1 to 25 of 37 Pandas Jobs in 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 ...

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 ...

stress-testing, simulation analysis, rare event modeling, and stochastic modeling preferred but not required. Substantial experience with Python, R, and relevant libraries (e.g., numpy, pandas, scikit, pytorch, tidyverse, caret, ggplot, etc.). Proven experience developing, refining, and monitoring NLP models. Familiarity with database management tools and techniques (e.g., SQL, Selenium ...

software development experience, ideally supporting Portfolio Managers, traders, or investment teams. Strong Python development skills, including experience with scientific and data libraries such as pandas, NumPy, SciPy, and related tooling. Experience designing and maintaining production-grade software, including reusable libraries, APIs, data-processing workflows, and automated testing. Experience building data ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

least 2 years’ experience working as a data engineer (ideally consulting/financial services) – salary and level will reflect experience. Proficiency in Python (pandas, numpy) Professional experience with Azure cloud services (AWS/GCP acceptable with deeper experience) Strong experience deploying clean, maintainable, production-level code. Basic understanding ...

your certifications current and stay on top of emerging tools, especially in GenAI and agentic AI We're looking for: Advanced Python, including NumPy, Pandas and Scikit-learn, with hands-on experience building, training and deploying ML models Strong practical knowledge of GenAI, including prompt engineering, LLM optimisation, multimodal ...

technical people A logical, curious approach to solving problems Willingness to learn quickly and take feedback Desirable experience: Familiarity with libraries such as pandas, NumPy, scikit-learn, PyTorch or TensorFlow Experience calling a large language model through an API, or building a simple prompt-based tool Exposure to cloud platforms ...

algorithms Familiarity with Python and introductory experience using machine learning frameworks such as PyTorch or TensorFlow , alongside basic data analysis tools like NumPy and Pandas , with exposure to version control using Git and collaborative platforms such as GitHub If you are passionate about AI and ready to take the first ...

Publisher: Build interactive OAS dashboards, analyses, and BI Publisher data models, layouts, bursting, and automated schedules. Python Automation: Design production-grade Python scripts (pandas, oracledb, SQLAlchemy, openpyxl, etc.) to replace Access macros, automate extraction, and deliver automated report packs. Testing & Delivery: Conduct parallel runs, complete data reconciliation, establish rollback plans ...

Publisher: Build interactive OAS dashboards, analyses, and BI Publisher data models, layouts, bursting, and automated schedules. Python Automation: Design production-grade Python scripts (pandas, oracledb, SQLAlchemy, openpyxl, etc.) to replace Access macros, automate extraction, and deliver automated report packs. Testing & Delivery: Conduct parallel runs, complete data reconciliation, establish rollback plans ...

logic into efficient code implementations to turn source data into usable structured data for downstream applications. Implement data transformations and structuring using tools like Pandas and Pydantic to ensure data quality, consistency, and adherence to business logic requirements. Collaborate with data scientists and analysts to support data-driven decision-making. ...

Knowledge: Practical understanding of machine learning fundamentals (classification, regression, clustering, ranking, NLP, or LLMs).Data & ML Ecosystem: Familiarity with data processing libraries (e.g. Pandas, NumPy) and ML frameworks (e.g. PyTorch, Scikit-learn or XGBoost).Growth Mindset: A genuine interest in distributed system and software design, concurrent algorithms, data structures ...

services. Work with technologies including Python, AWS (EKS, S3, RDS and Terraform), and AI/ML and data-science libraries such as Google ADK, pandas and FAISS. Help develop and evolve AWS platform infrastructure using Terraform, including RDS instances and EKS clusters. Mentor junior developers in engineering best practices, including ...

BigQuery, Redshift) and data ingestion patterns (batch, streaming, CDC).Hands-On Development - Proficiency in programming (e.g., JavaScript, Python, SQL, R) and data frameworks like pandas or Jupyter. Excellent Communication - Strong presentation skills; adept at explaining complex ideas and guiding stakeholders toward impactful solutions. Curiosity & Continuous Learning - Passion for exploring ...

improvements into production. Support performance testing and ongoing optimisation. Key Skills & Experience Entity resolution, record linkage or fuzzy matching experience. Strong Python experience, including pandas, NumPy and scikit-learn. Solid SQL skills and experience working with large datasets. Experience with Elasticsearch, Kubernetes and Docker. Understanding of precision, recall and false ...

products, and interpreting insights to support data literacy across the organisation. Required Skills:Extensive experience in data analysis using python, especiallyusing libraries such as Pandas and NumPy Relevant experience with Power BI or similar tools such as Tableau or Qlik for data storytelling, data visualisation and reporting Strong programming skills ...

improvements into production. Support performance testing and ongoing optimisation. Key Skills & Experience Entity resolution, record linkage or fuzzy matching experience. Strong Python experience, including pandas, NumPy and scikit-learn. Solid SQL skills and experience working with large datasets. Experience with Elasticsearch, Kubernetes and Docker. Understanding of precision, recall and false ...

Publisher: Build interactive OAS dashboards, analyses, and BI Publisher data models, layouts, bursting, and automated schedules. Python Automation: Design production-grade Python scripts (pandas, oracledb, SQLAlchemy, openpyxl, etc.) to replace Access macros, automate extraction, and deliver automated report packs. Testing & Delivery: Conduct parallel runs, complete data reconciliation, establish rollback plans ...

Publisher: Build interactive OAS dashboards, analyses, and BI Publisher data models, layouts, bursting, and automated schedules. Python Automation: Design production-grade Python scripts (pandas, oracledb, SQLAlchemy, openpyxl, etc.) to replace Access macros, automate extraction, and deliver automated report packs. Testing & Delivery: Conduct parallel runs, complete data reconciliation, establish rollback plans ...