1 to 7 of 7 Permanent Jupyter Jobs in London

skills with SQL, working with large and complex data sets to extract insights and identify trends Advanced programming skills with Python, including experience with Jupyter notebooks, PyTest, Pandas, SciKit, PyTorch, type-checking, functional programming, CI/CD, and Git A borad background in machine learning for customer and marketing purposes more »

in order to fully understand the data; programming in Python or Ruby, utilizing AWS S3, MongoDB, PostgreSQL, AWS Redshift or similar database technologies; using Jupyter notebooks and one or more statistical visualization or graphing toolkits such as Excel, Qlik Sense or Tableau. Technical Blog Posts Read more about what our more »

development, including research and developing new propositions. Proficiency in Data Science and Machine Learning services from Cloud providers (AWS, Azure, GCP). Python and Jupyter ecosystem (Lab, Notebook) and related libraries and tooling. Python libraries for data management, statistical analysis, machine learning, and visualisation. Machine learning frameworks such as TensorFlow more »

development, including research and developing new propositions. • Proficiency in Data Science and Machine Learning services from Cloud providers (AWS, Azure, GCP). • Python and Jupyter ecosystem (Lab, Notebook) and related libraries and tooling. • Python libraries for data management, statistical analysis, machine learning, and visualisation. • Machine learning frameworks such as TensorFlow more »

Bloomberg, ISS and MSCI Significant experience with building robust data-oriented solutions in Python, including web apps Experience with modern data tools, ideally Tableau, Jupyter Notebooks, Pandas and Python visualisation libraries Exposure to machine learning approaches such as neural networks, NLP, generative AI desirable Experience working at an investment management more »

Python programming but also operate with modern tech such as Snowflake, Airflow, DBT, Kubernetes/Docker and cubeJS whilst also using Tableau CRM and Jupyter notebooks for gaining data insights. If you think there’s a better or newer tool, you’re free to use that too. The key think more »

using front-office pricing libraries Comfortable with relational and timeseries databases Exposure to distributed systems and messaging (e.g. Kafka) Comfortable with Numpy, Pandas and Jupyter Highly self-motivated, willing to take initiative and make technical decisions more »