Strong foundation in programming languages like Python or R., Experience in SQL and data visualization tools., Familiarity with data science libraries and cloud services., Eager to enhance proficiency in data science..
Key responsabilities:
Assist in documenting data science projects.
Create data visualizations using AWS QuickSight.
Perform data collection, cleaning, and preprocessing.
Collaborate with data scientists on ML model development.
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LIXIL makes pioneering water and housing products that make better homes a reality for everyone, everywhere.
Born in 2011 through a merger of five of Japan's most successful building materials and housing companies, we draw on our Japanese heritage to create world-leading technology and innovate to make high quality products that transform homes. Today, we're a global enterprise with approximately 60,000 employees in more than 150 countries worldwide, having expanded internationally by acquiring some of the most trusted names in our industry, including GROHE and American Standard.
LIXIL combines meaningful design, an entrepreneurial spirit, a dedication to improving accessibility for all, and responsible business growth to make things that matter – to people, to communities, and to the world we live in.
We are proud that our products touch the lives of more than a billion people every day but believe we have the potential to do so much more.
SURU is a software company from Düsseldorf that specialises in the prevention of tap water damage in buildings. The use of SURU technology enables proactive detection of leaks in water pipes. In addition, the SURU Water app simplifies communication between all relevant stakeholders. In order to achieve this, SURU has teamed up with insurance companies, water suppliers, providers and manufacturers to save homeowners time, money and nerves and protect the world's most valuable resource.
Link: www.suru-water.com
We are searching for motivated and curious students (f/m/d) to support us in transforming data into actionable insights using artificial intelligence. In this role, you will take responsibility, work independently, and have the opportunity to explore new topics and technologies. As a working student, you will gain hands-on experience in data analytics and modeling, develop valuable skills in machine learning, and actively contribute to the ongoing evolution of our SURU Water Damage Prevention solution.
Your responsibilities:
Assist in the documentation of data science projects to ensure clarity and reproducibility.
Create engaging and informative data visualizations using AWS QuickSight to communicate insights effectively.
Perform data collection, cleaning, and preprocessing to prepare datasets for analysis and modeling.
Collaborate with SURU Data Scientists in the development, evaluation, and optimization of machine learning models.
Ensuring compliance with the organization’s Information Security Policy.
Your skills:
Eager to continuously enhance proficiency in data science and analytics.
Experience in writing SQL queries and building insightful dashboards using AWS QuickSight or Tableau.
Possess a strong foundation in programming languages such as Python or R, and experience with data science libraries (e.g., pandas, NumPy, scikit-learn).
Familiarity with cloud services (AWS, Azure, or Google Cloud) is an advantage
Proficiency in English is mandatory, and proficiency in German is advantageous.
Your benefits:
Flexibility to work remotely.
Learn from SURU experts and accelerate your career in data science.
Work with state-of-the-art tools and technologies in the field.
Access to a learning platform to boost your skills and stay updated on the latest trends.
Professional onboarding for a successful start!
Use of our wide range of employee offers, e.g. discounts on travel, fashion, media, mobile phones, etc.
Diversity & inclusion: Everyone has the same opportunities with us and is supported individually.
A highly motivated, appreciative and international team that inspires you and that you can learn from.
Contact
Interested?
Then we are looking forward to your application.
For queries and further information, please do not hesitate to contact us.
Grohe AG
Frau Nina Augscheller
Feldmühleplatz 15
40545 Düsseldorf
Required profile
Experience
Level of experience:Entry-level / graduate
Spoken language(s):
English
Check out the description to know which languages are mandatory.