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We’re a global engineering, management and development consultancy. Our purpose is to improve society by considering social outcomes in everything we do, relentlessly focusing on excellence and digital innovation, transforming our clients’ businesses, our communities and employee opportunities. A fundamental part of this is respecting each person’s differences and striving to meet their needs.

The Role

We have two different teams within this career path;

Buildings 

(Altrincham, Birmingham and Bristol)

Working as a Data Scientist for our Buildings and Infrastructure (BNI) business, you will join our growing digital solutions team to deliver leading-edge digital solutions to our clients from various industries. By working together, you will help solve complex problems and develop innovative data-driven analytics and solutions in the field of physical and digital infrastructure, all through the application of data science.

You will join an enthusiastic and diverse team of data scientists and Geographic Information Systems professionals passionate about data, location intelligence, analytics and powerful visualisation of the results. Through connected thinking and collaboration with colleagues across the Mott MacDonald organisation internationally you will be part of the wider team of data scientist, software engineers, solution architects, and engineers focusing on excellence and digital innovation.

You will support development of innovating solutions to client’s asset management problems, applying data-science, and specifically machine learning/deep learning and computer vision as well as analysing a broad range of spatial and non-spatial information within the public domain including openly available data, websites, new feeds, connecting to data stream through web services and APIs.

As a Data Scientist you will have a chance to work with and learn from the other members of our team. Within the scope of the projects delivered, you may be responsible for any number of these elements:

  • Applying AI and advanced analytics to large data sets within the asset management domain.
  • Partnering with other data scientists, software engineers and GIS consultants to define and develop machine learning products on premise or cloud-based platforms.
  • Designing and implementing ETL processes.
  • Presenting information using data visualisation techniques.
  • Inspiring self-serve data use by building dashboards and reports to drive awareness and understanding.

Ideal candidate

  • Experience developing/implementing real-time computer vision algorithms on GPU will be advantageous as well as experience with a version control system such as Git to collaborate and manage a large codebase, ability to create fully reproducible and documented results with machine learning using principles like data versioning. Familiarity with using linux shell, and SSH for remote code deployment would also be beneficial.

Energy

(Brighton)

Working as a Data Scientist for our digital team, you will play a key part in delivering leading-edge solutions to clients across our energy business. By working together with likeminded people across our networks, you will help solve complex problems and develop innovative solutions in the field of physical and digital infrastructure, all through the application of data science.

As part of the energy unit digital team you will work closely with experts from our business domains and across a range of services to find innovative solutions to challenges faced by our teams or by our clients.
As a Data Scientist you will have a chance to work with and learn from the other members of our team, including software engineers, data scientists, solution architects, and engineers. Duties to include;

  • Partnering with software engineers to define and develop machine learning products.
  • Designing and implementing ETL processes.
  • Applying AI and advanced analytics to large data sets within the Mott MacDonald’s energy sector.
  • Presenting information using data visualisation techniques.
  • Inspiring self-serve data use by building dashboards and reports to drive awareness and understanding

On the application form please confirm if you would like to apply for the Buildings or Energy role under this question - Please explain your motivation for applying for this position.

What you'll need

We are looking for flexible and motivated graduates with a genuine passion and a desire to make a difference in the world. If this describes you, apply today to launch your career at Mott MacDonald.

To apply for this scheme, you will have less than 12 months experience and have a degree or are expected to achieve one of the following degree disciplines:

  • Data Science
  • Mathematics
  • Statistics
  • Machine Learning

In your application you should be able to demonstrate your interest through relevant experience, such as studying relevant modules, or previous work experience.

We are looking for graduates with the following characteristics:

  • Methodical approach to problem solving
  • Ability to use your initiative to undertake tasks efficiently and independently.
  • Excellent verbal communication skills, which allow you to confidently liaise with clients and team members.
  • Excellent written communication and attention to detail and be able to demonstrate accurate technical drawings and good report writing.
  • Strong programming skills (Python/R) with exposure to Machine Learning packages such as Tensorflow/Keras, Pytorch or scikit-learn.

Benefits

  • Biannual salary reviews: we believe that hard work should be rewarded and recognised. Therefore, for the first three years of your career with us, you’ll have biannual salary reviews.
  • A competitive salary: in addition to biannual reviews, we will ensure that you’re given a salary that matches the current industry standard.
  • Contributory pension up to 7% of your salary: we have the best people on our team, and we like to look out for them. With our support, you’ll have all the advice and options you need to be able to invest in your future.
  • A flexible benefits scheme: our company is made up of a range of different people and we understand that different people want different things. That’s why with our flexible plan, you’ll have the ability to manage the range of benefits we have on offer, to suit your specific needs.

Equality, diversity and inclusion

We put equality, diversity and inclusion at the heart of our business, seeking to promote fair employment procedures and practices to ensure equal opportunities for all. We encourage individual expression in our workplace and are committed to creating an inclusive environment where everyone feels they have the opportunity to contribute.
If you have a disability and would prefer to apply in a different format or would like us to make reasonable adjustments to enable you to apply or attend an interview, please contact us at reasonable.adjustments@mottmac.com and we will talk to you about how to help.