11 of 11 Remote Plotly Jobs in the UK

emerging trends and technologies in the field of data science. Requirements Proven experience as a data scientist using Python and a range of libraries (Numpy, Pandas, Scikit-Learn, Matplotlib, Plotly etc.). Strong expertise in statistical modelling, machine learning, and data mining techniques. Experience in computer vision is essential. Data engineering (pipelines, databases, infrastructure), ideally with AWS experience would be More ❯

Technical & Analytical Skills Hands-on experience with large datasets and data profiling. Proficiency in data tools: Power BI, Excel, SQL, Python, Databricks. Familiarity with tools like Great Expectations, Pandas, Plotly, or MS Power Automate is a plus. Able to work collaboratively and independently in a fast-paced environment. Ready to Apply? If you're excited by the opportunity to shape More ❯

Technical & Analytical Skills Hands-on experience with large datasets and data profiling. Proficiency in data tools: Power BI, Excel, SQL, Python, Databricks. Familiarity with tools like Great Expectations, Pandas, Plotly, or MS Power Automate is a plus. Able to work collaboratively and independently in a fast-paced environment. Ready to Apply? If you're excited by the opportunity to shape More ❯

Technical & Analytical Skills Hands-on experience with large datasets and data profiling. Proficiency in data tools: Power BI, Excel, SQL, Python, Databricks. Familiarity with tools like Great Expectations, Pandas, Plotly, or MS Power Automate is a plus. Able to work collaboratively and independently in a fast-paced environment. Ready to Apply? If you're excited by the opportunity to shape More ❯

Technical & Analytical Skills Hands-on experience with large datasets and data profiling. Proficiency in data tools: Power BI, Excel, SQL, Python, Databricks. Familiarity with tools like Great Expectations, Pandas, Plotly, or MS Power Automate is a plus. Able to work collaboratively and independently in a fast-paced environment. Ready to Apply? If you're excited by the opportunity to shape More ❯

Technical & Analytical Skills Hands-on experience with large datasets and data profiling. Proficiency in data tools: Power BI, Excel, SQL, Python, Databricks. Familiarity with tools like Great Expectations, Pandas, Plotly, or MS Power Automate is a plus. Able to work collaboratively and independently in a fast-paced environment. Ready to Apply? If you're excited by the opportunity to shape More ❯

to-end solutions from concept to deployment. Preferred Qualifications Understanding of financial markets , particularly commodities, and experience working with market data. Experience creating dashboards and data visualization tools using Plotly, Matplotlib, Bokeh, Dash , or similar libraries. Practical knowledge of AWS services such as S3, Athena, SQS, Batch, and Lambda. Familiarity with modern DevOps practices , including containerization and orchestration (Docker, Kubernetes More ❯

to-end solutions from concept to deployment. Preferred Qualifications Understanding of financial markets , particularly commodities, and experience working with market data. Experience creating dashboards and data visualization tools using Plotly, Matplotlib, Bokeh, Dash , or similar libraries. Practical knowledge of AWS services such as S3, Athena, SQS, Batch, and Lambda. Familiarity with modern DevOps practices , including containerization and orchestration (Docker, Kubernetes More ❯

to-end solutions from concept to deployment. Preferred Qualifications Understanding of financial markets , particularly commodities, and experience working with market data. Experience creating dashboards and data visualization tools using Plotly, Matplotlib, Bokeh, Dash , or similar libraries. Practical knowledge of AWS services such as S3, Athena, SQS, Batch, and Lambda. Familiarity with modern DevOps practices , including containerization and orchestration (Docker, Kubernetes More ❯

to-end solutions from concept to deployment. Preferred Qualifications Understanding of financial markets , particularly commodities, and experience working with market data. Experience creating dashboards and data visualization tools using Plotly, Matplotlib, Bokeh, Dash , or similar libraries. Practical knowledge of AWS services such as S3, Athena, SQS, Batch, and Lambda. Familiarity with modern DevOps practices , including containerization and orchestration (Docker, Kubernetes More ❯

to-end solutions from concept to deployment. Preferred Qualifications Understanding of financial markets , particularly commodities, and experience working with market data. Experience creating dashboards and data visualization tools using Plotly, Matplotlib, Bokeh, Dash , or similar libraries. Practical knowledge of AWS services such as S3, Athena, SQS, Batch, and Lambda. Familiarity with modern DevOps practices , including containerization and orchestration (Docker, Kubernetes More ❯