London Enterprise Insights – Leadership / Permanent Employee (PE) / Hybrid
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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 meant digital twins have not been 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 by using digital twins and enterprise metaverses.
Enterprise Insights is a newly formed business unit of 30+ people within Improbable, and with it, there are lots of interesting engineering problems to solve. In this position, you will take on the role of a scientific leader, spearheading the development and implementation of modelling and simulation in our Digital Twin products. You 'll be instrumental in fostering a robust environment focused on mathematical and data-driven modelling within our expanding technical teams, providing both expertise and mentorship. Your responsibilities span a variety of technical domains, primarily Modelling & Simulation, Optimization, and AI.
Your duties also involve recognizing and exploiting opportunities to integrate state-of-the-art Artificial Intelligence and Machine Learning tools across the EI product range. You will contribute to development projects and collaborate closely with technical project teams, facilitating the incorporation of predictive and prescriptive analytics in our offerings. You will be at the forefront of maintaining high standards in modelling and simulation, ensuring our customers gain meaningful insights for effective decision-making and process enhancement.
Scientific Leadership:
Innovation and Development:
Stakeholder Engagement:
Why you're made for this:
Proven commercial experience, ideally in a startup environment
Proven experience in digital twin technology, AI, and machine learning, preferably with some exposure to logistics or supply chain management
Excellent communication and collaboration abilities
Demonstrated history of innovation in relevant fields
PhD in Computer Science, Statistics, Mathematics, Engineering, or a related field
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.
Life at Improbable
Diversity, inclusion, and belonging
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