(Senior) Data Science & Data Analytics Consultant 60-100%

In our dynamic and enthusiastic community of around 50 Data & AI consultants located in Switzerland, you will engage in diverse projects directly with clients, tackling their challenges head-on using quantitative methods. Collaborating with the community to exchange knowledge and actively participating in and influencing the expansion of our rapidly evolving services are integral aspects of the role.  

Your tasks include:

• Advising the customer on topics relating to Data & AI, understanding the client’s challenges, and deriving suitable solution recommendations  

• Executing client projects in various roles   

• Supporting the acquisition of new projects  

• Help shape Eraneos and the Data & AI team in particular 

This job is for you, if  

• You love solving problems and you want to help tackle our customers' challenges using the most appropriate means.  

• You are proficient in data science and data analytics topics, methods and tools and have implementation experience, for example in Python, SQL, pandas, pytorch, tensorflow, keras.  

• You have the ability to clarify complex topics through visualizations, e.g. using matplotlib, seaborn, streamlit. Data engineering is part of your routine.  

• You like to explain data science challenges and approaches to people who are not familiar with the subject.   

• You possess strong communication skills and enjoy collaborating with colleagues and working with various clients. 

• You possess practical consulting and project experience beyond academic research, coupled with a hands-on, results-driven mindset. 

• You have an ETH or university master's degree in a quantitative discipline, such as data science, mathematics, physics, mechanical engineering, electrical engineering or computer science.  

• Your German or French language skills are business fluent, and you speak English. 

As the icing on the cake, you bring along  

• Experience in working with databases  

• A certain flair for "hacking" and no fear of the command line  

• Experience in the cloud environment  

• Cloud certifications for Azure, AWS or GCP