Find your next tech and IT Job or contract Pandas in Wales

What you need to know about Pandas

Pandas is an open-source library for Python, designed for data manipulation and analysis. Very popular in the field of data science and information processing, Pandas offers flexible and powerful data structures, such as DataFrames and Series, allowing efficient management of tabular or structured data. With Pandas, it is possible to perform various operations, such as data cleaning, transformations, statistical analysis, or simple visualization. It supports many file formats, such as CSV, Excel, JSON or SQL, facilitating data import and export. Thanks to its ease of use, performance, and advanced features, Pandas is an essential tool for data scientists, analysts, and developers, enabling them to work quickly with complex data.

Discover the latest IT & tech jobs in Wales, with a growing focus on software development and IT services.

Contract roles and jobs for Pandas

Data Scientist

The Data Scientist uses Pandas to process and analyze large amounts of data, perform statistical analyses, and prepare datasets for machine learning models.

Data Analyst

The Data Analyst uses Pandas to extract, clean, and analyze data from various sources to provide insights to decision-making teams and optimize performance.

Python Developer

The Python Developer uses Pandas in applications requiring advanced data management, such as creating reports, manipulating databases, or integrating data systems.

Business Intelligence Consultant (PowerBI, SAS, Tableau...)

The Business Intelligence Consultant (PowerBI, SAS, Tableau...) uses Pandas to transform and prepare data before importing it into BI tools for creating visualizations and decision-making reports.

0 results

Contracts

Contractor Permanent

Location
1

Wales, United Kingdom

Remote type

Hybrid Remote On-site

Rate minimum.

£150 £1300 and more

Salary minimum

£20k £250k

Experience

0-2 years experience 3 to 5 years experience 6 to 10 years experience +10 years experience

Date posted

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