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Why this grade This listing scored 18/100, which is an F. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Freshness 0 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
-15 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
The candidate develops innovative predictive models and analytical tools to improve profitability, growth, and operational efficiency. This position will help support predictive modeling needs across a growing portfolio of high-profile advanced analytics projects with the Strategic Analytics team supporting Claim. 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 or R; apply techniques such as GLM, decision trees, GBM and NLP
- 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
- At least 5 years’ predictive modeling experience in a professional setting, using tools such as Python, R or SQL
- The ideal candidate will have experience working in the insurance industry
- Experience calling API’s
- Exposure to OCR, NLP and image analytics a plus
- Detail oriented with strong organizational 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
BS in Mathematics, Statistics, Actuarial Science, Data Analytics, Computer Science, or equivalent
AGSI was incorporated in April 2016. We are committed to supporting the goals of Arch divisions through exceptional service delivery. We pride ourselves on maintaining flexibility and responsiveness to adapt to business unit and industry demands while focusing on sound project management. We are dedicated to growing and developing our employees as we build strong teams with strategic leadership.
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 03 Jul 2026 Himalayas first sighting
Seen on 1 board over 0 days.