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Modis

Distributes cryospheric data sets and tools

Claim Assistant

Full-Time
No salary listed
Mid
O'Fallon, MO, USA
In Person

About the job

Responsibilities
  • Receive new losses and verify the accuracy of coverage information.
  • Register new loss information in the system.
  • Perform file updates in the system as directed by claim representatives or the team leader.
  • Register loss payments in the system.
  • Provide customer service to agents, insureds, clients, and other customers.
  • Process authorized payments.
  • Input correspondence into the system, diary information for claim representatives or the team leader, and prepare form letters.
  • Type, photocopy, index, and file documents.
Desired Qualifications
  • Two years of previous claims processing experience.
  • A strong customer service background.
  • Ability to work positively in a team-based environment.
  • Good written and oral communication skills, including effective telephone skills.
  • Ability to work independently under limited supervision.
  • Strong organizational skills and ability to manage multiple priorities effectively.
  • Initiative demonstrated through the ability to self-manage, organize, and prioritize work.
  • Working knowledge of Microsoft Excel, including pivot tables and formulas, Microsoft Word, and Microsoft Outlook, including email and calendar management.
  • GED or high school education, with two or more years of college preferred.
  • Commitment to high standards of behavior and performance.

About the company

NSIDC collects and shares data about Earth's snow, ice, glaciers, and frozen ground, offering more than 500 datasets from satellites and ground observations. Researchers can browse the NSIDC website and use data access tools to download or order the datasets they need, with support from NSIDC staff. It stands out by providing a focused, university-affiliated cryosphere data archive with direct access tools and partnerships with Indigenous and international communities. Its goal is to make cryospheric data widely accessible and usable to advance understanding of how frozen parts of the Earth are changing.

Company Size

51-200

Company Stage

N/A

Total Funding

N/A

Headquarters

Boulder, Colorado

Founded

1976

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Simplify's Take

What believers are saying

  • Q1FY27 revenue rose 28% to ₹58.26 crore, sustaining FY26 momentum.
  • Aegis Investment Fund PCC lifted its stake to 8.42% in June 2026.
  • Rashmi Square, Rashmi Signature, and Rashmi Manorath continue driving bookings and handovers.

What critics are saying

  • Modis canceled analyst meetings on March 30 and June 26, 2026, signaling execution friction.
  • Growth depends on a few Mumbai redevelopment projects, concentrating approvals and delivery risk.
  • A stalled Mumbai redevelopment pipeline would halt revenue recognition and threaten the franchise.

What makes Modis unique

  • FY26 revenue rose 84% to ₹189.31 crore, while EBITDA reached ₹38.46 crore.
  • Main Board migration on November 14, 2025 improved liquidity and institutional visibility.
  • Management says Shree Modis Navnirman merges into Modis Navnirman, tightening execution.

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Company News

National Tibetan Plateau Data Center
May 21st, 2026
Qinghai-Tibet Engineering Corridor (QTEC) Permafrost Underground Ice Content Data Set Released

