25 of 25 Plotly Jobs

but would be great if you also have: •Experience with data visualisation tools such as Apache Superset, Jupytr or Power BI •Familiarity with visualisation libraries like D3.js, Chart.js or Plotly for building interactive dashboards. •Exposure to DevOps practices including CI/CD and infrastructure as code •Understanding of machine learning workflows or MLOps for deploying and monitoring models in production. More ❯

etc. Skilled in data pipeline orchestration management libraries (e.g., Airflow, Prefect). Experience with cloud infrastructure (AWS, GCP, Azure). DevOps skills (CI/CD, containerisation). Familiarity with Plotly Dash for interactive data visualisations. You will play a pivotal role in supporting and scaling their data platform, ensuring seamless data pipeline orchestration, storage and compute optimization, as well as More ❯

etc. Skilled in data pipeline orchestration management libraries (e.g., Airflow, Prefect). Experience with cloud infrastructure (AWS, GCP, Azure). DevOps skills (CI/CD, containerisation). Familiarity with Plotly Dash for interactive data visualisations. You will play a pivotal role in supporting and scaling their data platform, ensuring seamless data pipeline orchestration, storage and compute optimization, as well as More ❯

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. Data engineering (pipelines, databases, infrastructure), ideally with AWS experience would be an advantage. Experience with data analysis More ❯

Analytical Skills Hands-on experience with large data sets 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 ❯

Analytical Skills Hands-on experience with large data sets 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 ❯

this year. They code in 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 sophisticated pricing algorithms which would More ❯

applications. Key Responsibilities Build robust data pipelines and orchestration engines in AWS Integrate diverse datasets, including market, fundamental, and weather data Develop analytical and visualization tools (e.g., Dash/Plotly) Partner with analysts to design and implement statistical models Contribute to architectural design of scalable analytics systems Manage deployment and operationalization of workloads in AWS (S3, ECS, Postgres) Promote engineering More ❯

applications. Key Responsibilities Build robust data pipelines and orchestration engines in AWS Integrate diverse datasets, including market, fundamental, and weather data Develop analytical and visualization tools (e.g., Dash/Plotly) Partner with analysts to design and implement statistical models Contribute to architectural design of scalable analytics systems Manage deployment and operationalization of workloads in AWS (S3, ECS, Postgres) Promote engineering More ❯

Experience in commodities, energy trading, or shipping economics Familiarity with optimisation frameworks (MILP/LP) Exposure to cloud data streaming (Kafka, AWS Kinesis, or similar) Experience building dashboards (React, Plotly, Dash) Comfortable working across research, modelling, and implementation 💰 Salary & Benefits Competitive salary – expected range £70,000 – £90,000 , depending on experience Hybrid or fully remote working within the UK (occasional More ❯

Experience in commodities, energy trading, or shipping economics Familiarity with optimisation frameworks (MILP/LP) Exposure to cloud data streaming (Kafka, AWS Kinesis, or similar) Experience building dashboards (React, Plotly, Dash) Comfortable working across research, modelling, and implementation 💰 Salary & Benefits Competitive salary – expected range £70,000 – £90,000 , depending on experience Hybrid or fully remote working within the UK (occasional More ❯

knowledge of Drug Discovery, Development/Manufacturing or similar Life Science domain Deep experience in Python, Data Modelling, Data Integration, Analysis and Visualisation (tabular & JSON, SQL, NoSQL, Ontologies, Streamlit, Plotly, Holoviews) A track record of architecting productionised scientific solutions , integrated with AI/ML and APIs for Biopharma end users Strong communication skills to engage across leadership, scientific and technical More ❯

and strong problem-solving abilities. Demonstrated ability to manage own workload and lead projects with a high degree of self-direction. Experience with data visualisation libraries (e.g., matplotlib, seaborn, plotly) and creating basic reports in BI tools like Tableau. More ❯

and strong problem-solving abilities. Demonstrated ability to manage own workload and lead projects with a high degree of self-direction. Experience with data visualisation libraries (e.g., matplotlib, seaborn, plotly) and creating basic reports in BI tools like Tableau. More ❯

Build simulation models to evaluate case flow and decision-making processes. Integrate models with secure data environments (e.g., LakeFS) for real-data simulations. Design and deliver interactive dashboards (e.g., Plotly Dash or Power BI) for scenario comparison and policy impact analysis. Conduct scenario analyses and produce regular reports for stakeholders. Ensure compliance with analytical quality assurance (AQA) and documentation standards. … Advanced Excel for analytical purposes (non-VBA). Proven experience in simulation modelling and forecasting. Ability to build and manage analytical pipelines. Expertise in data visualisation and dashboard development (Plotly Dash preferred). Ability to work in fast-paced, reactive environments. Excellent communication and collaboration skills. Desirable Skills SQL experience. Background in policy analytics, asylum modelling, or government data environments. More ❯

