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Data Scientist / Full Stack Developer

Poziții disponibile: O poziție
Inginerie & Informație tehnologică



Arcadis is the leading global Design & Consultancy firm for natural and built assets. We are 27,000 people, active in over 70 countries that generate €3.3 billion in revenues.

Our specialists are using the latest software solutions for computer aided engineering and computer aided design in order to provide the highest quality services, varying from 2D drafting and 3D modelling to computing and Building Information Modeling.


GEC (Global Excellence Center) Romania

·       More than 20 years experience in design and engineering;

·       Active in several domains in multi-disciplinary projects, with 4 major Business Lines – Buildings, Infrastructure, Water and Environment;

·       Major focus on Digital, in the fields like BIM, Digital Twin, Data analytics and automation.


Job purpose:


Assets can be defined as any resource that will create value to the business. Arcadis is top in creating, managing and maintaining physical assets (railway, road, buildings, heavy – infra, environmental polluted sites, water related structures,  etc.), human, and intangible assets (software, data etc.). You will join our Digital Team in Arcadis Iasi office and work together to improve the performance and safety of the assets with maximum return and improved utilization for the benefit of society and the environment.


Your role will include, but is not limited to:


      Optimization, modelling and analysis of assets;

      Examining raw data with the purpose of drawing conclusions about the information;

      Performing complex data analytics in an open source environment by using (statistical) programming language and machine learning;

      Automation of engineering processes by developing specific workflows, scripts and tools

      Improving data management by using quantitative and qualitative techniques;

      Adopt a “minimum viable product” mentality;

      Data modelling and visualization;

      Quality-control focus.




You can be our newest data science superhero, here are the key assets that would make you the best person for this position!




      University degree in Computer Science, Mathematics, Physics, Statistics or related field;

      Knowledge of programming language (Python with Tensorflow, PyTorch);

      Deep understanding or experience with data science: computer vision and machine learning;

      Ability to embrace “big data” challenges;

      Enjoying discovering and solving problems;

      Result-oriented, accuracy and details focus;

      Strong analytics skills;

      Strong English language.


Nice to have:

      Point Cloud/LiDAR experience

      Familiar with CloudCompare and LAStools

      Other programming languages: C#, Java, R,

      HTML, CSS, Javascript

      Knowledge of Visualisation tools (Power BI, Tableau etc.);

      Any other European language knowledge;

      Expertise with data handling (SQL).


Key attributes:


      Great interpersonal skills (team player, eager to learn, supportive attitude, open to feedback);

      Availability to work abroad (Continental Europe) for some periods.



Why should you become an Arcadian?


We want to make our workplace cozier and your life more enjoyable, which is why we will provide perks and benefits, some based on your preferences:


      Health Benefits Package - for you and someone you care for;

      Wellness programs (sport tickets and workshops);

      Flexible working schedule (starting hours & work from home in certain situations)

      Growth opportunities according to a clearly defined career path;

      Travel opportunities, global activities & rewards;

      Easter & Christmas & Travel & Meal tickets;

      Employee discounts at our partners;

      Retirement savings plans;

      Bonus for referring a friend;

      Christmas parties & team buildings;

      Workplace Events:  Fruit Day, Friday Fun, Employee of the Month and lots of other surprises you will discover.




If you want to be challenged, please apply at

Data Scientist / Full Stack Developer

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