Qinghai-Tibet Engineering Corridor (QTEC) permafrost Underground Ice content Data Set released. Publish time: 2026-05-21 20:14 Recently, the National Glacier, Permafrost and Desert Scientific Data Center released and shared the Qinghai-Tibet Engineering Corridor (QTEC) permafrost underground ice content dataset. The dataset was completed by Lin Zhanju, a researcher team at the Northwest Institute of Ecology, Environmental Resources, China Academy of Sciences, and is open to users. The related paper is "Spatial distribution and zoning characteristics of permafrost ground ice on the Qinghai-Xizang Engineering Corridor, China" published in Advances in Climate Change Research. Scientific researchers are warmly welcome to download and use it. Permafrost underground ice is a key solid water resource and engineering geological carrier. The frozen soil with high ice content in the Qinghai-Tibet Engineering Corridor is extremely sensitive to the response to degradation, which restricts the accurate simulation of frozen soil degradation by climate models and is also not conducive to the scientific formulation of engineering disaster prevention and control measures in fragile areas of the cryosphere. This study is based on 1158 sets of underground borehole measured data (actual measurement, engineering survey borehole data and data shared by public literature and the Scientific Data Center), introduces two machine learning algorithms: random forest and decision tree, and combines annual average temperature, ground temperature, altitude, 13 environmental factors such as slope, and vegetation index to achieve spatial simulation of underground ice content with a resolution of 200m across the corridor. The results show that 50% of the area within the Qinghai-Tibet Project Corridor is developed with high ice content frozen soil; the average annual temperature, ground temperature, active layer thickness, altitude and precipitation are the main factors controlling the spatial differentiation of underground ice. For details, see (Fan et al., 2026). This study can provide basic background data for refined assessment of regional underground ice reserves, and at the same time provide scientific support for ecological protection and engineering construction design in frozen soil areas. Figure 1 Distribution of subsurface ice content in QTEC obtained by two methods: (a) Random Forest (b) Decision Tree Figure 2 Development of thaw slumping in simulated permafrost regions with different ice contents Figure 3 Conceptual diagram of the development of ground ice along the QTEC (eastern edge of the Qinghai-Tibet Plateau) region [Project Support] 1. Temporal and spatial changes of frozen soil on the Xizang Plateau and its impact on the water environment in cold regions (XZ202501ZY0139); 2. Distribution characteristics and refined simulation of underground ice in permafrost soil in the Qinghai-Tibet Engineering Corridor (2024M753468); 3. Strategic Pilot Science and Technology Project of China Academy of Sciences (Category B): Permafrost and Underground Ice Disaster Risk and Response (XDB0950200); 4. Study on the cryogenic structure and ice content of frozen soil profiles under local differences in the Beiluhe area (SKLFSE-ZQ-202308). [Article Information] FanXing-Wen, Gao Ze-Yong, Luo Jing, Niu Fu-Jun, Li Wen-Jiao, Wu Xu-Yang, Lin Zhan-Ju. Spatial distribution and zonation characteristics of permafrost ground ice on the Qinghai-Xizang Engineering Corridor, China[J/OL]. Advances in Climate Change Research, 2026, DOI: https://doi.org/10.1016/j.accre.2026.02.005. [Data Set Download URL]

Forbes
Oct 12th, 2023
Antarctica’S Ice Shelves Have Dramatically Shrunk, Study Finds—Here’S Why It Matters

Topline. More than 40% of Antarctica’s ice shelves have shrunk over the past 25 years, a study published Thursday found, as scientists warn they’re losing volume with no sign of recovery because of the effects of human-induced global warming. Nearly half of Antarctica's ice shelves have reduced in volume in the past 25 years, according to a . [+] study published Thursday.Torsten Blackwood - Pool/Getty Key Facts

Technical.ly
Sep 15th, 2023
What Is Geospatial Intelligence? A Geographer Explains The Powerful Melding Of Maps And Data

This is a guest post by Darren Ruddell, associate professor of spatial sciences at University of Southern California. A version of this article is republished from The Conversation via a Creative Commons license. With record-breaking temperatures across the South, smoke from Canadian wildfires across the North, historic flooding in the Northeast and a powerful hurricane in the Southeast, the summer of 2023 has presented a range of threats to the safety of the majority of Americans. The good news, through all of this: Geospatial intelligence has offered valuable insights to help governments and organizations protect communities. Geospatial intelligence is the collection and integration of data from a network of technologies, including satellites, mobile sensors, ground-control stations and aerial images. The data is used to produce real-time maps and simulations to help identify when, where and to what extent a threat is likely to emerge

CleanTechnica
Aug 8th, 2023
Summer Breakout In Northeast Greenland

Summer can be cruel to the planet’s remaining ice. Over the span of just days in July 2023, seasonal warmth led to the rapid disintegration of sea ice near the junction of two large outlet glaciers in northeast Greenland. The two glaciers—Storstrømmen and L. Bistrup Bræ—are visible in this image pair. Storstrømmen is the larger of the two, measuring about 20 kilometers (12 miles) wide and flowing southward. It joins with L