Middle Data Scientist @ Godel Technologies Europe in Godel Technologies Europe

Godel is on the lookout for talented Middle-level Data Scientist to join our team engaged in development of business applications for major British companies. We always have new and exciting projects with opportunities to improve your skills in a wide spectrum of technologies related to web development. If you are an enthusiastic and ambitious specialist, willing to take active participation in shaping of a product, this job is for you!

The job requires being ready to work in different domains from retail to recruitment and engage in multiple tasks such as data modeling and clustering, building chatbot applications, analysis, drawing conclusions and extracting information from text data.

Ideally you have:

• 2+ years in Data Science role, 
• solid knowledge of Machine and Deep Learning algorithms, Statistics and Mathematics, 
• experience in solving Natural Language Processing tasks, 
• experience of working in Python, including Scikit-learn, Keras and common machine learning packages, 
• good knowledge of SQL, 
• speaking English at least B1+ level. 

Nice to have experience in the following areas:

• Large language models and prompt engineering, 
• MLOps, cloud platforms, infrastructure, and delivery. 

Godel is on the lookout for talented Middle-level Data Scientist to join our team engaged in development of business applications for major British companies. We always have new and exciting projects with opportunities to improve your skills in a wide spectrum of technologies related to web development. If you are an enthusiastic and ambitious specialist, willing to take active participation in shaping of a product, this job is for you!

The job requires being ready to work in different domains from retail to recruitment and engage in multiple tasks such as data modeling and clustering, building chatbot applications, analysis, drawing conclusions and extracting information from text data.

,[Using Data Science to identify patterns and trends, conduct experiments and estimate Machine Learning models to improve our clients’ products and services, , Working alongside data engineers and product teams to help develop a core suite of data products and services, , Communication with both technical and non-technical audiences to gather requirements and present findings. ]

Requirements: Data science, Deep learning, Natural language processing, Python, scikit-learn, Keras, Machine learning, SQL, MLOps, Cloud platform
Tools: Jira, Confluence, GIT, Jenkins, Agile.
Additionally: Sport subscription, Training budget, Private healthcare, Language classes, International team, Innovative projects, Certificates, Integration events, Flat structure, International projects, Free coffee, Bike parking, Playroom, In-house trainings, Modern office, No dress code.