Data Science Intern

Munich, Bavaria

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Our mission at Qwello is to revolutionize the charging industry, we are committed to turn the world from combustion to electric. We design, build and operate charging infrastructure for the public space. We excel in simplicity, user focus and engineering excellence. We value diversity of thought, background and approaches and foster a culture of belonging. We understand that the best products are built by excellent teams, not individual superstars. Be part of shaping the E-mobility of the future!
To reach our goal we are looking for an Intern to join our Data Science Team for 9-12 months fulltime. The goal of the data team is to get the right data to the right people at the right time. Its deliverables are dashboards, excel sheets and one time reports. Its tools are code (Python) & models.
You will have the opportunity to contribute to the design and development of both code & models to advance the goals of the data team.  In doing so you will help us optimize the reliability and profitability of our growing fleet of self-designed/built charging stations being deployed Europe wide. 
You have an analytical and inquisitive mind-set and an eye for detail. You are comfortable working in a startup environment, collaborating in an interdisciplinary team and willing to contribute, in whatever way, with your skills, experience and enthusiasm to help us build a successful business. As a proactive and committed team member, we continuously motivate and support you to keep learning and developing your skills. Let's power the future together!

Your Responsibilities 🚀

  • Support the team to deliver data analyses and data visualizations to steer the development of relevant metrics and the discovery of business opportunities.
  • Contribute to the development of existing ETLs to optimize the reliability and profitability of our growing fleet.
  • Deliver effective presentations of findings and recommendations.

Your Profile ✨

  • A Bachelor or Master's degree in a quantitative field or equivalent knowledge (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Sciences, etc.).
  • Experience coding in Python and programmatically extracting knowledge from data sets (e.g. Pandas, Polars, Spark, Arrow, Numpy).
  • Comfortable using statistics to answer concrete questions.
  • Experience working with Time Series and ML is a plus.
  • Affinity for interdisciplinary topics.
  • Problem-solving approach and goal-oriented way of working.
  • Availability to work full time for at least 6 months.
  • Fluency in English.

Your Benefits 🪴

  • Flat hierarchies with an efficient decision-making processes without red tape.
  • The opportunity to play a key role in shaping the mobility revolution.
  • Be part of an international and dynamic team of more than 35 nationalities.
  • Enjoy a remote-friendly environment with  flexible options, you choose whether to work entirely from home, in one of our offices or a mix that suits you and you have the possibility of workation within the EU, plus 30 vacation days.
  • A gross salary of €2,250 per month
  • Regular company and team events outside of the office to disconnect from our computers and reconnect with colleagues on hikes, mountain e-bike tours, offsites and more.
  • Personal and professional development through in-house lunch & learn sessions, collaborative coding challenge discussions, as well as externally provided training, courses and conferences.
Equal Opportunities:We strive to eliminate discrimination,  remove barriers and ensure equal opportunity through a transparent recruitment process. We are fully committed to fostering an inclusive and respectful work environment where everyone can succeed.  At Qwello everyone is welcomed regardless of cultural background, creed, race, sexual orientation, colour or  gender expression.
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Tags: Arrow Computer Science Engineering ETL Excel Machine Learning Mathematics NumPy Pandas Python Spark Statistics

Perks/benefits: Career development Conferences Flex hours Flex vacation Startup environment Team events

Region: Europe
Country: Germany

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