Data Scientist II

About the role

Applied Research data scientist building NLP, content classification, search, and generative AI models at large scale; requires 4+ years post-qualification and Python, SQL, and Spark.

Requirements

• 4+ years post-qualification experience in NLP, ML model development, scaling systems, and production deployment
• Proficiency in Python and SQL or PySpark
• Hands-on ML pipelines and distributed processing such as Spark or Databricks
• Intermediate skill in at least three of classification, NLP, search, information retrieval, NER, deep learning, and generative models
• Bachelor's or Master's in a quantitative discipline

What you'll do

• Develop content classification and applied research solutions
• Use classical ML, neural networks, and LLM APIs on large datasets
• Process data with Python, SQL, and Spark
• Collaborate with ML and data engineering and product teams
• Deploy models and communicate results

Where this was posted

• LinkedIn

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