Thesis and job opportunities

Silvere combines forestry with cutting-edge technology and precise data analytics to make forest management smarter. Now Silvere is looking for a Data Analyst Trainee to join their Forest Data Science team. If you want to work with modern forest management and learn from experienced colleagues, read more and apply by 1st of July!
Silvere: Data Analyst Trainee

Type: 4-6 months trainee period, preferably full-time, part-time negotiable (possibility to discuss about continuation after trainee period)
Preferred background: End of studies – graduated
Work hours: 38 hours per week (flexible)
Starting date: As soon as possible, negotiable
Location: Pieni Roobertinkatu 9, 00130 Helsinki
Application deadline: 1.7.2019

Forestry value chain plays a significant role in the global economy and will have an important role in the fight against climate change and ensuring a high level of biodiversity. Yet over the last 100 years, decision-making in forestry has been largely based on rough estimates and averages. Silvere changes the game by bringing unforeseen practices to the field of forestry. By utilizing the latest technologies including robotics, 3D imaging, big data and advanced analytics, Silvere has redefined forest management and made it possible to analyze and plan the forest at the accuracy of an individual tree as well as automate every aspect of managing the forests.

Silvere is looking for a Data Analyst Trainee to join their industry changing forest data science team of highly talented people! This is a unique growth opportunity for a junior, who wants to kick-start her/his career in forestry industry and data analytics. At the beginning, you get to develop your skills with GIS in stand delineation tasks, and in the long run you have the chance to strengthen your skills in forest planning simulation and optimization.

The ideal candidate for this role has a hands-on attitude towards work and motivation to develop new approaches for forest industry. In this position it is also important to understand the needs of forest industry customers, so previous work experience from the field helps you to succeed as a Data Analyst Trainee. Silvere is preferably looking for someone who can work full-time, but the work times can also be flexible, if you still have some studies left.

Requirements for the applicant:
– Relevant study background from university (preferably forestry related courses included in studies)
– Knowledge of GIS (QGIS)
– Basic data analytic skills with Python or R
– Theoretical understanding of remote sensing technology
– Proficiency in English, Finnish skills are seen as an advantage
– In addition, previous work experience (e.g. summer job) from forest management planning, GIS or signal processing projects are seen as an advantage

What does Silvere offer you?

This trainee position offers you an exceptional opportunity to be a part of a team changing the forestry industry. You will get to work with talented colleagues and learn from the best technology experts. You get to put all your knowledge in use and challenge yourself with interesting tasks while working with the newest technologies and inventions in the area of robotics, 3D imaging, big data and advanced analytics. In addition, at the end of the trainee period it is possible to discuss about future job opportunities at Silvere, since Silvere’s team is hoping to find future talents to grow and develop in their team. As a nice bonus, the modern work facilities are in a convenient location in Helsinki city center.

Got interested? Please send your CV and a short application letter in pdf-format to as soon as possible, but at the latest 1st of July 2019. Please include in your application documents also the copies of your latest university study transcripts. We might proceed with suitable applicants already during the application period. In this position you will be employed directly to Silvere.

For more information about the company, take a look at For more information about the recruitment process contact aTalent’s Recruitment Manager Laura Isosomppi (+358 44 55 777 37, laura.isosomppi[at]