London, England, United Kingdom Hybrid / WFH Options
Autodesk
systems or other searchable CAD databases. Knowledge of statistics. You have experience analyzing data and communicate results using tools such as Pandas, Matplotlib, Seaborn, Plotly, R or others. You have knowledge of the design, manufacturing, AEC, or media & entertainment industries. Experience with Autodesk or similar products (CAD, CAE, CAM, etc. more »
Python, and React on the Frontend. Tech & Data Science stack: Kubernetes & Docker on Google Cloud Python 3: Pandas, RabbitMQ, Celery, Flask, SciPy, NumPy, Dash, Plotly, Matplotlib Javascript, React, Redux PostgreSQL, Redis Prometheus, Alert Manager, DataDog If you joined the company in a Data Science role you would be working on more »
using core data science libraries such as pandas, seaborn, sklearn and statsmodels in Python, and/or R libraries such as the tidyverse family, plotly, highcharter, nloptr, R6, testthat in R Experience developing client facing web based tools, with experience in R:R Shiny or Python: Dash/Flask particularly more »
using core data science libraries such as pandas, seaborn, sklearn and statsmodels in Python, and/or R libraries such as the tidyverse family, plotly, highcharter, nloptr, R6, testthat in R Experience developing client facing web based tools, with experience in R:R Shiny or Python: Dash/Flask particularly more »
test/analytics module and a monitoring tool for performance of trading algorithms and AI/ML models using open source tools (Jupyter notebook, Plotly/Dash). What we ll offer you A healthy, engaged and well-supported workforce are better equipped to do their best work and, more more »
years C# Quantitative development experience in the financial industry. Python experience in a front office environment, python web and data visualisation libraries (dash, panel, plotly etc.) are preferred. Commodities experience (understanding of the exchange and OTC contracts in gas, power oil and products, argis, bulks, freight) is preferred. Experience in more »
Expected: Help to build new, scalable ELT pipelines using SQL and dbt Collaborate with other analysts and contribute to product development in Python and Plotly Dash Contribute innovative ideas to improve the product and current processes Contribute towards the delivery of analytics projects as part of the consultancy business Benefits more »
