2020 UK Graduate Data Scientist

Mott MacDonald

Fleet Place, London

Apply

Before you apply - don't miss out!

Subscribe to our weekly job alert

By registering you agree to our terms & conditions and privacy policy.

You can unsubscribe anytime using the link in the bottom of the email.

You will receive an email asking you to confirm your subscription

What will you be getting up to?

Working as a Data Scientist for our Smart Infrastructure business, you will join our growing software development team to deliver leading-edge solutions to our clients from various industries. By working together, 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.

You will support the implementation of our Moata platform, working across our technology stack, but mostly within our middle analytics tier.

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. Within the scope of the projects delivered, you may be responsible for any number of these elements:

  • Partnering with software engineers to define and develop machine learning products on our platform.
  • Designing and implementing ETL processes.
  • Applying AI and advanced analytics to large data sets within the 6 sectors of Mott MacDonald.
  • Presenting information using data visualisation techniques.
  • Inspiring self-serve data use by building dashboards and reports to drive awareness and understanding

‘Motts provides a rare opportunity to work in a multi-disciplinary team to innovatively solve the most challenging engineering problems with data science and machine learning’ - Quy Vu

Candidate Specification

We are looking for flexible and motivated graduates with a genuine passion for Data Science, 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 achieved a 2:1 or above in one of the following degree disciplines:

  • Data Science
  • Mathematics
  • Statistics
  • Machine Learning

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.
  • Good understanding of statistics.
  • Strong Python Skills.
  • In-depth understanding of machine learning.

Equality, diversity and inclusion:

Equality, diversity, and inclusion (EDI) are at the heart of our organisation. We promote equal opportunities and have several initiatives to create an inclusive workplace culture; Our dedicated inclusive recruitment page provides more information on our efforts and recognitions.

** Application deadline is the 10 November 2019 **


Apply

Before you apply - don't miss out!

Subscribe to our weekly job alert

By registering you agree to our terms & conditions and privacy policy.

You can unsubscribe anytime using the link in the bottom of the email.

You will receive an email asking you to confirm your subscription

Not what you're looking for?

Use our search to find your ideal career opportunity

Search term is required
No jobs were found
Total of [[ totalJobs ]] jobs were found

[[ jobs.name ]]

[[ jobs.location ]]
[[ jobs.salary_min|decimals ]] - [[ jobs.salary_max|decimals ]]
[[ jobs.posted_time_friendly ]]

Featured Jobs

IST Austria

Klosterneuburg, Austria

October 31, 2019

University of Bristol

Bristol, UK

October 30, 2019

Natural Resources Wales

October 20, 2019

Forest Research

Edinburgh, Scotland

November 03, 2019

The National Audit Office

London SW1

December 01, 2019

Booking.com

Manchester, UK

November 09, 2019

The Francis Crick Institute

1 Midland Road, London

October 22, 2019

University of Wollongong

Wollongong

November 03, 2019

Civil Service Fast Stream

October 23, 2019

Civil Service Fast Stream

October 23, 2019

Natural Resources Wales

October 20, 2019

Competition and Market Authority

Canary Wharf, London

November 04, 2019

BAE Systems

Warton, Preston, UK

November 09, 2019

UCLA

Los Angeles, CA

October 17, 2019

Tui

Luton, UK

November 09, 2019

Civil Service Fast Stream

October 23, 2019

Nuffield Department of Medicine

Oxford, UK

November 11, 2019

Our Partners

Logo for Dstl
Logo for Prifysgol
Logo for Bank Of England
Logo for Cma
Logo for Frontier
Logo for Logo
Logo for Mit Logo

Like what you see?

Post a job