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Information Analytics Placement

* Location – Swindon

* Contract Type – 13-month FTC

* Working Hours – Full time

* Closing Date – 27.10.24

About the role

Are you interested in a placement with one of the UK’s largest energy producers? Our Gas Asset Management group has an exciting industrial placement opportunity and is looking for a motivated team member with excellent interpersonal skills!

RWE Generation’s Gas Asset Management group supports our portfolio of gas fired power stations across Europe. Our Information & Analytics placement role will allow you to work within this group, focussing on the digital transformation of the business. Members of the team have a leading role in the Digitalisation @ RWE Generation programme, working on a number of “Lighthouse” projects such as Value Based Maintenance (VBM) and Centralised Performance Monitoring (CPM). We embrace our responsibility towards the environment and are committed to continually improving our performance for both generation and the environment.

Your Opportunity

During your placement, you will:

* Be part of the Digitalisation programme, working in Agile Sprints on either the VBM or CPM Lighthouses, developing the digital tools to make the best use of our data and to transform our business.

* Develop your understanding of applying the latest digital tools and analytical techniques to real uses cases to improve business performance.

* Be involved with developing and using data visualisation tools, and developing PI Asset Framework for our power stations.

* Support experienced colleagues in the Generation and IT areas, applying your skills, and learning new ones.

You will attend courses, workshops and on the job training for your personal development.

You may also have the opportunity to spend time with other disciplines across the Asset Management function, learning about the challenges of managing a pan-European portfolio business.

Job Requirements and Experience

Ideally, you are pursuing a degree in Computer Science or Computer Engineering with an interest in analytical methods and the latest visualisation tools, such as Power BI, and programming languages such as Python.

What we will offer you

* An expected starting salary of £23, 628 per annum.

* A personal retirement savings plan – if you put in 5% we will top up by a further 10% and you will get life assurance worth 4 x annual salary.

* 25 days annual leave plus bank holidays, pro-rata.

* One free professional membership subscription.

* Free access to our on-site gym facilities and classes

* Free parking (including electric vehicle charging points)

* Subsidised canteen facilities

* Access to flexible benefits such as Critical Illness, Dental Plan, Health Cash Plan, Share Incentive Plan, Cycle2Work, Electric Car Lease Scheme, Buy Additional Annual Leave and retail savings scheme.

* Occupational Health support services for your wellbeing.

* Access to our employee assistance programme in times of need.

* Up to 2 days volunteering a year