Intern (m/f/d) in Data Science - with salary details
Leverkusen, Germany
Covestro
Discover Covestro: Leading in high-tech polymers and sustainability for key industries.We are Covestro. We are curious. We are courageous. We are colorful. We refine chemical material solutions with game-changing products. Let us empower you to push boundaries. Join us and our 18.000 colleagues now and together we will make the world a brighter place.
Your Future Field of Action
Our global team in Digital Process Technology & Knowledge Management strives to make most of Covestro’s deep process knowledge and rich production data. Can you make a difference and keep knowledge and data flowing?
As part of our Digital Services group, you have the opportunity to contribute to Covestro’s digital transformation to unlock the full potential of our production facilities. Towards that goal you will develop digital solutions and apply advanced analytic methods to gain new insights by leveraging the steadily growing amount of process data.
In addition to our wide range of benefits, you can expect an attractive salary of €2,100 gross/month for a full-time position. Furthermore, you can organize your working day as you wish - with flexible working hours and the option to work from home up to 50% of your working time.
These Tasks Await You
Support condition monitoring activities to assess sensor, asset and unit health by using and developing digital solutions
Support data-driven use cases to improve efficiency in a production environment by applying state-of-the art advanced analytic methods
Create powerful visuals and dashboards to enable colleagues gaining insights of their data
You will have the opportunity to work on your own subprojects and to discuss your results with the respective experts from our interdisciplinary team
This Makes You Our Perfect Match
You are an enrolled student (m/f/d) at a university in Engineering, Science, IT or a comparable subject
Expertise in data processing and data analytics through your studies is beneficial
You have experience with programming (e.g. Python) and knowledge on process engineering is a plus
You are able to work independently, solution oriented and have good analytical skills
You are eager to learn, committed and motivated
Good English skills, written and spoken, round off your profile
The internship has a minimum duration of 3 months. We look forward to receiving your online application including a cover letter, your CV, certificates, proof of enrollment, and other relevant documents. Please indicate your earliest start date and preferred duration in your application.
If you have any initial questions, please contact Elena Huber (elena.huber@covestro.com).
Perfection? Not required!
The requirements are not met 100%, but you are still interested in the position? Are you curious, courageous and colorful as we are? No problem!
We'll tackle this together - as a team! With proper onboarding and tailored development opportunities.
Apply now!
We look forward to receive your application! Become #1ofUs!
Anyone who wants to contribute to a better world with Covestro can also expect a lot.
We want you to feel at home at Covestro. To feel you’re treated fairly and transparently. That means financial security, a healthy work-life balance and generous benefits.
Specifically, it means for us: flexible working hours, the compatibility of family and work, active health promotion and the ability to convert part of your salary into long-term or retirement savings. And that's not all.
Sounds exciting? Find out more about Covestro and our benefits here:
https://www.career.covestro.de/de/about-covestro/covestro-as-an-employer/employee-benefits
Contact Us
www.covestro.comCovestro welcomes applications from all individuals, regardless of racial or ethnic origin, skin color, nationality, religion, philosophy, gender, age, physical characteristics, marital status, disability, appearance, sexual orientation and sexual identity. We are committed to treating all applicants fairly and avoiding discrimination.
Tags: Data Analytics Engineering Python Security
Perks/benefits: Career development Flex hours Flex vacation Health care Startup environment
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