2024 UK Graduate Data Science Career Path

Mott MacDonald

Feb 23

Applications are closed

Job
Full-time
Entry Level
Data
Bristol, +1

Requirements

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.

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

Mott MacDonald

Opening opportunities with connected thinking.

Engineering & Construction

Industry

10,001+

Employees

1902

Founded Year

Mission & Purpose

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. Partnering with our clients, we are solving the world's most intricate challenges. We search out the connections others fail to make, to unlock creativity and deliver better outcomes for the lives we touch every day.