Investment Management

Green Value Management

1-10

Germany

We are a leading asset management firm specializing in forest investments, managing over 70,000 hectares of forestland. With deep industry expertise and a vast network, we are recognized as leaders in the forestry sector.

In 2023, we launched our spin-off company, Ovis Analytics GmbH, with a clear mission: to drive sustainable forestry through cutting-edge data analytics and artificial intelligence. By combining innovative technology with modern forestry methods, we aim to transform the industry.

This is your opportunity to join a groundbreaking initiative that brings transparency to natural capital investments. With unique intellectual property, a secured first customer, and a vision to shape the future of forestry, we offer an unparalleled chance to make a meaningful impact on the industry and the environment.

## Tasks

*   Collect and analyze geospatial image data (satellite, lidar) from various regions
*   Use ArcGIS to segment various land uses clusters
*   Develop methods to continously improve data analysis and validation

## Requirements

*   Currently enrolled (B.Sc. / M.Sc.) in studies such as geography, agriculture, forestry or similar
*   First experiences in using GIS software (e.g., ArcGIS, QGIS)
*   Strong analytical skills and experience in analyzing data
*   Excellent communication skills and a true team player
*   Interest in forestry and remote sensing technology
*   Excellent German and English communication skills (B2 and higher preferred)

## Benefits

*   Competitive compensation starting at €15/hour and flexible work hours
*   Dynamic, fast-paced environment in an innovative company
*   Insights in various projects, geographies and technologies
*   A motivated team, excellent feedback, and enthusistic co-workers

PS: We do not require a cover letter, but you are highly encouraged to submit a 250-300 words self-introduction, if you would like to highlight any points that we cannot infer from your CV.

Working student

<p>We are a leading asset management firm specializing in forest investments, managing over 70,000 hectares of forestland. With deep industry expertise and a vast network, we are recognized as leaders in the forestry sector.</p>
<p>In 2023, we launched our spin-off company, Ovis Analytics GmbH, with a clear mission: to drive sustainable forestry through cutting-edge data analytics and artificial intelligence. By combining innovative technology with modern forestry methods, we aim to transform the industry.</p>
<p>This is your opportunity to join a groundbreaking initiative that brings transparency to natural capital investments. With unique intellectual property, a secured first customer, and a vision to shape the future of forestry, we offer an unparalleled chance to make a meaningful impact on the industry and the environment.</p>
<h2 id="tasks">Tasks</h2>
<ul>
<li>Collect and analyze geospatial image data (satellite, lidar) from various regions</li>
<li>Use ArcGIS to segment various land uses clusters</li>
<li>Develop methods to continously improve data analysis and validation</li>
</ul>
<h2 id="requirements">Requirements</h2>
<ul>
<li>Currently enrolled (B.Sc. / M.Sc.) in studies such as geography, agriculture, forestry or similar</li>
<li>First experiences in using GIS software (e.g., ArcGIS, QGIS)</li>
<li>Strong analytical skills and experience in analyzing data</li>
<li>Excellent communication skills and a true team player</li>
<li>Interest in forestry and remote sensing technology</li>
<li>Excellent German and English communication skills (B2 and higher preferred)</li>
</ul>
<h2 id="benefits">Benefits</h2>
<ul>
<li>Competitive compensation starting at €15/hour and flexible work hours</li>
<li>Dynamic, fast-paced environment in an innovative company</li>
<li>Insights in various projects, geographies and technologies</li>
<li>A motivated team, excellent feedback, and enthusistic co-workers</li>
</ul>
<p>PS: We do not require a cover letter, but you are highly encouraged to submit a 250-300 words self-introduction, if you would like to highlight any points that we cannot infer from your CV.</p>


Working Student - Data Annotator

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