Corporate Finance Intern (Machine Learning & Predictive Analytics) (m/f/d)

at  Weleda

Arlesheim, BL, Switzerland -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate31 Dec, 2024Not Specified07 Nov, 20243 year(s) or aboveR,Mathematics,Machine Learning,Data Analysis,Python,Computer Science,Programming Languages,Presentation Skills,Artificial IntelligenceNoNo
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Description:

Weleda is the world’s leading manufacturer of certified natural and organic cosmetics and anthroposophic pharmaceuticals. These are developed, produced and marketed with the help of 2,500 employees worldwide. We take a holistic approach to people’s health and wellbeing with our products. A forward-looking approach, social commitment and economic success are the pillars of Weleda. In harmony with nature and the human being – since 1921.
Weleda AG
Schweiz
Dychweg 14
CH-4144 Arlesheim
Phone: +41(0) 61 705 2121
We are seeking a highly motivated and talented intern to join our Corporate Finance team.

REQUIREMENTS, QUALIFICATIONS, EXPERIENCE:

  • Currently enrolled in a reputable university, pursuing a degree in Mathematics, Science, Computer Science, or a related field
  • At least in the 3rd year of study with relevant coursework in Machine Learning, Artificial Intelligence, and Data Analysis
  • Strong analytical and problem-solving skills
  • Proficiency in programming languages such as Python or R
  • Experience with machine learning libraries and frameworks (e.g., TensorFlow, scikit-learn)
  • Excellent communication and presentation skills
  • Ability to work independently and as part of a team

Responsibilities:

  • Collaborate with the Corporate Finance team to understand business requirements and objectives
  • Analyze large datasets to identify trends, patterns, and insights
  • Develop and implement predictive machine learning models to forecast sales, profitability, and other key financial metrics
  • Validate and refine models to ensure accuracy and reliability
  • Present findings and recommendations to stakeholders, CEO, CFO
  • Document methodologies and processes for future reference


REQUIREMENT SUMMARY

Min:3.0Max:8.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

Graduate

Computer Science, Mathematics

Proficient

1

Arlesheim, BL, Switzerland