26 to 50 of 341 Pandas Jobs in England

scalable SaaS platform. Any other ad hoc duties that may be required from time to time Technical Requirements: Proven experience with Python, especially Pandas and NumPy Mastery of SQL and PostgreSQL: schema design, complex queries, indexing and performance optimisation, beyond basic querying Experience with pipeline orchestration and scheduling Proven ability ...

analytical approach. Ability to work on projects independently and own deliverables. Strong proficiency in Python for data manipulation, analysis, visualisation and data science (e.g., Pandas, NumPy, Scikit-learn). Proficiency in data querying languages (e.g., SQL). Solid understanding of software engineering best practices (version control, unit testing, code review ...

analytical approach. Ability to work on projects independently and own deliverables. Strong proficiency in Python for data manipulation, analysis, visualisation and data science (e.g., Pandas, NumPy, Scikit-learn). Proficiency in data querying languages (e.g., SQL). Solid understanding of software engineering best practices (version control, unit testing, code review ...

including Power Pivot, Power Query, DAX, data models and complex financial modelling. Working knowledge of Python for data manipulation and automation, for example using pandas and scripting against vendor APIs. Experience building or maintaining ETL and data pipelines and working with structured data at scale. Understanding of IT infrastructure ...

between technical developers and business teams, showcasing strong leadership, creativity, and ethical problem-solving. Technical Expertise & Tools Python: Advanced, production-grade proficiency (Pandas, NumPy, FastAPI/Flask) with an absolute focus on writing clean, modular, and highly testable code. SQL: Expert querying, database design, partitioning, and optimization strategies for large ...

between technical developers and business teams, showcasing strong leadership, creativity, and ethical problem‐solving. Technical Expertise & Tools Python: Advanced, production‐grade proficiency (Pandas, NumPy, FastAPI/Flask) with an absolute focus on writing clean, modular, and highly testable code. SQL: Expert querying, database design, partitioning, and optimization strategies for large ...

between technical developers and business teams, showcasing strong leadership, creativity, and ethical problem‐solving. Technical Expertise & Tools Python: Advanced, production‐grade proficiency (Pandas, NumPy, FastAPI/Flask) with an absolute focus on writing clean, modular, and highly testable code. SQL: Expert querying, database design, partitioning, and optimization strategies for large ...

between technical developers and business teams, showcasing strong leadership, creativity, and ethical problem-solving. Technical Expertise & Tools : • Python: Advanced, production-grade proficiency (Pandas, NumPy, FastAPI/Flask) with an absolute focus on writing clean, modular, and highly testable code. • SQL: Expert querying, database design, partitioning, and optimization strategies for large ...

data quality testing IaC/Terraform - awareness or practical experience SC Clearance - active clearance required to start Desirable : Docker Airflow/AWS Glue Pandas Data Lakes/Data Warehouses Public sector or consultancy experience Agile delivery experience Experience working alongside data science/ML teams To be Considered: Please apply ...

data quality testing IaC/Terraform - awareness or practical experience SC Clearance - active clearance required to start Desirable : Docker Airflow/AWS Glue Pandas Data Lakes/Data Warehouses Public sector or consultancy experience Agile delivery experience Experience working alongside data science/ML teams To be Considered: Please apply ...

data quality testing IaC/Terraform - awareness or practical experience SC Clearance - active clearance required to start Desirable : Docker Airflow/AWS Glue Pandas Data Lakes/Data Warehouses Public sector or consultancy experience Agile delivery experience Experience working alongside data science/ML teams To be Considered: Please apply ...

technologies and identify opportunities to improve business efficiency through intelligent automation. Skills & Experience Strong Python programming skills with experience using libraries such as Pandas, NumPy, Scikit-learn, XGBoost or LightGBM, and Plotly, Rust, Typescript, Python or Matplotlib. Experience developing machine learning models for prediction, optimisation or classification. Strong SQL skills ...

development. Hands-on experience with SQL for data processing and analytics. Strong programming skills in Python , with experience using data science libraries such as Pandas, Numpy, Scikit-learn, and Keras/PyTorch . Experience with Databricks and Spark for data manipulation and querying. Prior experience in the retail industry, with ...

implementing data science processes. ·Experience in translating customer requirements into technical requirements and development objectives. ·Python expertise covering standard data science libraries (NumPy, pandas, matplotlib, Scikit-learn, PyTorch, etc...), web frameworks (Flask or FastAPI) and visualisation (Dash, Plotly, & Streamlit). ·Proficient in SQL. ·Working with unstructured data ·Building customer ...

Essential Interest in data analytics within private credit, asset-backed finance, securitisation, or related fields. Basics of ABF/securitisation fundamentals Intermediate Python, (especially Pandas) skills for data analysis, motivation to write production-ready code. Basics of git, CI/CD and collaborative development environments Intermediate SQL skills Ability ...

navigate large, messy warehouses (BigQuery, Snowflake, Redshift, or similar) and write performant, readable queries. Solid Python (or R) for analysis and modeling: pandas, scikit-learn, statsmodels, and at least one deep-learning or gradient-boosting framework (XGBoost, LightGBM, PyTorch, TensorFlow). Experimentation fluency. You understand the math behind A/ ...

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 ...

related fields. Understanding of ABF/securitisation fundamentals, including collateral analysis, portfolio monitoring, and structure mechanics (e.g. waterfalls, triggers). Advanced Python, (especially Pandas) skills for data analysis, modelling, and production-ready code. Knowledge of git, CI/CD and collaborative development environments Intermediate SQL skills Ability to analyse concentration ...

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 ...

Quality and Data Governance techniques. Knowledge on MLOps and Feature engineering. Exposure to common data analysis and ML technologies such as on scikit-learn, pandas, NumPy, XGBoost, LightGBM. Exposure to tools like Apache Oozie, Apache Airflow. £70,000 - £105,000 a year Why you’ll love it here: We want ...

Quality and Data Governance techniques. Knowledge on MLOps and Feature engineering. Exposure to common data analysis and ML technologies such as on scikit-learn, pandas, NumPy, XGBoost, LightGBM. Exposure to tools like Apache Oozie, Apache Airflow. £70,000 - £105,000 a year Why you’ll love it here: We want ...