1 to 25 of 53 Plotly Jobs in the UK

Job Description Company Description AlTi Tiedemann Global (“AlTi”) is a NASDAQ listed global wealth manager, creating possibility, impact and legacy for the most discerning and dynamic owners of capital in the world. The firm currently manages or advises on approximately More ❯

using data science libraries (e.g., 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 environments. Desirable: Experience in applying More ❯

within our business. About you: 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 supervised & unsupervised. • Proven experience in More ❯

'Be a part of a revolutionary change' About us At PMI we've chosen to do something incredible. We're totally transforming our business and building our future on smoke-free products. With huge change comes huge opportunity. So, wherever More ❯

modeling. Experience with NLP techniques 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 stakeholders. Fluent in English. You More ❯

teams delivering cross-functional projects. 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 Hybrid working applies to this role, with the expectation of 2-3 days per week onsite. #Hybrid #GSKOnyx #LI-GSK #GSKTech1 We create a place where people 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 ❯

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 ❯

using GCP suite incl. BigQuery and Storage Buckets. Experience with data/task pipeline schedulers Prefect, Airflow, Luigi. Experience developing data/analytics applications, reporting and visualisations (PowerBI, Streamlit, Plotly, Tableau). Experience with data quality and control projects. Handling exceptions and interventions on data flows. JOB RESPONSIBILITIES: Work with the Data team to understand end-user requirements and translate More ❯

tools. Familiarity with agile development, 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 Description, as it will not More ❯

reduction LLM Proficiency in Python for developing machine learning models and conducting statistical analyses Strong understanding of data visualization tools and techniques (e.g., Python libraries such as Matplotlib, Seaborn, Plotly, etc.) and the ability to present data effectively Specific technical requirements: Data Science or AI/ML strategy Data Science or AI/ML solution architecture Proficiency in development/ 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 ❯

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 ❯

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 ❯

tools and technologies. Languages & Libraries: Python, R, Pandas, NumPy, scikit-learn, XGBoost, LightGBM, statsmodels. NLP & ML Frameworks: spaCy, Hugging Face Transformers, TensorFlow or PyTorch (as applicable). Visualization tools: Plotly, Seaborn, Matplotlib, Dash, Streamlit. Preferred Qualifications: Fluency in French or German is a strong advantage for future client engagements. Additional Information: Our team is based in the UK, with staff 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 ❯

to the subject matter Strong command of querying and programming languages SQL, R and python - numpy, pandas, sklearn, TensorFlow & Keras), and visualization tools (Excel, Tableau, matplotlib/seaborn/plotly in python packages Experience applying various methods of numerical and categorical modelling techniques and supervised and unsupervised machine learning methods (OLS regression and GLMs, logistic regression, KNN, SVM, decision trees 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 ❯