Spatial Data Scientist Intern
il y a 4 semaines
Valhko, a consultancy start-up dedicated to promoting sustainable development and fostering positive environmental impact, is seeking a talented intern to join our team and contribute to our mission. As part of our commitment to innovation, we are offering a 2-month internship opportunity for a Spatial Data Scientist with a focus on Climate-related Risks, Opportunities and Resilience Modeling in the context of Africa.
Responsibilities:- Collaborate with the team to develop physical risk and resilience models for different regions in Africa using open-source tools, geospatial data, and AI models.
- Assist in identifying and evaluating climate-related hazards, such as drought and flood risks, that could impact various sectors in African countries, utilizing geospatial data, climate data, and other relevant sources.
- Contribute to vulnerability assessments of different sectors to climate-related hazards by analyzing geospatial data, sector-specific characteristics, and climate projections.
- Support the team in gathering and organizing geospatial data, conducting data preprocessing, and ensuring data quality for AI model training and analysis.
- Assist in applying statistical analysis, geospatial modeling techniques, and AI models to enhance data collection processes, automate data extraction, and derive actionable insights.
- Contribute to the preparation of written reports, presentations, and visualizations to communicate research findings, methodologies, and recommendations, highlighting the role of AI models in supporting sustainable investments.
- Collaborate with team members and participate in discussions to provide insights, share progress, and propose innovative solutions that leverage AI models for data-driven decision-making.
- Stay updated on the latest advancements in geospatial analysis, AI models, climate risk modeling, and resilience strategies by conducting literature reviews and attending relevant webinars or conferences.
- Support the team in other related tasks as required.
- Currently pursuing a bachelor's or master's degree in spatial data science, geography, environmental science, or a related field. Recent graduates may also be considered.
- Strong interest in geospatial analysis, AI models, climate-related risks, and their impact on various sectors in Africa.
- Knowledge of geospatial tools and software, such as Geographic Information Systems (GIS), remote sensing software, and programming languages (e.g., Python, R), is desirable.
- Familiarity with geospatial data sources, AI model training, and basic data preprocessing techniques.
- Strong analytical and problem-solving skills to contribute to research, modeling, and AI model implementation activities.
- Excellent written and verbal communication skills to effectively convey ideas, discuss AI model applications, and contribute to team discussions.
- Ability to work independently and as part of a team, manage time efficiently, and meet deadlines.
- Enthusiasm for learning and a proactive attitude toward acquiring new skills and knowledge in the realm of geospatial analysis and AI models.
- Passion for sustainable investments, climate resilience, and making a positive impact on communities in Africa.
- Language: English and French
- Location: France, Remote
- Hands-on experience working on real-world projects in the sustainable investments domain.
- Opportunity to collaborate with a diverse team of experts and professionals.
- Mentorship and guidance from experienced industry leaders.
- Exposure to cutting-edge AI technologies and methodologies.
- Networking opportunities within the industry.
To apply for this internship position, please submit the following documents:
- Updated resume highlighting your relevant experience and educational background.
- A brief cover letter explaining your interest in sustainable investments and AI modeling.
- Any relevant code samples or projects demonstrating your programming and data analysis skills.
Please email your application to jhnkeng@valhko.com. We will review applications on a rolling basis and contact shortlisted candidates for interviews.
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