Power BI or Tableau
Ability to present technical results clearly and persuasively to business stakeholders
Nice to Have
Experience in non-standard auto or specialty insurance lines
Progress toward actuarial exams (SOA or CAS)
Familiarity with cloud data environments (e.g., AWS, Azure)
CONTACT
Samantha Hutchinson
Recruitment Consultant
Job ID: 483394366
Originally Posted on: 6/30/2025
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