Software engineering intern / Working student / Master thesis

Nabin Raj Gaihre
Work with TFE Energy
3 min readFeb 1, 2021

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About us

Village Data Analytics (VIDA) sets out to make economic development in Africa and Asia much more effective by applying the best data technology available. Specifically, we solve the problem of energy access planning in remote regions. We do that by using satellite imagery and on-ground data to give our customer’s decision-making insights into rural communities. Our team includes software and AI engineers as well as rural market experts.

VIDA is supported by appliedAI, Germany’s largest AI initiative, and by the European Space Agency (ESA).

Learn more at: www.villagedata.io

Location: Anywhere. You can choose to work from our office in Munich or Capetown.

Responsibilities

  • Support VIDA’s data-science team to deliver projects. Our clients include The World Bank, government agencies, USAID, electricity companies, etc.
  • Support the VIDA’s data-science team in the collection, cleaning and analysis of data. We heavily rely on libraries in Python, geospatial data analysis tools and database management scripts.
  • Interact closely with the VIDA’s product development team. This includes integrating new libraries into the projects and providing feedback to the product development team.
  • Create reports with the main findings of your analysis and present them to the local team and external stakeholders.
  • Meet project deadlines and communicate professionally with the international clients supporting the development of VIDA.
  • Contribute to other TFE projects.
  • Be interested, agile and passionate about changing lives.

Your profile

  • Student of Computer Science, Engineering, STEM or similar
  • Past experience in data analysis as a working student/internship/ professional is preferred.
  • Demonstrable experience with programming languages like Python (most important), C++, Scala, TypeScript etc.
  • Experience with relational databases such as MySQL, PostgreSQL, etc. a plus
  • Experience in writing scalable, production-ready code and CI/CD.
  • Experience in analysing geo-tagged datasets is a plus.
  • Strong analytical and problem-solving skills, as well as good communication skills.
  • Team player with the ability to learn new things quickly (we operate at the cutting edge).
  • Fluent in English.
  • We encourage female candidates and candidates from the areas we work in (Sub Saharan Africa, South, and Southeast Asia) to apply.

What we offer

  • Opportunity to work in a diverse team to build a highly impactful and innovative product at the intersection of the hottest topics in technology and social impact. The team includes both experienced AI practitioners, as well as frontier market entrepreneurs with backgrounds in engineering, renewable energy, and finance.
  • A culture of diversity and inclusion with team members from 8 countries, speaking 9 different languages, that bring in a variety of professional and personal experiences to empathise with the work we do.
  • Open atmosphere that encourages the team to think and experiment in new ways with software and hardware.
  • Responsibility and access to our project partners.
  • Quick turnaround times make for a thrilling work environment.
  • Your initial engagement could lead to a full-time position.
  • A small, collaborative development team where your ideas, insights and decisions have a lot of weight and help steer the product in the right direction.
  • Opportunity to work remotely: 50% of our VIDA team works remotely from countries such as India, Sweden and UK. We pride ourselves on working-hours flexibility to respect time differences and on our systems to stay connected.
  • If based in Munich, option to work from our Cape Town office for some time. The opportunity to travel for work in several countries in Sub-Saharan Africa post COVID-19.

Sounds interesting? Then please send your application — CV and a short motivational letter with details about your ability to program (examples, links or git repos) to nabin.gaihre@villagedata.io. We look forward to hearing from you!

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