1 to 25 of 150 Plotly Jobs

Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch). Strong statistical, mathematical, and data modelling skills. Experience with data visualisation tools (e.g., Power BI, Tableau, matplotlib, Plotly). Familiarity with big data tools and cloud platforms (e.g., Hadoop, Spark, Azure, AWS). Ability to work with sensitive or classified data in secure More ❯

DATA SCIENCE • Extensive proficiency in Python and its associated data science libraries (e.g., Pandas, NumPy, scikit-learn, TensorFlow, PyTorch) and data visualisation libraries (e.g., Plotly, Dash). • Strong knowledge and practical application of statistical analysis and data visualization techniques. • Strong experience of a wide range of machine learning algorithms, including More ❯

Exposure to Azure Data Services, Fabric, Synapse, or related cloud technologies is highly desirable. Proven ability to create interactive data visualizations using tools like Plotly/Dash, Shiny, Tableau, or Power BI. Experience in developing web applications for data insights using JavaScript, CSS, or similar frameworks is a plus. Knowledge More ❯

relevant analytical and machine learning libraries (e.g., pandas, polars, numpy, sklearn, TensorFlow/Keras, PyTorch, etc.), in addition to visualization and API libraries (matplotlib, plotly, streamlit, Flask, etc). Experience developing and implementing quantitative models from data in a financial context. Proficiency working with version control systems such as Git More ❯

PyTorch. Exposure to LLMs from model families such as Anthropic, Meta, Amazon, and OpenAI. Familiarity with tools and packages like Pandas, NumPy, scikit-learn, Plotly/Matplotlib, and Jupyter Notebooks. Knowledge of ML-adjacent technologies, including AWS SageMaker and Apache Airflow. Proficiency in data pre-processing, data wrangling, and augmentation More ❯

as Airflow or Luigi. Experience with message brokers (e.g., RabbitMQ, Kafka) for real-time data processing. Experience with data visualization libraries (e.g., Matplotlib, Seaborn, Plotly) is a plus. Knowledge of ORM libraries like SQLAlchemy or Django ORM. Familiarity with containerization tools like Docker. Basic understanding of front-end technologies (e.g. More ❯

as Airflow or Luigi. Experience with message brokers (e.g., RabbitMQ, Kafka) for real-time data processing. Experience with data visualisation libraries (e.g., Matplotlib, Seaborn, Plotly) is a plus. Knowledge of ORM libraries like SQLAlchemy or Django ORM. Familiarity with containerization tools like Docker. Experience with testing frameworks like PyTest, UnitTest More ❯

as Airflow or Luigi. Experience with message brokers (e.g., RabbitMQ, Kafka) for real-time data processing. Experience with data visualisation libraries (e.g., Matplotlib, Seaborn, Plotly) is a plus. Knowledge of ORM libraries like SQLAlchemy or Django ORM. Familiarity with containerization tools like Docker. Basic understanding of front-end technologies (e.g. More ❯

practices. Proficiency with Data Visualization Tools like PowerBI (DAX, Power Query, etc.) as well as tools for visualizing ML and GenAI apps such as plotly, seaborn, d3 and/or streamlit. Experience with using Git + source control in a team environment. Experience with Microsoft Fabric is a plus. Experience More ❯

for text analysis, classification, and information extraction. Knowledge of deep learning frameworks such as PyTorch or TensorFlow. Experience with data visualization tools (Matplotlib, Seaborn, Plotly, or similar). Strong analytical mindset with a focus on solving real-world problems. Excellent communication skills to present findings to technical and non-technical More ❯

leading customer facing engagements emphasizing quantitative or computational finance. • Experience or familiarity with visualizing multi-dimensional financial data or events, using tools like Tableau, Plotly, ggplot2, matplotlib, seaborn, or D3.js. • Demonstrated ability to manipulate large financial datasets and time series data and perform calculations with at least one modern programming More ❯

Experience of embedding operation excellence culture within their teams. Knowledge of database modelling, database concepts and SQL Experience with data visualization frameworks like D3.js, Plotly, Matplotlib, or similar Interested in Joining the Team? Please apply via our online portal providing your CV and Cover Letter. (Please take a personal copy More ❯

Jira, Confluence. Preferred: Master’s degree or higher. Experience leading cross-functional teams. Knowledge of database modeling, SQL, and data visualization frameworks like D3.js, Plotly, Matplotlib. Interested in joining? Please apply via our online portal with your CV and Cover Letter. Remember to keep a personal copy of this Job More ❯

