76 to 100 of 103 Pandas Jobs in the UK excluding London

Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real ...

ProjectApply your Python skills by building a car price prediction app using Python and Streamlit.Step 6 – Python for DataLearn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.Step 7 – AI Sentiment Analysis ProjectWork with Hugging Face to build a sentiment analysis classifier using real-world ...

ProjectApply your Python skills by building a car price prediction app using Python and Streamlit.Step 6 – Python for DataLearn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.Step 7 – AI Sentiment Analysis ProjectWork with Hugging Face to build a sentiment analysis classifier using real-world ...

ProjectApply your Python skills by building a car price prediction app using Python and Streamlit.Step 6 – Python for DataLearn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.Step 7 – AI Sentiment Analysis ProjectWork with Hugging Face to build a sentiment analysis classifier using real-world ...

Python skills by building a car price prediction app using Python and Streamlit. Step 6 Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real ...

us. What skills, knowledge and experience will you need? Strong experience with Python (core programming language), along with common data science libraries such as Pandas, NumPy and SciKit-Learn Experience applying machine learning and AI techniques (classification, clustering or regression) to real problems, ensuring solutions are robust and meet ...

us. What skills, knowledge and experience will you need? Strong experience with Python (core programming language), along with common data science libraries such as Pandas, NumPy and SciKit-Learn Experience applying machine learning and AI techniques (classification, clustering or regression) to real problems, ensuring solutions are robust and meet ...

us. What skills, knowledge and experience will you need? Strong experience with Python (core programming language), along with common data science libraries such as Pandas, NumPy and SciKit-Learn Experience applying machine learning and AI techniques (classification, clustering or regression) to real problems, ensuring solutions are robust and meet ...

us. What skills, knowledge and experience will you need? Strong experience with Python (core programming language), along with common data science libraries such as Pandas, NumPy and SciKit-Learn Experience applying machine learning and AI techniques (classification, clustering or regression) to real problems, ensuring solutions are robust and meet ...

heavily aligned to the ESRI ecosystem, including: • ArcGIS Pro • ArcGIS Online • ArcGIS Field Maps • Migration away from legacy ArcMap Key technologies include: • Python • ArcPy • Pandas • ETL processes • SQL/SQLite Desirable experience: • C# with ArcGIS Pro SDK • Node.js or JavaScript frameworks What We’re Looking For • Strong experience working with ...

trading lifecycle and key risk and control concepts (VaR, P&L, exposure, mark-to-market). Technical & Data Skills Strong proficiency in Python, especially Pandas for data preparation and analysis. Solid SQL skills (Databricks SQL advantageous) for manipulating structured datasets. Understanding of data modelling, including ERDs, object models, lifecycle concepts ...

+ ML/NLP stack High quality production code in Python . Libraries such as NetworkX , TensorFlow or PyTorch , NLTK, spaCy, Hugging Face, BERT , Pandas, NumPy, scikit learn . Graph based ML familiarity: link prediction, anomaly detection, traversal, community detection. NLP/NLU skills: entity/relation recognition, summarisation, topic ...

relational databases Git or similar version control Desirable but not essential: Cloud platforms Docker or containerised environments Data processing libraries such as NumPy or Pandas You should be comfortable working independently, communicating clearly, and taking responsibility for the systems you work on. Salary and benefits Salary ...

Power BI experience (advanced DAX, dimensional modelling, performance optimisation) Professional dashboard and semantic model development Fluent SQL (complex joins, transformations, optimisation) Python for analysis (pandas, statistics, scikit-learn) Advanced Excel skills Experience & Background: proven experience in consulting or fast-moving commercial environments Strong academic background in a quantitative discipline Experience ...

parsing, rules engines, and data quality checks, with an emphasis on writing maintainable, well-structured code Experience using Python libraries for data wrangling (e.g. Pandas, Polars), modelling (e.g. scikit-learn), and visualisation (e.g. matplotlib) Experience with modern data tooling (e.g. Spark, Azure Data Factory) or the ability to implement equivalent ...

understanding of media, marketing, pricing, and promotional levers, and how they influence commercial performance. Solid Python skills for data manipulation, modelling, and visualisation (e.g., pandas, NumPy, scikit-learn). High proficiency with Microsoft Office, particularly Excel, PowerPoint, and Word. Exceptional attention to detail and a commitment to analytical rigour. Ability ...

Strong SQL skills, with experience writing and optimising complex queries against financial data Solid working knowledge of Python for data analysis and manipulation (e.g. Pandas) Experience using Power BI to visualise financial data and communicate insights clearly Confident communication skills, with the ability to explain financial insights to non-technical ...

Machine Learning (sci-kit learn, tensorflow, metaflow, MLOps) Preferred Experience: Experience with frameworks like Metaflow, Prefect, etc. Experience with geospatial libraries i.e. Raster, Geo-pandas, Vector databases Bright Purple is an equal opportunities employer: we are proud to work with clients who share our values of diversity and inclusion ...

Machine Learning concepts (feature engineering, overfitting, bias/variance trade-off, cross-validation, model evaluation) Experience working with common ML libraries (e.g. scikit-learn, pandas, NumPy) Ability to work independently in a fast-paced contract environment Active SC Clearance To apply, email: or call ...

technical stakeholders A T-SQL expert , with strong experience writing, optimising, and debugging complex queries and procedures Strong working knowledge of Python (e.g. Pandas) for scripting and data manipulation, with an interest in building production-grade pipelines Deep understanding of Power BI data modelling , performance optimisation, and the impact ...

performance tuning Python scripting for automation, parsing, rules engines, anddata-quality checks; ability to write maintainable code Experience with Python packages such as Pandas/Polars, scikit-learn, matplotlib Experience with modern data tooling (e.g., Spark, cloud data-integration tooling) or the ability to implement equivalent functionality in code Proven ...

drivers, administration, and Cypher. Ontology & Semantics: Strong experience with data modeling, ontologies, and semantic technologies (RDF, OWL, SPARQL). Programming: High proficiency in Python (pandas, networkx, py2neo, neo4j-driver). Graph ML: Experience with Neo4j GDS or frameworks such as PyTorch Geometric or DGL. Production Engineering: Hands-on experience with ...

DAX. Solid understanding of relational databases and data warehouse concepts (dimensions, facts, star schemas) and associated technologies (e.g., Databricks). Experience with Python (including Pandas/PySpark). Familiarity with software development and source control, in particular Git and CI/CD practices. Excellent communication and stakeholder management skills — able ...

DAX. Solid understanding of relational databases and data warehouse concepts (dimensions, facts, star schemas) and associated technologies (e.g., Databricks). Experience with Python (including Pandas/PySpark). Familiarity with software development and source control, in particular Git and CI/CD practices. Excellent communication and stakeholder management skills — able ...

DAX. Solid understanding of relational databases and data warehouse concepts (dimensions, facts, star schemas) and associated technologies (e.g., Databricks). Experience with Python (including Pandas/PySpark). Familiarity with software development and source control, in particular Git and CI/CD practices. Excellent communication and stakeholder management skills — able ...