2025-7642_Data Scientist - Mid
2025-7642_Data Scientist - Mid
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
We are seeking a skilled Data Scientist to join our team focusing on deriving business insights and driving data-driven decision-making. This position will help support predictive modeling needs across a growing portfolio of high-profile advanced analytics projects with the Strategic Analytics. As a key member of the team you will also play a role in advancing predictive modeling capabilities enabling Arch to make better decisions.
Responsibilities:
- Collaborate with experienced modelers to build predictive models and analytic solutions using Python ; apply techniques such as GLM decision trees GBM NLP and AI/LLM prompt engineering
- Manipulate data using R or SQL Server; develop advanced ad hoc queries to investigate data anomalies and to summarize data for pattern detection
- Develop Python or R functions and SQL stored procedures to automate recurring tasks
- Create and maintain documentation associated with models
- Assist in implementation and testing of models
- Develop dashboards in Power BI to facilitate analyses that support modeling efforts or enable model usage
- Monitor the performance and usage of models
- Develop and implement predictive models and statistical analyses to forecast business outcomes.
- Translate data insights into clear actionable recommendations for stakeholders.
Qualifications :
- At least 3 years predictive modeling experience in a professional setting using tools such as Python or SQL
- The ideal candidate will have experience working in the insurance industry
- Exposure to AI/LLM OCR NLP and image analytics a plus
- Detail oriented with strong organizational skills
- Strong analytical skills
- Excellent critical thinking skills in order to tackle complex data challenges
- Comfortable working in a fast paced and highly collaborative global team
- Ability to effectively communicate technical topics to different target audiences
Additional Information :
BS in Mathematics Statistics Actuarial Science Data Analytics Computer Science or equivalent
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
