Developer / Data Science Internship (12 Months)

Developer / Data Science Internship (12 Months) Hebburn, England

Siemens Healthineers
Full Time Hebburn, England 10.56 - 12.04 GBP Today
Job description

Are you a forward-thinking and aspiring undergraduate ready to take your next steps in the world of Development / Data Science? Could this be the next exciting step on your journey to your career? If yes, start your year in industry with us at Siemens!

This is your chance to learn about how our work impacts everyday life across the world and you could be there at the centre of that work. From learning how a line of code develops into millions of downloads, to exploring the depths and heights of our varying energy projects, build your skills and see how you can be here with us, shaping the future.

Siemens Smart Infrastructure intelligently connects energy systems, buildings and industries to adapt and evolve the way we live and work - our goal is to create environments that care.

We in Smart Infrastructure focus our expertise on helping our grid operator customers supply power, safely and reliably to homes, buildings and industry. New challenges our customers face revolve around the increased adoption of distributed energy systems, the integration of renewable energy sources, an ageing grid infrastructure and a fast-changing landscape of cyber threats.

Through energy automation and smart grid solutions, we provide future-proof products, solutions and digital services that evolve with our changing world.

The Challenge

Embark on your 12-month placement with us whilst taking part in our fantastic Intern Development Programme. We will create an individual training plan to help you develop the specific skills and knowledge required for your role. By the end of it, you will be set up with the best knowledge and hands-on experience to equip you for your professional career in Development / Data Science.

Here is a taste of what you can expect:

  • Team working with the Digital Hub team
  • Participation / lead with user requirement workshops
  • Translating user stories into requirements
  • Prioritisation of feature development into Minimal Viable Product sprints
  • Implement and test new features
  • Present new features and dashboards to senior stakeholders
  • Support users with training on how to use developed tools

Entry Requirements

We are looking for forward thinking, innovative and inquisitive candidates that demonstrate the following:
  • Studying towards a 2:2 or above in Computer Science or related degree
  • Coding skills - preferably with experience of SQL Server
  • This role will be a combination of home working and attending our office in Hebburn so you must be able to commute to the office regularly.
What else do I need to know?

Alongside your role, the Intern Development Programme will teach softer skills such as communication, teamwork, commercial awareness, digitalisation and innovation. We also offer plenty of opportunity to develop your career whilst offering a competitive salary and an excellent benefits package.

We’re looking for forward-thinking teammates with the aptitude and attitude to succeed in the world of Siemens. Think this is you? Apply now.

If we all thought the same, we would never think of anything new. That’s why we recruit great minds from all walks of life. We embrace diversity and create what’s right for the world by employing the people who live in it.

Siemens recognise that building a diverse workforce is critical to the success of our business. We strongly encourage applications from a diverse talent pool and welcome the opportunity to discuss flexibility requirements and workplace adjustments with all our applicants to encourage agile working and innovation.


Organization:
Smart Infrastructure

Company: Siemens plc

Experience Level: not defined

Full / Part time: Full-time

Developer / Data Science Internship (12 Months)
Siemens Healthineers

www.healthcare.siemens.co.uk
Camberley, United Kingdom
Bernd Montag
$10+ billion (USD)
10000+ Employees
Company - Public
Biotechnology
1847
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