16 of 16 Plotly Jobs in the UK

and timely analytics across the organisation. 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. Key responsibilities: Designing and maintaining robust data transformation pipelines (ELT) using SQL, Apache Airflow, or similar tools. Building and optimizing data models that power dashboards and analytical tools … Developing clear, insightful, and interactive dashboards and reports using Power BI and Plotly/Dash. Collaborating closely with stakeholders to understand reporting needs and translate them into analytical solutions. Ensuring high data quality, consistency, and documentation across business-critical datasets. Managing the semantic layer and ensuring data definitions are aligned across teams. Contributing to architecture and platform design decisions, especially … and self-serve reporting. Proficiency in analytics engineering tools such as airflow, SQL, and version control systems like Git. Hands-on experience developing dashboards and reports using Power BI, Plotly/Dash, or other modern visualisation tools. Strong understanding of data governance, quality, and documentation best practices. Strong ability to debug and optimize slow or failing data pipelines and queries. More ❯

and timely analytics across the organisation. 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. Key responsibilities: Designing and maintaining robust data transformation pipelines (ELT) using SQL, Apache Airflow, or similar tools. Building and optimizing data models that power dashboards and analytical tools … Developing clear, insightful, and interactive dashboards and reports using Power BI and Plotly/Dash. Collaborating closely with stakeholders to understand reporting needs and translate them into analytical solutions. Ensuring high data quality, consistency, and documentation across business-critical datasets. Managing the semantic layer and ensuring data definitions are aligned across teams. Contributing to architecture and platform design decisions, especially … and self-serve reporting. Proficiency in analytics engineering tools such as airflow, SQL, and version control systems like Git. Hands-on experience developing dashboards and reports using Power BI, Plotly/Dash, or other modern visualisation tools. Strong understanding of data governance, quality, and documentation best practices. Strong ability to debug and optimize slow or failing data pipelines and queries. More ❯

Operations, and other stakeholders. What 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. 2-5 years of experience in More ❯

confidently Build great relationships with 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 tool (Tableau, Looker, PowerBI or More ❯

OpenAI APIs, GPT models, or other AI services, with an understanding of their capabilities and limitations. UI & Data Visualization Skills: Strong experience in building interactive dashboards, preferably using Streamlit, Plotly, etc, or similar frameworks to visualize complex AI outputs. Problem Solving & Debugging: Excellent analytical skills with a knack for diagnosing issues and implementing effective solutions. Preferred Qualifications: Experience working in More ❯

Jupyter) and experience building data pipelines , analytical tools , or dashboards . SQL experience is a plus. Proficiency in Excel and data visualization platforms such as Power BI, Tableau, or Plotly/Dash. Solid knowledge with of equity markets and investment principles, including portfolio construction , risk attribution , or equity factor analysis . Demonstrated ability to communicate effectively with non-technical stakeholders More ❯

Jupyter) and experience building data pipelines , analytical tools , or dashboards . SQL experience is a plus. Proficiency in Excel and data visualization platforms such as Power BI, Tableau, or Plotly/Dash. Solid knowledge with of equity markets and investment principles, including portfolio construction , risk attribution , or equity factor analysis . Demonstrated ability to communicate effectively with non-technical stakeholders More ❯

own: Database technologies: SQL, Redshift, Postgres, DBT, Dask, airflow etc. AI Feature Development: LangChain, LangSmith, pandas, numpy, sci kit learn, scipy, hugging face, etc. Data visualization tools such as plotly, seaborn, streamlit etc You are Able to chart a path on a long term journey through much complexity, change and ambiguity. A clear communicator who can share a compelling plan 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 ❯

programming skills, including experience with relevant analytical and machine learning libraries (e.g., pandas, polars, numpy, sklearn, TensorFlow/Keras, PyTorch, etc.), in addition to visualisation and API libraries (matplotlib, plotly, streamlit, Flask, etc). Understanding of Gen AI models, Vector databases, Agents, and follow the market trends. Its desirable to have a hands-on experience on these. Substantial experience using More ❯

programming skills, including experience with relevant analytical and machine learning libraries (e.g., pandas, polars, numpy, sklearn, TensorFlow/Keras, PyTorch, etc.), in addition to visualisation and API libraries (matplotlib, plotly, streamlit, Flask, etc). Understanding of Gen AI models, Vector databases, Agents, and follow the market trends. Its desirable to have a hands-on experience on these. Substantial experience using More ❯

the engineering function Technical Skills & Experience Strong background in data transformation projects SQL and Python for scripting and analytics Airflow (or equivalent workflow orchestration tools) Power BI , and optionally Plotly/Dash for data visualisation Strong experience with AWS or equivalent Spark or Kafka (experience with one or the other expected) Proficiency in data modelling techniques such as Star or More ❯

Python, JS/TS, C++ or Go). Cloud and CI/CD experience (Docker, Kubernetes, GitHub Actions, etc.). Desirable: Knowledge of data pipelines, DevOps, data viz (D3.js, Plotly). Agile experience and awareness of security best practices. Eligibility: Must be a UK/EU citizen with the right to work in the UK. A great opportunity to join More ❯

Python, JS/TS, C++ or Go).* Cloud and CI/CD experience (Docker, Kubernetes, GitHub Actions, etc.). Desirable: * Knowledge of data pipelines, DevOps, data viz (D3.js, Plotly).* Agile experience and awareness of security best practices. Eligibility: Must be a UK/EU citizen with the right to work in the UK. A great opportunity to join More ❯

year in a Data Analyst role. Python data-wrangling mastery. Excel power-user (Power Query, pivots; VBA a plus). Bonus: BI/viz chops (Power BI, Tableau, Matplotlib, Plotly). Clear communicator who makes complex data simple. 🌟 Impact & Growth Join a social, supportive squad of specialists who’ve each made a mark within their first months. Expect mentorship, space More ❯

metadata management, vector databases, relational/object databases. Experience with Kubernetes. Understanding of computational geometry (meshes, boundary representations). Ability to analyze data using tools like Pandas, Matplotlib, Seaborn, Plotly, R. Familiarity with Autodesk or similar CAD/CAE/CAM products. Knowledge of data lake architectures, data provenance, and lineage. Understanding of computational geometry and industry-specific applications. The More ❯