What you’ll do:

• Programming primarily in Python using Python data science libraries (Pandas, SciPy, NumPy, etc).


• Develop data processing methodologies using natural language processing (NLP) using unsupervised and supervised machine learning.


• Develop scoring and ranking solutions, clustering and classification models, entity extraction models, etc.


• Prepare feasibility studies, proof of concepts and develop amazing products.


• Provide guidance and supervision of junior data scientists.

• Successful completion of studies in Computer Science, Engineering or a related subject.


• Proficiency in Python, Jupyter notebooks, Pandas, SciPy, NumPy, SciKit Learn, and similar libraries.


• Experience in NLP model design, development, validation and optimisation.


• Ability to solve real-world problems with independent research while being able to work in a team.

• Knowledge in modern natural language processing (NLP) techniques for topic modelling, ranking, classification, clustering, supervised and unsupervised ML.


• Experience in NLP methodologies for topic modelling and detection of entities within documents and scoring and ranking methodologies.


• Experience in feasibility study and proof of concept design and development.


• Web development experience is beneficial, especially using Python-based frameworks.


• Experience with Azure, Google Cloud, AWS or similar is beneficial.


• 1 Years minimum experience in NLP data science.