Data Scientist Internship (m/f/d)

Job description

Create a better #TomorrowWithUs

At Siemens, we believe that technology with purpose has the potential to solve the greatest challenges of our time. With over 300 thousand of the world’s most brilliant minds and the power of a presence in more than 190 countries, we make a truly global impact.

At the Lisbon Tech Hub, we drive change in our businesses and services, from Portugal to the world, in areas such as Cybersecurity, Software Development and Testing, Big Data, Artificial Intelligence, Cloud, and many more.

With around a decade of history, the Lisbon Tech Hub is the home of the new technologists – Dream Builders, Impact Creators & Future Makers.

Are you one of them? Join us!

About Siemens Technology Department

Siemens Technology is the central in-house research unit at Siemens and as such occupies an outstanding position within Siemens' R&D facilities. It acts as a strategic partner to support Siemens’ business units with R&D services, protects the company’s intellectual property, coordinates the collaboration with top universities worldwide, and supports standardization activities in all business units and regions. Through its R&D activities in Germany, USA, Portugal, China, India, Japan, and Eastern Europe, Siemens Technology helps to secure the company’s technological future and strengthen its ambition.

Your mission will be…

This role is an opportunity for a junior data scientist who is enthusiastic about developing of applications in such areas as satellite and drone images processing, industrial monitoring and analytics, power grids optimization, leak detection in the pipelines, and many others. The business demands new ways of data processing, analysis and visualization, as well as performance optimization and process management based on cutting-edge technologies in web, big data and streaming.

What are the responsibilities?

  • Participate in development of analytic components in industrial systems for computer vision, condition monitoring, anomaly detection, predictive analytics, forecasting, signal processing
  • Work with large-scale, versatile and complex real-world data from industrial facilities to help producing innovative algorithms and new types of AI/ML models
  • Support exploring the untapped potential of big data for design, engineering and analysis tasks
  • Support making fast prototypes, feasibility studies and devising revolutionary approaches to check new ideas

We are looking for someone with…

  • Experience in some of the following areas: data mining, machine learning, knowledge discovery, artificial intelligence, signal processing, computer vision
  • Basic knowledge of Python
  • Experience in handling and analyzing large data sets
  • Great interest and motivation for applied research
  • Good command in spoken English

What You Can Expect From Us…

A hybrid and flexible working model to promote a better work-life balance and to support your studies and the opportunity to do 16 hours a year of volunteer work. A health insurance, access to our on-site medical center, and the chance to join sports groups.

In addition, you'll have access to online learning platforms, discounts with our partners and a shuttle bus to commute to the facilities.

What makes us proud as an employer:

  • The Biggest of Tech Portugal 2022 - Technology Production Category (by Exame Informática and Visão Magazines)
  • Top Companies to work in Portugal 2023 (by LinkedIn)
  • Healthy Workplaces Award 2022 - 3rd large corporations (by Portuguese Psychologists’ Association)

Selection steps:

Our process starts with a review of your CV and if you move on to the next phase, you will be invited to do a video/phone interview in English. The final step will be an interview with your manager and/or team to get to know you better!

Please attach your CV in English.

#Siemens #LXTechHub #TomorrowWithUs

Siemens is committed to creating a diverse environment and is glad to be an equal opportunity employer. We strongly encourage applications from a diverse talent pool!

Please let the company know that you found this position on this Job Board as a way to support us, so we can keep posting cool jobs.

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