Shape the future as a Data Scientist

Without Jungheinrich your shopping cart would probably remain empty. And it does not stop there! Every day our devices transport millions of goods in logistics centres all over the world. At Jungheinrich we develop intelligent warehouse management solutions and process-reliable warehouse automation for our customers – and we are looking forward to receiving your application.

Data Scientist

Location: India (Pune) Initially remote working reporting to Hamburg, Germany

Are you a skilled Data Scientist with a passion for finance and controlling? We have an exciting opportunity for you to join our Analytics, BI & Data Science team in our HQ in Hamburg, Germany and make a significant impact in the world of finance and corporate steering through data-driven insights!

Responsibilities And Key Activities

• Collaborate with cross-functional teams to identify and understand key finance use cases that can benefit from data analysis (from proof-of-concept to implementation support)
• Develop and implement predictive models and machine learning algorithms to support management and financial decision-making
• Identifying optimization potential in internal business processes and deriving recommendations for action, as well as use and business cases
• Evaluation of new technologies, tools, and integration of innovative approaches
• Build end-to-end analytical solutions supported by data engineers and provide strategic recommendations based on data analysis to optimize financial operations, risk management, and investment strategies
• Work closely with data engineers to ensure the availability and quality of relevant data and other colleagues from various Teams (finance, controlling, IT and BI) within the international Jungheinrich organization
• Communicate the results of your work to various stakeholders
  
  

Professional Requirements

• University/Masters’/Bachelors’ Degree in engineering, computer science, statistics, econometrics, or a related field
• 4-6+ years of experience as Data Scientist in consulting firms or corporates
• Fluency in Python and its data science, AI, visualization libraries (e.g. Panda) and SQL
• Experience working with big data analytics solutions, like Azure Databricks (e.g. ApacheSpark, PySpark, Delta Lake) or are eager to learn it.
• Experience in using frontend visualization tools, like SAP Analytics Cloud, PowerBI, Databricks
  
  

Personal Requirements

• Excellent communication skills
• Self-starter, Analytical problem solver, team worker
• Strong analytical competencies, highly structured way of thinking, curiosity and pioneering spirit to explore new correlations
• Ability to translate business requirements into use cases and analytical models
• Fluent in English; German valuable