Data Scientist – Insurance

arrow

New York / $60 - $80 hour

INFO

Salary
SALARY:

$60 - $80

Location

LOCATION

New York

Job Type
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

SIMILAR
JOB RESULTS

4k-Harnham_DA copy
CAN’T FIND THE RIGHT OPPORTUNITY?

STILL
LOOKING?

If you can’t see what you’re looking for right now, send us your CV anyway – we’re always getting fresh new roles through the door.