51 to 60 of 60 Pandas Jobs in London

compliance, clean code, unit testing, and version control (Git, Unix, pytest). Experience retrieving data from structured, unstructured and web sources (Selenium/PlayWright, Pandas, XML etc) Must have experience building data engineering pipelines in Azure Experience in Azure including Azure Fabric, Data Factory and Azure integrated services such ...

This opportunity is hybrid with 3 days a week on site required) To be considered for this position: Essential : Hardware Integration, Python (NumPy, SciPy, Pandas, Matplotlib, Sklearn, PyTorch), Desirable : GUI (Tkinter, PySide), C++, Life Science experience (Optics, Lenses etc.) Responsibilities/Requirements • Develop and maintain Python-based software for scientific ...

with RPA and workflow automation tools (e.g. Power Automate, UiPath). Practical experience developing and deploying machine learning models in Python (e.g. scikit-learn, pandas). Experience working with APIs and integrating systems across business platforms. Strong analytical thinking and problem-solving skills with the ability to translate complex data ...

handle data, spot inconsistencies, and perform basic analyses. Expertise in Excel, and familiarity with other tools such as SQL, R and/or Pandas (Python), is required. Advanced statistical modelling or data science is not required. Experience with regulated industries or tech/finance companies: Having worked in or with ...

supporting the development of a new AI-driven underwriting platform being built in partnership with a software provider. You’ll work extensively with Python (pandas, numpy) and SQL, transforming unstructured data into structured, decision-ready insights, and helping integrate broker data via API. The team is small and high-impact. ...

both technical and non-technical stakeholders, including coaches, scouts, analysts, and traders. Skills & Attributes Strong background in Python, with experience in data manipulation (Pandas/Polars) and statistical modelling. Industry experience in a data science role focussing on sports analytics. Knowledge of advanced football metrics (possession value models highly desirable ...

reporting layer design Experience analysing sales, campaign, and market share data Ability to communicate insights clearly to non-technical stakeholders Nice to Have Python (pandas) Wider GCP experience Experience with GfK or similar syndicated market data Background in retail, consumer, or e-commerce environments ...

context) Must-have Strong analytical & problem-solving skills: Able to decompose messy, real-world problems and craft tailored solutions. Proficient in Python & data science: pandas/Polars, NumPy, scikit-learn, Jupyter, Plotly (or similar) Confident with data cleaning, analysis, transformation, and visualisation. Excellent communication: Advanced written and spoken English; concise … Actions), SQL/Postgres. TypeScript fluency: Able to read TS and collaborate on data contracts with the Command team. Our environment Python, Polars/pandas, NumPy, scikit-learn, Plotly, SQL/Postgres, NVIDIA cuOpt, HERE APIs, AWS (S3, ECS/Lambda, SNS/SQS), Docker, GitHub Actions, TypeScript/Node ...

Career Progression What the role entails: Some of the main duties of the Data Engineer will include: Develop high-performance data pipelines using Python (Pandas) or Spark within Palantir Foundry, ensuring seamless data transformation and integration to support analytics, reporting, and machine learning use cases across the enterprise. Design … Palantir Foundry, leveraging tools such as Foundry Code Workbooks, Pipelines, and Object Explorer for efficient data processing and integration. Strong coding skills in Python (Pandas) and PySpark: Essential experience in using Python (Pandas) and PySpark for data manipulation, transformation, and pipeline development within Palantir Foundry, ensuring high performance and scalability ...

become an SME in what cryptocurrency insights Trading and Investment businesses are interested in, to feed into product development Using SQL and Python (Pandas) to pull and analyse Digital Assets and Cryptocurrency market data from different sources To be a successful applicant, you will need: 3+ years commercial experience working … write engaging and thought-provoking research publications from financial asset insights (ideally digital assets) Strong data manipulation and analytical experience with SQL and Python (Pandas) with a proven ability to derive insights from complex datasets Experience with Layer 1 and Layer 2 architectures as well as on-chain data tools ...