About this Position: This role involves leading data-driven initiatives to address complex business challenges through advanced analytics and machine learning. The successful candidate will collaborate across multidisciplinary teams, providing technical leadership and ensuring the delivery of accurate, high-quality More ❯

pipelines and dashboards supporting business-critical insights. The ideal candidate will have strong hands-on programming experience in Python , with deep expertise in data manipulation, analysis, and visualization using Plotly Dash . The role requires close collaboration with analytics, business, and engineering teams to deliver scalable data solutions with a strong focus on software development best practices. Key Responsibilities Design … develop, and maintain end-to-end data pipelines and processing frameworks. Perform data extraction, transformation, and loading (ETL) from multiple sources. Implement advanced data visualizations and interactive dashboards using Plotly Dash. Ensure data quality, integrity, and performance through automated testing and validation. Collaborate with cross-functional teams to define data requirements and technical solutions. Apply software engineering principles such as … data querying. Software Engineering Best Practices: Experience with Git for version control. Writing modular, reusable code with proper documentation. Familiarity with unit testing (e.g., pytest) and code formatting tools. Plotly Dash Development: Hands-on experience building interactive dashboards with Dash components (dropdowns, sliders, graphs, tables). Ability to customize with Plotly Graph Objects for advanced interactivity. Integration with REST APIs More ❯

in partnership with analytics and business teams Build the required data and reporting pipelines using Pinterest's internal ETL tools Develop dashboards, web-based visualizations (using Tableau, D3, or Plotly), and web-based tools (node.js or flask apps) Collaborate with other engineering teams to develop and integrate BI solutions Skills: Experience designing, architecting, and maintaining data warehouses that seamlessly stitches …/analytics Required Skills: PYTHON HIVE ETL BIG DATA ANALYTICS DATA WAREHOUSE DESIGN/ARCHITECTURE Tableau dashboards and/or Jupyter reports ENGINEER DATA VISUALIZATION AWS Tableau, D3, or Plotly node.js or flask apps Preferred: Airflow More ❯

to driving business growth and success. The successful candidate will have a strong grasp of modern data modelling practices, analytics tooling, and interactive dashboard development in Power BI and Plotly/Dash (or similar). Key responsibilities Design and implement scalable data architectures and systems to support business intelligence and analytics needs. Develop, optimize, and maintain ETL pipelines for efficient … design. Enthusiasm for clean systems, including documentation, logging, and reproducibility. Experience working with AWS S3, Athena, ECS, Cloud Formation, Lambdas & Cloudwatch. Familiar with analytics tools such as Power BI, Plotly/Dash, or similar for building interactive and impactful visualizations. Passion for TDD. More ❯

to driving business growth and success. The successful candidate will have a strong grasp of modern data modelling practices, analytics tooling, and interactive dashboard development in Power BI and Plotly/Dash (or similar). Key responsibilities Design and implement scalable data architectures and systems to support business intelligence and analytics needs. Develop, optimize, and maintain ETL pipelines for efficient … design. Enthusiasm for clean systems, including documentation, logging, and reproducibility. Experience working with AWS S3, Athena, ECS, Cloud Formation, Lambdas & Cloudwatch. Familiar with analytics tools such as Power BI, Plotly/Dash, or similar for building interactive and impactful visualizations. Passion for TDD. More ❯

manipulation, analytics, and dashboard development. This is not a heavily complex or highly specialized role — it is for someone confident in Python, data handling, and building simple dashboards using Plotly Dash. What You Will Do Build and enhance data processing scripts and pipelines using Python. Work on data cleaning, transformation, and analysis using Pandas and NumPy. Create user-friendly dashboards … in Plotly Dash (with callbacks and simple UI components). Write clean, reusable, and well-documented code following basic software engineering practices. Use SQL to work with relational data when needed. Collaborate with internal teams to understand data requirements and support them with reliable datasets and dashboards. Key Skills & Experience (Must-Have) Strong hands-on experience with Python programming (functions More ❯

manipulation, analytics, and dashboard development. This is not a heavily complex or highly specialized role — it is for someone confident in Python, data handling, and building simple dashboards using Plotly Dash. What You Will Do Build and enhance data processing scripts and pipelines using Python. Work on data cleaning, transformation, and analysis using Pandas and NumPy. Create user-friendly dashboards … in Plotly Dash (with callbacks and simple UI components). Write clean, reusable, and well-documented code following basic software engineering practices. Use SQL to work with relational data when needed. Collaborate with internal teams to understand data requirements and support them with reliable datasets and dashboards. Key Skills & Experience (Must-Have) Strong hands-on experience with Python programming (functions More ❯

SQL Software Engineering Best Practices Key practices: Version control with Git. Writing modular, reusable code. Unit testing (e.g., with pytest). Code documentation and docstrings. Using linters and formatters Plotly Dash Key skills: Customizing with Plotly Graph Objects for advanced interactivity. Creating dashboards with Dash: Callbacks, Layouts (HTML & CSS integration), Components (Dropdowns, sliders, graphs, tables). REST APIs: Fetching or More ❯

Engineering Best Practices i. Key practices: Version control with Git. Writing modular, reusable code. Unit testing (e.g., with pytest). Code documentation and docstrings. Using linters and formatters 4. Plotly Dash i. Key skills: Customizing with Plotly Graph Objects for advanced interactivity. ii. Creating dashboards with Dash: Callbacks, Layouts (HTML & CSS integration), Components (Dropdowns, sliders, graphs, tables). iii. REST More ❯

Engineering Best Practices i. Key practices: Version control with Git. Writing modular, reusable code. Unit testing (e.g., with pytest). Code documentation and docstrings. Using linters and formatters 4. Plotly Dash i. Key skills: Customizing with Plotly Graph Objects for advanced interactivity. ii. Creating dashboards with Dash: Callbacks, Layouts (HTML & CSS integration), Components (Dropdowns, sliders, graphs, tables). iii. REST More ❯