8 of 8 Permanent Jupyter Jobs in London

and visualizations for business teams Communicate findings to non-technical stakeholders What You Bring 5+ years in applied data science or analytics Strong Python or R skills (pandas, NumPy, Jupyter) and solid SQL experience Familiarity with BI tools like Tableau or Power BI Strong foundation in statistics, experimentation, and A/B testing Excellent communication and storytelling abilities Role Details More ❯

and visualizations for business teams Communicate findings to non-technical stakeholders What You Bring 5+ years in applied data science or analytics Strong Python or R skills (pandas, NumPy, Jupyter) and solid SQL experience Familiarity with BI tools like Tableau or Power BI Strong foundation in statistics, experimentation, and A/B testing Excellent communication and storytelling abilities Role Details More ❯

technologies. Evaluate emerging technologies to identify opportunities, trends, and best practices that can be leveraged to strengthen CoStar's technology platform and development practices. Experience with .NET Core., Python, Jupyter, Notebook, AWS and NoSQL databases. Experience with Databricks and Lakehouse architecture WHAT'S IN IT FOR YOU? Working at CoStar Group means you'll enjoy a culture of collaboration and More ❯

production. Requirements: Experience in a client-facing technical role (Solutions Engineer, AI Consultant, or similar) Strong Python skills and experience with LLMs/LangChain Confident building quick prototypes (Streamlit, Jupyter, etc.) Able to bridge business needs and technical delivery Startup mindset: fast-moving, collaborative, hands-on Bonus: experience in finance, legal, or insurance; Azure exposure; ISO 27001 familiarity This is More ❯

Python data libraries (Pandas, NumPy) (preferably) from the Trading world. They also are on the look out for candidates who: Have deep familiarity with Python data ecosystem Understanding of Jupyter notebooks Exposure to machine learning libraries like PyTorch, XGBoost and JAX Understanding of crypto or traditional financial markets Strong API design and documentation skills What do you get in return More ❯

Python data libraries (Pandas, NumPy) (preferably) from the Trading world. They also are on the look out for candidates who: Have deep familiarity with Python data ecosystem Understanding of Jupyter notebooks Exposure to machine learning libraries like PyTorch, XGBoost and JAX Understanding of crypto or traditional financial markets Strong API design and documentation skills What do you get in return More ❯

Data Scientist - Remote (Data Scientist, Data Science, Data Analyst, Data Analysis, ETL pipeline, Jupyter notebooks, Python, Azure Data Factory, Cosmos DB, PostgreSQL, QGIS, PostGIS, Statistics, Data Analytics, C# .NET, Data Scientist, Data Science, Data Analyst, Data Analysis) Our client is a prestigious technology company who focus in the Insurance market. They have been a market leader for many years and … part in data visualization, statistical analysis and collaboration with cross-functional teams to implement data-driven decision making. We are seeking a Data Scientist with experience of Python and Jupyter notebooks with the capability to source data and communicate and liaise with data providers. You will need an understanding of data licensing and its implications, full ETL pipeline experience and … full data lifecycle management knowledge. Essential skills include Jupyter notebooks and Python, strong Data Visualization and presentation, expertise in Data Science and Data Analysis and proficiency in Statistics and Data Analytics. Knowledge of Azure Data Factory, Cosmos DB, PostgreSQL, QGIS/PostGIS and C#.NET is highly desirable, as is any experience in the Insurance industry. Excellent problem-solving and analytical More ❯

pipelines for high-frequency and alternative data. Implement data validation, monitoring, and access layers for research and production. Scale research models into distributed compute workflows (Dask, Ray). Develop Jupyter-based tools for strategy prototyping and tuning. Implement performance attribution and diagnostic tools. Create dashboards and visualizations for order book and strategy monitoring. Requirements Must Have: 5+ years of professional … Python development experience. Strong ability to write clean, modern Python code. Experience building and documenting APIs. Deep knowledge of Python ecosystem (Pandas, Numpy, Bokeh, PyArrow, Matplotlib, IPyWidgets, Jupyter, etc.). Proven experience with large-scale data pipelines and ETL workflows. Comfortable working in Jupyter notebooks. Understanding of crypto or traditional financial markets. Nice to Have: Experience with crypto exchanges and More ❯