Siemens

Data and Performance Summer Intern (3 Months)

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Job Location

Southampton, United Kingdom

Job Description

'Better' Starts Here

Salary: £23,400 Per Annum

Location: Southampton

Duration: 3 Months

Are you an ambitious undergraduate looking for a unique intern programme?

Join Siemens over the summer and see for yourself how we can give you fantastic work experience compacted into 3 exciting months! Could this be the next step in your journey towards your career? If yes, then Siemens Mobility is the place for you!

This is your opportunity to understand how our work impacts everyday life across the globe, and you could be at the heart of that work. From seeing how a line of code evolves into a solution used worldwide, to exploring the breadth and depth of our diverse transport projects, build your skills with us and help create a better #TomorrowWithUs.

Siemens Mobility plays a key role in addressing global transportation challenges by partnering with railway operators to enhance reliability and availability. By integrating cutting-edge technology, Siemens improves the efficiency and safety of rail networks, ensuring reliable and secure transportation solutions.

As an intern in the Fleet Performance Team, you'll work directly with data from the Class 444 and 450 Desiro Classic fleets. You'll collaborate with the team to collect, clean, and analyse performance data, using Power BI to create dashboards that track key performance indicators (KPIs). Your responsibilities will include identifying trends, detecting anomalies, and uncovering opportunities for improvement. Additionally, you'll help prepare reports and presentations to communicate insights to key stakeholders and assist with ad hoc analyses to support fleet optimisation. By participating in team discussions, you'll contribute to efforts to enhance fleet performance and reliability, gaining practical, industry-relevant experience.

Define the Future of Transportation

Embark on your journey with us whilst learning from industry experts. By the end of your 3 months with us you will have developed your knowledge, learned from industry experts and built your professional network ready for whatever you do next.

  • Collaborate with the performance team to collect, clean, and analyse data from the Class 444 and 450 fleets.
  • Develop and maintain Power BI dashboards to track key performance indicators (KPIs) and operational metrics.
  • Identify trends, anomalies, and opportunities for improvement within fleet performance data.
  • Assist in the creation of reports and presentations to communicate insights to stakeholders.
  • Support the team in ad hoc analysis and data-related tasks to optimize fleet efficiency and reliability.
  • Participate in team meetings and contribute to performance improvement discussions.
Essential Skills and Attributes;

We are seeking innovative and inquisitive candidates that demonstrate the following;

  • Achieved or be on track to achieve a 2:2 or above in data science related degree
  • Logical thinking, willing to self-learn and research, and take a creative approach to problem solving
  • Ability to work independently, safely and responsibly; take ownership of challenges and ideas and are looking to develop your ability to drive and lead change
  • Enjoy collaborating with others to find innovative solutions
Your Journey Starts Here

We know that not everyone's lifestyle is the same, so we operate a flexible benefits scheme where you can tailor your benefits package to suit.

We value your unique identity and perspective and are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. Come bring your authentic self and create a better tomorrow with us!

If you are a woman and cannot find jobs within engineering at Siemens that match your location or skill set why not join our talent community. While you're at it, why not set up job alerts to be notified of these fantastic opportunities when they become available!

Location: Southampton, GB

Posted Date: 11/15/2024
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Siemens

Posted

November 15, 2024
UID: 4902866720

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