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Data Science Senior Analyst – Machine Learning

1 month ago

London, Greater London, United Kingdom Campion Pickworth Full time

Campion Pickworth is seeking a highly skilled Data Science Senior Analyst to join their team in London. The ideal candidate will have a strong background in Natural Language Processing and Machine Learning research, with a proven track record of taking research ideas to real-world applications.

Key Responsibilities:

  • Apply machine learning techniques such as NLP and advanced predictive modeling to derive valuable insights from large datasets and deliver meaningful understanding to clients.
  • Collaborate with business stakeholders and experts to develop new concepts and innovative tools to support the evolving audit and assurance environment.
  • Support clients in building production-quality applications related to natural language processing and machine learning.
  • Stay up-to-date with developments in NLP and Machine Learning, architectures, and languages.
  • Lead diverse teams within an inclusive team culture where people are recognized for their contribution.

Requirements:

  • 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 Modeling, 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.

Desirable Skills:

  • 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.