|Job Type:||Full Time|
Mott MacDonald is a uniquely diverse £1.8 billion employee-owned, engineering, management and development consultancy serving the public and private sector around the world. We are looking for a highly motivated individual to become the Head of Data Science within our Digital Ventures Unit. The preferred home office location is London, however we are happy to consider applicants from any UK location. Periods of travel are expected to be able to support the global business; working to a 'new normal' inclusive of home-working flexibility.
We help our clients put information at the heart of what they do and derive ever greater value from it. Our focus is the provision of outcome focused, game-changing results. This is powered by a unique combination of domain experience plus digital expertise, harnessing 120 years of engineering legacy alongside the power of cutting-edge technology, from both Mott MacDonald and our partners. By 'connecting innovation to outcomes' we can continue to modernise the planning, delivery, and operation of our client's infrastructure - driving enhanced social and environmental outcomes.
Working as a Head of Data Science within our Moata business, you will join our growing software development team to deliver leading-edge solutions to our clients from various industries. You will lead a team to solve complex problems and develop innovative solutions in the field of physical and digital infrastructure through the application of data science.
You will play a pivotal role in planning, executing and delivering machine learning-based projects. The bulk of the data science team's work is in machine learning (ML) modelling, management and problem analysis, data exploration and preparation, data collection, integration, and operationalisation.
You will also fulfil the role of Global Discipline Leader for Data Science, shaping and forming a global community, enhancing the fusion between the engineering domain and cutting-edge data science. You will be a key interface between the Moata data analytics team and the wider business units, as well as central IT.
Candidates must be self-driven, ready to lead, curious, creative and passionate about improving societal outcomes through enhancing infrastructure delivery and operation.