Our mission is to provide innovative services critical to society, unlocking a cleaner, better and more profitable future. Working towards this goal, Volue has become a leading technology supplier and enabler of the green transition, helping energy companies simplify and optimize everyday operations.

Volue Energy is a leading provider of software solutions for forecasting, optimisation, production planning and energy trading. Our current client portfolio includes some of the largest power producers in more than 20 countries and we are expanding to new markets.

As we continue to expand and strengthen our focus on security, Volue Energy Software is looking for an optimisation scientist. As an optimisation scientist you will play a key role in building, maintaining and integrating optimisation solutions in Volue products. An Optimisation Scientist applies mathematical methods to decision problems and keeps up to date with the latest optimisation techniques, algorithms and solvers relevant for the products.

What you will be doing to make a difference:
As an optimisation scientist, you will:
• Build and implement optimisation models in cooperation with internal or external clients and maintain them during their whole lifecycle
• Support clients, consultants, support and sales with detailed knowledge about the abilities and limitations of Volue’s current portfolio of optimisation models
• Identify new application areas for optimisation in line with company strategy
• Stay up to date with latest development and research in field of mathematical optimisation, studies and software to realize value in the project, and shares them with team/organization
• Take part in training and education in optimisation, both internally and externally.
• Work within a development team, distributed across various locations and countries, including other software engineers, architects, UX designers, business- and system-analysts as part of an agile team

What you need to succeed:
• MSc in software development, engineering, or a comparable qualification
• Preferrably holding a PhD in optimisation/operations research or AI
• Excellent knowledge of mathematical optimisation
• Good understanding of other relevant mathematics, like mathematical statistics, operations research and computer science
• Deep experience with optimisation modelling, linear, non-linear and integer programming
• Good software development and version control skills
• Experience with common IDEs and software development tools
• Knows at least one programming language well
• Be a team player and help others without losing focus for your own responsibilities
• Willing to learn modern technologies and gain knowledge of the business domain
• Good communication skills in English (written and spoken)

Reasons to join Volue and what we offer:
• Great colleagues in one of Europe’s most exciting green tech companies with innovative and international work environment
• Key technical role in a company with significant impact in the European energy sector
• Modern technology stack and a collaborative, international work environment
• Comprehensive onboarding and knowledge transfer from experienced optimisation scientists
• Professional development and learning opportunities
• Flexible working hours
• Competitive salary and benefits package
• Company Culture
In Volue, we believe that in order to be a successful company, we need to bring everyone to the table.

We look at diversity as a competitive advantage. A diverse workforce enables better decision-making and creates more value. By inclusion, we refer to the sense of belonging and being part of a community at work. We want the people of Volue to feel welcome, valued and not least encouraged to bring their whole, unique selves to work.

Volue is about people. From staff to client, people are at the center of all our operations, and we always strive for a flat structure where everyone feels included, appreciated and recognized for their individual efforts. Or as we call it "ONE Volue". We hire talented individuals, regardless of gender, race, ethnicity, ancestry, age, disability, sexual orientation, gender identity or expression, cultural background or religious beliefs.