NLP Scientist

Website European Recruitment

NLP Scientist

Our clients science team develops AI-first products (apps and services that use machine learning to inform and assist their users) for both their insurance and investment arms. This is mainly achieved through:

  1. Incubation of disruptive innovation (via scientists, engineers and designers working together)
  2. Machine learning R&D (and publication in top AI/ML conferences and journals)
  3. Provision of machine-learning advisory / consulting for global businesses.


This is an exciting opportunity for those who want to enjoy state-of-the-art R&D and be challenged and grow as a Deep Learning Scientist; along the way this role will contribute to game-changing products for the multi-trillion-dollar insurance industry and use our clients global network to deliver impact and change.


Responsibilities and Performance Objectives 

  • Employ the best of NLP (and Deep Learning) research for solving business problems – disrupting the current practice in insurance and investment.
  • Build and refine algorithms that can find “useful” patterns in large multi-modal data (particularly, text, conversations, and transactional data).
  • Provide the business with new product ideas, as well as data-driven apps, insights and strategies.
  • Communicate (both oral and written) with colleagues and stakeholders (both internal and external).
  • For more senior candidates: Lead, inspire and mentor junior scientists and research assistants / interns


The required skills include:

  • An advanced degree in a numeric discipline (e.g., Statistics, Machine Learning, Computer Science, Engineering, and Physics).
  • Completion of one significant project (equivalent of a PhD research project, and/or a viable commercial product) in one or more of the hiring themes.
  • Experience in core NLP and text analytics tasks and application areas (e.g., text classification, topic detection, information extraction, Named Entity recognition, entity resolution, Question-Answering, dialog systems, chatbots, sentiment analysis, event detection, language modelling).
  • Scientific expertise, strong track record, and real-world experience in Deep Learning, especially with hands-on experience in hyper-parameter tuning and deep construction / distribution (e.g., architecture design in CNN/RNN/LSTM, attention mechanisms, parameter initialization, activation, normalization, and optimization).
  • Expertise in programming (e.g., Python, C++ or Java/Scala) and computing technologies (high-performance computing, e.g., CUDA).
  • Ability to use existing deep / machine learning libraries (e.g., TensorFlow, Torch, Theano, Caffe, scikit-learn, Deeplearning4j, and Chainer).
  • Familiarity with existing Open Source NLP libraries and utilities (e.g., Stanford CoreNLP, spaCy, fastText, AllenNLP, PyTorch-NLP, Gensim, word2vec, GloVe). Experience in mining large-scale, multi-domain text corpora and streams.
  • Experience with the data and platform aspects of the projects.
  • Review, direct, guide, inspire the research of the more junior scientists in the team (especially applicable to more senior candidates).


#AI & Machine Learning


Salary DOE. 


By applying to this role you understand that we may collect your personal data and store and process it on our systems. For more information please see our Privacy Notice


Categories: AI & Machine Learning

  Salary: Negotiable

  Location: Dresden, Germany

  Job type: Permanent, Full Time