16 of 16 Plotly Jobs in London

Collections, Operations, and other stakeholders. What you'll need Excellent SQL skills. A drive to solve problems using data. Experience with Python data science stack (pandas, NumPy, Jupyter notebooks, Plotly/matplotlib, etc). Bonus skills Familiarity with Git. Data visualization tools (Tableau, Looker, PowerBI, or equivalent). DBT. 2-5 years of experience in consumer credit risk or collections 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 ❯

building web applications. In-depth knowledge of Impala or other SQL-on-Hadoop query engines. Understanding of web development concepts (HTML, CSS, JavaScript). Proficiency in data visualization libraries (Plotly, Seaborn). Solid understanding of database design principles and normalization. Experience with ETL tools and processes and Apache Oozie or similar workflow management tools. Understanding of Machine Learning and AI 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 ❯

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 ❯

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 ❯

and document production ready ML models -from gradient boosted trees to GenAI and timeseries forecasting-packaged as internal Python packages or RESTful services. Build interactive front-ends (Tableau, Streamlit, Plotly Dash) so non-technical users can explore results intuitively Turn insights into actionable recommendations and present findings to clients; Contribute reusable components (feature engineering blocks, forecasting engines, GenAI pipelines) to 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 ❯

/or European government bond markets preferred Strong proficiency in Python programming and data manipulation libraries and experience dealing with datasets (e.g., Pandas, NumPy, SciPy) Experience with Dash/Plotly or other visualization software highly desirable Experience with database programming languages (e.g. kdb, SQL) Strong knowledge of MS Excel (especially using real-time data) Strong knowledge of statistics and/ 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 ❯

Engineer focusing on Python for our Software Team. Our Tech Stack: AWS, Athena SQL, Athena Spark, ECS, Azure, Azure Synapse SQL & Spark, Python, Flask, Fast API, Redis, Postgres, React, Plotly, Docker. We will potentially add GCP and on-premise in the future. What you can expect as a Senior Software Engineer at Monolith AI: As a Senior Software Engineer at More ❯