Information Analytics Placement

Information Analytics Placement

Location – Swindon

Contract Type – 13-month FTC

Working Hours – Full time

Closing Date – 27th of October 2024.  Application deadline for this role may close earlier depending on the volume of applications.

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.

• 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.
• Your degree should include a year in industry to meet the requirements of this role.

What we will offer you

• A 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.
• Free access to our on-site gym facilities and classes, free parking (including electric vehicle charging points) and 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 and access to our employee assistance programme in times of need.
• Up to 2 days volunteering a year.

To view a preview of our benefits site ‘YourHub’ and see some of the other benefits we have on offer please visit https://www.edenred.co.uk/campaigns/rwe-yourhub/index.html

Apply with just a few clicks: ad code 87958, application period: 27.10.24. Any questions? Taheeni Soza, Taheeni.soza2@rwe.com

We look forward to meeting you. Of course, you can find us on LinkedIn, Instagram, Youtube, Facebook and Xing, too.

Equal Opportunities

We value diversity and therefore welcome all applications, irrespective of gender, disability, nationality, ethnic and social background, religion and beliefs, age or sexual orientation and identity.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.