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Data Scientist

Harnham

New York (NY)

Remote

Full time

Yesterday
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Job summary

A leading provider in the non-standard insurance space is seeking a Data Scientist for a 6-month contract-to-hire role. The position is remote and requires strong expertise in machine learning, predictive modeling, and comprehensive data analysis skills, particularly in the insurance domain. The successful candidate will work closely with actuarial teams, focusing on loss prediction and data visualization to improve business strategies.

Benefits

Medical insurance
Vision insurance
401(k)

Qualifications

  • 3-5 years of experience as a Data Scientist in insurance or actuarial analytics.
  • Expertise in Python, SQL, and R, focusing on predictive modeling.
  • Strong experience with data visualization and storytelling.

Responsibilities

  • Build predictive models for loss prediction and retention.
  • Leverage machine learning techniques to analyze complex insurance data.
  • Collaborate with teams to translate data insights into actionable recommendations.

Skills

Python
SQL
R
Data Wrangling
Predictive Modeling
Machine Learning
Inferential Statistics
Data Visualization

Tools

Power BI
Tableau

Job description

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This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$60.00/hr - $80.00/hr

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Recruitment Consultant | Contracts at Harnham

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)
Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Contract
Job function
  • Job function
    Information Technology
  • Industries
    Staffing and Recruiting and Insurance

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

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