Data Scientist Degree Apprenticeship (Advisory, Data and Decision Science Team)

As a Data Scientist Degree Apprentice in our Advisory, Data and Decision Science Team no two days will be the same. During your time as an Apprentice you can expect to develop tools using software such as Python, study applications of statistical techniques and use data and analytical techniques to measure and monitor the impact of projects across the entire asset lifecycle.

Training:
You will attend university to study a Data Science degree apprenticeship and gain a bachelors qualification, as well as completing your End Point Assessment with the education provider. You will be enrolled onto a bespoke internal development programme to help you to attain the knowledge, skills and behaviours to successfully achieve your apprenticeship, and support your career in Data Science.  You will have the support of your team, line manager, mentor and buddy as well as a dedicated early careers team

Training Outcome:
You will gain a Data Scientist degree apprenticeship with a bachelors' qualification. as well as completing your End Point Assessment. As this is a permanent position, after gaining your degree, WSP will continue to be committed to your learning and development throughout your career with us. You will have the opportunity to continue professional development and work towards gaining Chartered status or equivalent with your chosen institution, as well as the opportunity to pursue your further study and training goals

Employer Description:
As one of the world’s leading engineering consultancy firms, at WSP we’re passionate about the big questions, and big answers, naturally. For us that’s all about reaching beyond the expected to do work that’ll make a profound impact felt long into the future. We engineer projects that will help societies grow for lifetimes to come. We’ve been involved in many high-profile projects like The Shard, Crossrail, M1 Smart Motorway and the London Olympic & Paralympic Route Network.

Working Hours :
Monday to Friday, 37.5 hours per week. Exact working hours to be agreed.

Skills:
Communication skills,IT skills,Attention to detail,Organisation skills,Problem solving skills,Logical,Team working