Requirements Experience in financial institutions, preferably in commodities Familiarity with quantitative finance and electronic trading concepts Experience developing dashboards and data visualization applications with Plotly, Matplotlib, Bokeh, Dash, etc. Experience with AWS technologies such as S3, Athena, SQS, Batch, Lambda Experience with DevOps practices using containerization and orchestration tools like More ❯

and proficiency in working with Pandas, NumPy, Scikit-Learn, TensorFlow, and PyTorch, SQL. Proficiency in advanced data visualization tools and libraries (e.g., Matplotlib, Seaborn, Plotly, Tableau) for creating insightful and interactive visualizations. Solid understanding of data structures, data modelling, and software architecture. Experience with cloud services (such as AWS) and More ❯

and proficiency in working with Pandas, NumPy, Scikit-Learn, TensorFlow, and PyTorch, SQL. Proficiency in advanced data visualization tools and libraries (e.g., Matplotlib, Seaborn, Plotly, Tableau) for creating insightful and interactive visualizations. Solid understanding of data structures, data modelling, and software architecture. Experience with cloud services (such as AWS) and More ❯

and proficiency in working with Pandas, NumPy, Scikit-Learn, TensorFlow, and PyTorch, SQL. Proficiency in advanced data visualization tools and libraries (e.g., Matplotlib, Seaborn, Plotly, Tableau) for creating insightful and interactive visualizations. Solid understanding of data structures, data modelling, and software architecture. Experience with cloud services (such as AWS) and More ❯

and proficiency in working with Pandas, NumPy, Scikit-Learn, TensorFlow, and PyTorch, SQL. Proficiency in advanced data visualization tools and libraries (e.g., Matplotlib, Seaborn, Plotly, Tableau) for creating insightful and interactive visualizations. Solid understanding of data structures, data modelling, and software architecture. Experience with cloud services (such as AWS) and More ❯

and proficiency in working with Pandas, NumPy, Scikit-Learn, TensorFlow, and PyTorch, SQL. Proficiency in advanced data visualization tools and libraries (e.g., Matplotlib, Seaborn, Plotly, Tableau) for creating insightful and interactive visualizations. Solid understanding of data structures, data modelling, and software architecture. Experience with cloud services (such as AWS) and More ❯

Technology, Finance, Collections, Operations, and other stakeholders What you'll need Excellent SQL skills Proficiency with Python data science stack (pandas, NumPy, Jupyter notebooks, Plotly/matplotlib, etc.) A passion for solving problems using data Management experience Bonus skills Familiarity with Git Experience with data visualization tools (Tableau, Looker, PowerBI More ❯

you'll need Excellent SQL skills. A drive to solve problems using data. Proficiency with the Python data science stack (pandas, NumPy, Jupyter notebooks, Plotly/matplotlib, etc.). Bonus skills include: Familiarity with Git. Experience with data visualization tools (Tableau, Looker, PowerBI, or equivalent). Knowledge of DBT. More ❯

you'll need Excellent SQL skills. A drive to solve problems using data. Proficiency with the Python data science stack (pandas, NumPy, Jupyter notebooks, Plotly/matplotlib, etc.). Bonus skills include: Familiarity with Git. Experience with data visualization tools (Tableau, Looker, PowerBI, or equivalent). Knowledge of DBT. More ❯

need Excellent SQL skills. A drive to solve problems using data. What would be a bonus: Python data science stack (pandas, NumPy, Jupyter notebooks, Plotly/matplotlib, etc). Familiarity with Git. Data visualization tool (Tableau, Looker, PowerBI or equivalent). DBT. 2-5 years experience of consumer credit risk More ❯

Data Science, Technology, Finance, Collections, Ops and other stakeholders What you'll need Excellent SQL skills Python data science stack (pandas, NumPy, Jupyter notebooks, Plotly/matplotlib, etc) A drive to solve problems using data Experience in a management role What would be a bonus: Familiarity with Git Data visualization More ❯

technical topics to non-technical stakeholders. Demonstrated problem-solving capabilities and willingness to learn new technologies, markets, and business concepts. Plusses: Exposure to Dash Plotly (or similar Python frameworks like Streamlit) for dashboard creation. Experience with Machine Learning model development and data science workflows (including frameworks such as scikit-learn More ❯