Insurance Data Science Consultant

Earnix; Boston (MA); On-site; USD 78,000 - 142,000; Full time

Benefits offered by this job

Competitive benefits

Growth opportunities

Job summary

Earnix is seeking a Professional Services Consultant with a strong analytics background in the insurance industry. You will help clients leverage our cloud-based pricing and analytics software, build and review predictive models, and advise on pricing strategies across lines of business.

You’ll use Python and R for ML, translate complex results for diverse audiences, train new users, and travel up to 25% domestically and internationally.

Qualifications

• Extensive experience in the insurance industry, analytics and predictive modeling.
• Proficiency in Python and R for ML.
• Excellent communication and ability to present complex results clearly.
• Strong ability to engage clients and derive insights from data.
• Willingness to travel up to 25% domestically and internationally.

Responsibilities

• Develop and maintain predictive models to assess risk and demand and guide pricing strategies.
• Use machine learning techniques to enhance analytics capabilities.
• Communicate complex results clearly to diverse audiences.
• Demonstrate software functionality and provide training to new users.
• Travel up to 25% domestically and internationally.

Skills

Insurance analytics

Predictive modeling

Communication

Client engagement

Travel readiness

Education

ACAS or near-ACAS designation

Tools

Python

R

Job description

Join our dynamic team at an innovative insurance software company! We are seeking a Professional Services Consultant with a strong background in analytics within the insurance industry, ideally holding ACAS or near-ACAS designation. In this role, you will be instrumental in supporting our clients’ usage of our software for data extraction and analysis, developing and reviewing statistical models, and implementing effective pricing strategies.

What you’ll do:

• Develop and maintain predictive models to assess risk and customer demand, guiding pricing strategies across various lines of business.
• Utilize machine learning techniques and programming languages such as Python and R to enhance analytics capabilities.
• Communicate complex technical results clearly and effectively, tailoring presentations for diverse audiences.
• Demonstrate software functionality and provide training to new users, ensuring a smooth onboarding process.
• Willingness and flexibility to travel up to 25% domestically and internationally.

Requirements:

• Extensive experience in the insurance industry, specifically in analytics and predictive modeling.
• Proficiency in machine learning methods and programming languages (Python and R).
• Exceptional communication skills, with a knack for presenting technical information in an accessible manner.
• Strong ability to engage clients and provide valuable insights through data analysis.

You’ll excel by:

• Focusing on the art of the possible
• Communicating with honesty, candour, and respect
• Collaborating seamlessly with colleagues across the company
• Being resourceful and creative
• Acting with empathy

You’ll love it because:

This is an incredibly impactful role in the organization.

You will have the opportunity to work in a successful, fast-moving, mission-driven company.

You will have growth opportunities.

You will collaborate with other professional and enthusiastic team members.

Earnix has competitive benefits with an all-for-one mentality.

Salary Range:

$78,000-142,000 per year

Position Intro:

Earnix is the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. Earnix has been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.