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2024 UK Graduate Data Science Career Path

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Mott MacDonald


2mo ago

đź’Ľ Graduate Job

Bristol +1

⌛ Closed
Applications are closed

Graduate Job

Data•Bristol, Cardiff


  • Working as a Data Scientist for our Buildings and Cities (BNC) 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 Geographic Information Systems and Data Science 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 innovative solutions to client’s asset management problems, applying data science and data engineering, including 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.


  • 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. Experience of using a range of analytical techniques.
  • We are looking for a talented, 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
  • Computer Science
  • Software Engineering
  • 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
  • Strong programming skills (Python/R/JavaScript) with exposure to Machine Learning packages such as Tensorflow/Keras, Pytorch or scikit-learn.
  • Cloud platform skills in Azure and/or AWS, MLOps, GitHub
  • 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.
  • As we want the best people for the role, it is available as part time, job share or full time. This is because we recognise that sometimes people are not available full time. Please ask us at interview stage about any flexibility you may need.

Area of Responsibilities



  • 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, including spatial and geostatistical analytics, to large data sets within the asset management domain and across sectors including Buildings and Cities, Transport, Energy, Water and Environment.
  • Partnering with other GIS consultants, data scientists and software engineers to define and develop machine learning and data engineering products on premise or cloud-based platforms.
  • Working with cloud based platforms such as Azure or AWS
  • Implementing MLOps
  • Implementing GitHub
  • 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.
  • Duties to include;
  • Define and develop machine learning products.
  • Define and develop data engineering pipelines.
  • Designing and implementing ETL processes, including spatial ETL.
  • Presenting information using data visualisation techniques.
  • Inspiring self-serve data use by building dashboards and reports to drive awareness and understanding


Work type

Full time

Work mode



Bristol, Cardiff