WE SPECIALISE IN FINDING FANTASTIC OPPORTUNITIES
FOR DIGITAL AND DATA SPECIALISTS WITH THE MOST INNOVATIVE BUSINESS ACROSS EUROPE AND THE USA.
€70000.00 - €90000.00 per annum + benefits
7 months ago
Data Scientist/Consultant - Machine Learning, Deep Learning, NLP, Python, AWS, German, Munich
This is a great opportunity to work for a leading data-driven consultancy in Munich.
This company develops big data and AI solutions for international companies. A talented team of data scientists, data engineers and application developers implement innovation projects using advanced analytics and machine learning.
The business is looking for talented Data Scientists and Consultants to join the business and work on some exciting projects with customers.
In this role, you would identify and evaluate use cases and advise customers on the use of advanced data analytics and machine learning methods.
You would develop modern AI environments to prepare data for machine learning, train and select machine learning models.
Evaluating the latest methods and technologies is also an important part of this role; allowing you to influence and drive solutions for customers.
The business is looking for someone who has a degree in computer science, data science, machine learning or related fields.
You should have strong experience of working as a data scientist with a focus on advanced analytics, machine learning and deep learning. Advanced programming experience in Python and SQL is also required.
Experience in implementing machine learning models with a range of frameworks (tensorflow, pytorch etc..) is important, as well as knowledge in continuous integration and deployment tools too.
As a customer facing role, fluency in German is absolutely essential; as well as being willing to travel to customer sites in the Munich area (when restrictions are lifted to allow this of course).
If this role is of interest to you and you'd be keen to find out more, please apply as soon as possible and we'll schedule a call soon.
Darwin Recruitment is acting as an Employment Agency in relation to this vacancy.