At Improbable, we want to help businesses navigate the increasingly more complex and intertwined world. Enterprise metaverses break down the organisational and technical siloes that have prevented digital twins being fully exploitable by the broader business. They empower entire companies to continually optimise and prepare for the future by providing a digital representation that can be visualised, analysed, explored and experimented upon. We use enterprise metaverses to empower businesses to effectively explore future scenarios and respond to change and disruption more effectively using digital twins and enterprise metaverses.
Enterprise Insights is a newly formed business unit of 30+ people within Improbable. You will be surrounded by people who want to improve everything and everyone around them, and who compel you to improve yourself. We’re motivated by the fulfilment of solving hard problems to achieve something profound and transformative.
We are seeking a Principal Model Engineer to join our modelling team which develops the models and simulations used in our digital twins. You'll provide technical leadership to a multidisciplinary team of scientists, modellers, and software engineers, collaborating closely with our product team to take modelling to the next level.
This role is available as hybrid or in-office. We have a great office space in Spitalfields in London but are equally happy if you'd prefer to work from home, some of the time. We are
'Flexa' certified, meaning our entire employee experience is anchored around flexibility and autonomy.
While we think the above experience could be important, we’re keen to hear from people that believe they have valuable experience to bring to the role. If you identify with the team and mission, but not all of our requirements, then please still apply.
About Us
Improbable is determined to foster an environment where people can do their best work and feel like they belong. We believe a healthy culture, strong values and contribution from a diverse range of individuals will help us to achieve success.
We do not discriminate based on race, ethnicity, gender, ancestry, national origin, religion, sex, sexual orientation, gender identity, age disability, veteran status, genetic information, marital status or any other legally protected status.