Overview
On Site
90k - 110k
Full Time
Skills
Economics
Fraud
Data Wrangling
Data Science
Python
Pandas
PyTorch
XGBoost
Databricks
Insurance
Finance
Machine Learning (ML)
Health Insurance
SAP BASIS
Job Details
Job Description
We're currently working with an international software and economics firm that's actively looking to grow their production-level data science team. This is a fantastic opportunity for early-career data scientists who want to work on impactful, large-scale solutions-specifically in combating fraud within the financial and insurance sectors.
This team is looking for candidates who are not only strong in model development and data wrangling but also excited about taking models into production. If you're someone who thrives in a fast-paced, collaborative environment and enjoys solving real-world problems with data, this could be a great fit.
Required Skills & Experience
1-2 years of professional experience in data science
Strong Python skills, with experience in libraries such as Pandas, PyTorch, and XGBoost
Hands-on experience with Databricks or similar platforms
Desired Skills & Experience
Interest in scaling machine learning solutions to production
Exposure to or interest in the insurance or financial domains
Familiarity with building and maintaining ML pipelines
Benefits Include:
Medical Insurance
Dental Benefits
Vision Benefits
Please note: Candidates must be currently authorized to work in the US on a full-time basis now and in the future.
We're currently working with an international software and economics firm that's actively looking to grow their production-level data science team. This is a fantastic opportunity for early-career data scientists who want to work on impactful, large-scale solutions-specifically in combating fraud within the financial and insurance sectors.
This team is looking for candidates who are not only strong in model development and data wrangling but also excited about taking models into production. If you're someone who thrives in a fast-paced, collaborative environment and enjoys solving real-world problems with data, this could be a great fit.
Required Skills & Experience
1-2 years of professional experience in data science
Strong Python skills, with experience in libraries such as Pandas, PyTorch, and XGBoost
Hands-on experience with Databricks or similar platforms
Desired Skills & Experience
Interest in scaling machine learning solutions to production
Exposure to or interest in the insurance or financial domains
Familiarity with building and maintaining ML pipelines
Benefits Include:
Medical Insurance
Dental Benefits
Vision Benefits
Please note: Candidates must be currently authorized to work in the US on a full-time basis now and in the future.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.