Full-Time

Applied Data Scientist

AI + ML Saas

Posted on 8/12/2024

EvolutionIQ

EvolutionIQ

51-200 employees

AI software for insurance claims handling

Enterprise Software
AI & Machine Learning
Financial Services

Compensation Overview

$190k - $225kAnnually

+ Equity Plan

Mid

H1B Sponsorship Available

New York, NY, USA

Preferred to work out of NYC HQ 2-3 days a week (hybrid).

Category
Data Science
Data & Analytics
Required Skills
Data Science
Keras
Pytorch
Natural Language Processing (NLP)
Data Analysis
Requirements
  • You are an ML Engineer / Data Scientist with 3+ years of experience, especially in highly scalable production environments.
  • You have deep exposure to data science & ML tech stacks (sklearn, Keras / PyTorch, tuning frameworks), data analysis & modeling, and strive for scalable technical concepts and solutions.
  • You’re a team player who is solutions-oriented.
  • You have crisp written and verbal communication skills and can effectively correspond between technical and non-technical audiences.
Responsibilities
  • Build ML models for production use
  • Perform in-depth exploratory data analysis to scope ML opportunities, identify potential issues in the data, and lay the groundwork for model design, training & evaluation strategies
  • Suggest and implement new features to improve model performance and business logic
  • Translate client business problems into ML problems
  • Build scalable machine learning models for claim time series forecasting and NLP text understanding
  • Continue to grow and learn in the data & ML space with a focus on business problems that require making sense of large-scale structured and unstructured datasets

EvolutionIQ creates software for the insurance industry that enhances the claims handling process using artificial intelligence. The software helps insurance examiners and adjusters quickly identify the right claims to address, improving efficiency and accuracy. Unlike competitors, EvolutionIQ's AI can analyze bodily injury claims like a medical expert, allowing for faster assignment to specialized teams and predicting claim outcomes earlier. The company's goal is to streamline the claims process, reduce stress for claimants, and increase the rate of Return to Work outcomes.

Company Stage

Series B

Total Funding

$43.3M

Headquarters

New York City, New York

Founded

2019

Growth & Insights
Headcount

6 month growth

7%

1 year growth

37%

2 year growth

180%
Simplify Jobs

Simplify's Take

What believers are saying

  • Partnerships with major insurers like Lincoln Financial Group and Prudential validate EvolutionIQ's effectiveness and market acceptance.
  • The introduction of MedHub enhances the platform's capabilities, making it indispensable for claims professionals and improving claimant experiences.
  • Recognition as a 'Best Workplace' by Inc. Magazine highlights a positive company culture, which can attract top talent and drive innovation.

What critics are saying

  • The niche focus on insurance claims handling may limit market expansion opportunities.
  • Dependence on partnerships with large insurers could pose risks if these relationships falter or if insurers develop in-house solutions.

What makes EvolutionIQ unique

  • EvolutionIQ's AI-driven software specifically targets claims handling in the insurance industry, unlike broader AI applications by competitors.
  • Their SaaS model ensures continuous revenue and allows for regular updates and improvements, providing a competitive edge in technology and service.
  • The software's ability to predict claim trajectories and improve Return to Work outcomes sets it apart in the insurance sector.

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