Machine learning engineer Jobs in Wiesbaden

Job Location

SCHWALBACH GO & TECH CENTER

Job Description

Are you looking for a part-time role where you can sharpen your digital and communication skills whilst being at the forefront of fast-paced consumer learning at a multinational leader in the Consumer Products Goods industry?

Join P&G as a Working Student and support our German Innovation Center in creating consumer surveys, leading effective communication with consumers, and helping us to continuously improve our consumer learning operations through automation and smart processes.

This role offers a unique opportunity to gain practical experience while working up to 20 hours/week, allowing you to balance your studies with hands-on work in a multinational corporation.

KEY RESPONSIBILITIES INCLUDE:

• Coding of survey questionnaires (German & English): Set up Excel/Word questionnaires in common survey platforms, codify question logic trees, and test the coded questionnaires to ensure they work flawlessly for panelists. Contribute to automation (e.g., master questionnaires and standard templates).

• Panelist communication (German & English): Answer panelist questions in a clear, concise and timely manner (mainly via email) in a way that respects and appreciates the panelist and fosters positive engagement. Analyze recurring questions and codify them into FAQs/Q&As. Support automation through templates and standard responses.

• Data handling & basic analysis: Download, clean, combine and analyze data using statistical software (e.g., JMP) and other digital tools as needed.

• Help build systems & improve work processes: Identify and execute system and work-process improvements (e.g., trainings, documentation/CBAs, automation and simplification ideas) related to panel administration and survey execution.

WHAT WE OFFER

• Continuous mentorship: you will work with motivated people and receive day-to-day mentoring from your manager.

• We love flexibility and support your studying. You can arrange your work schedule based on your personal needs.

• Multifaceted and supportive work environment: employees are at the core, we value every individual and support initiatives, promoting agility and truly supporting your work/life balance and long-term well-being.

Job Qualifications

YOUR PROFILE

• Enrolled at a German university pursuing a Bachelor’s or Master’s degree, ideally in Business Informatics, Business Engineering, Sociology, or a related field.

• Proven skills that are a must:

• Digital skillset: coding survey questionnaires; programmatic thinking (abstract and codify logic tree of a questionnaire),basic fluency with statistical tools (e.g. JMP) and willingness to use AI to automate repetitive work.

• Fluency in English and German (C1 equivalent); strong written communication (clear, concise, audience-appropriate).

• Self-leadership, accountability and execution excellence; structured way of working and a continuous improvement mindset.

• Living within commuting distance to Schwalbach am Taunus or Kronberg. It is an expectation to be physically present and work from our offices at least 3 days a week.

• Team-oriented with a “can-do” attitude and a commitment to delivering with excellence and innovative results.

APPLICATION

To optimally prepare for our interviews, make sure you fully understand our application process.

• CV as a separate document

• Certificate of university enrolment

• Copy of university diploma (if applicable) and transcript

• Copy of relevant work, internship and volunteering certificates or reference letters (if available)

Please upload all documents in the "CV/Resume" field. Incomplete applications may lead to delays in the recruitment process.

AT P&G #WESEEEQUAL

We are an equal opportunity employer and value diversity at our company. At P&G, we strive to build a culture where everyone feels welcome, included, and able to bring their full selves to work. We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process. Please click here, if you require an accommodation during the application process. Please make sure to wait to hear back from us regarding your accommodation before proceeding with the online assessment, we thank you in advance for your patience.

Job Schedule

Part time

Job Number

R000149342

Job Segmentation

Internships