Data Science Senior Analyst – Machine Learning & NLP

Our client, a leading international consultancy, is looking to recruit a Data Science Senior Analyst within their London office. The ideal candidate will have a strong background in Natural Language Processing and Machine Learning research and a strong track record of taking research ideas to real-world applications. Role Responsibilities: Using machine learning techniques such as NLP (natural language processing) and advanced predictive modelling in order to derive valuable insights from large disparate sources of data and deliver insightful and meaningful understanding to the risks and key drivers of clients Working closely with the business stakeholders and experts in order to develop new concepts to develop new and innovative tools to support the evolving audit and assurance environment Helping the team to support clients in building production quality applications related to natural language processing and machine learning Staying up to date with developments in the field of NLP and Machine Learning, architectures and languages Leading diverse teams within an inclusive team culture where people are recognised for their contribution Qualifications/Experience Technical Experience in a Machine Learning/AI environment, ideally within an in-house dedicated team or consultancy A deep understanding and at least 4 years of experience of developing NLP based ML algorithms, modern text analytics methodologies, such as Word/sentence embeddings, Topic Modelling, Named Entity Recognition, Relation Extraction, Entity Linking and other natural language processing and machine learning techniques Advanced programming skills in Python/R and related NLP/ML libraries like NLTK, scikit-learn, numpy, scipy, spaCy etc. Real world experience of working with Deep Learning architectures (CNN, RNN) Practical experience in preparing data for Machine Learning (e.g., using SQL and/or NoSQL technologies) Working experience of deep learning frameworks such as Keras, TensorFlow etc General Ability to communicate complex data problems to non-technical stakeholders A degree (preferably Masters or PhD) in Computer Science, Software Engineering, Mathematics or other related topics Understanding of cloud solutions (AWS, Azure, Databricks) Self-starter with project management skills Experience leading teams using Agile methodologies Strong communication, presentation and client management skills