1 to 25 of 31 Permanent Pandas Jobs in the South West

/Financial Markets (e.g. trading products) and growth of technology. Advantageous, but not essential Any experience with Python and its data processing libraries e.g. Pandas, Py-Spark. An understanding of the basics of trade modelling and lifecycle. Basic knowledge of any energy trading regulations i.e. EMIR/REMIT/Dodd More ❯

spatial, and network data. Excellent programming skills in common languages (e.g., Python) and packages used by the energy modeling field (e.g., geopandas, numpy, networkx, pandas), use of software best practices (e.g., Git), and familiarity with high-performance computing environments. Experience with extracting, transforming, and loading processes and tools for handling More ❯

driven architectures Clear communicator with experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments More ❯

driven architectures Clear communicator with experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments More ❯

driven architectures Clear communicator with experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments More ❯

driven architectures Clear communicator with experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments More ❯

driven architectures Clear communicator with experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments More ❯

driven architectures Clear communicator with experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments More ❯

driven architectures Clear communicator with experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments More ❯

driven architectures Clear communicator with experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments More ❯

driven architectures Clear communicator with experience writing technical documentation Comfortable working with Agile, TOGAF, or similar frameworks Desirable: Experience with Python and data libraries (Pandas, Scikit-learn) Knowledge of ETL tools (Airflow, Talend, NiFi) Familiarity with analytics platforms (SAS, Posit) Prior work in high-performance or large-scale data environments More ❯

or similar. Technical knowledge of relevant ML performance metrics and how to apply them to monitor models. Strong knowledge of Python (such as numpy, pandas, matplotlib, streamlit, and opencv). Strong knowledge of modern programming paradigms (OOP, functional programming etc). Ability to write clean, robust, readable, error handling and More ❯

experience with image data , ideally in defence, aerospace, or industrial domains (e.g., satellite, UAV, thermal imaging). Proficient in Python and libraries such as Pandas, NumPy, OpenCV, TensorFlow, or PyTorch . Experience with data annotation tools (e.g., Labelbox, CVAT, VIA, or custom platforms). Strong knowledge of data handling best More ❯

experience with image data , ideally in defence, aerospace, or industrial domains (e.g., satellite, UAV, thermal imaging). Proficient in Python and libraries such as Pandas, NumPy, OpenCV, TensorFlow, or PyTorch . Experience with data annotation tools (e.g., Labelbox, CVAT, VIA, or custom platforms). Strong knowledge of data handling best More ❯

experience with image data , ideally in defence, aerospace, or industrial domains (e.g., satellite, UAV, thermal imaging). Proficient in Python and libraries such as Pandas, NumPy, OpenCV, TensorFlow, or PyTorch . Experience with data annotation tools (e.g., Labelbox, CVAT, VIA, or custom platforms). Strong knowledge of data handling best More ❯

of supervised and unsupervised learning, deep learning (CNNs, RNNs, GANs), and reinforcement learning. Data Handling: Proficient in data manipulation and analysis using tools like Pandas, NumPy, and SQL. Experience working with large datasets. Category: Software About the Organization: ioMosaic is an integrated process safety and risk management consulting firm focused More ❯

in Python with experience in C++ development Experience with Linux operating systems (e.g. Red Hat, Ubuntu) Experience with data analysis and manipulation tools (e.g. Pandas) Experience working across the Software Development Lifecycle (SDLC) Experience of using the Unified Modelling Language Excellent communication skills Desirable: Experience in the development of computer More ❯

in Python with experience in C++ development Experience with Linux operating systems (e.g. Red Hat, Ubuntu) Experience with data analysis and manipulation tools (e.g. Pandas) Experience working across the Software Development Lifecycle (SDLC) Experience of using the Unified Modelling Language Excellent communication skills Desirable: Experience in the development of computer More ❯

in Python with experience in C++ development Experience with Linux operating systems (e.g. Red Hat, Ubuntu) Experience with data analysis and manipulation tools (e.g. Pandas) Experience working across the Software Development Lifecycle (SDLC) Experience of using the Unified Modelling Language Excellent communication skills Desirable: Experience in the development of computer More ❯

of transfer learning and popular augmentation techniques Able to apply machine learning to real-life problems Vision Transformers, DeepLabv3, SegFormer, etc.Python, Scikit-Learn, NumPy, Pandas and PyTorch/TensorFlow/Keras Thrive in a cross-functional working environment Possess a clear passion for data science beyond the day job Nice More ❯

of transfer learning and popular augmentation techniques Able to apply machine learning to real-life problems Vision Transformers, DeepLabv3, SegFormer, etc.Python, Scikit-Learn, NumPy, Pandas and PyTorch/TensorFlow/Keras Thrive in a cross-functional working environment Possess a clear passion for data science beyond the day job Nice More ❯

of transfer learning and popular augmentation techniques Able to apply machine learning to real-life problems Vision Transformers, DeepLabv3, SegFormer, etc.Python, Scikit-Learn, NumPy, Pandas and PyTorch/TensorFlow/Keras Thrive in a cross-functional working environment Possess a clear passion for data science beyond the day job Nice More ❯

of transfer learning and popular augmentation techniques Able to apply machine learning to real-life problems Vision Transformers, DeepLabv3, SegFormer, etc.Python, Scikit-Learn, NumPy, Pandas and PyTorch/TensorFlow/Keras Thrive in a cross-functional working environment Possess a clear passion for data science beyond the day job Nice More ❯

Experience working within a variety of development frameworks and practices e.g. DevOps, DevSecOps, SCRUM, MLOps, XP. Experience with data analysis and manipulation tools (e.g. Pandas) Experience of a broad section of the Software Development Lifecycle (SDLC) with specific focus on: Design(Architecting, High-Level Design and Low-Level Design) Development More ❯

Experience working within a variety of development frameworks and practices e.g. DevOps, DevSecOps, SCRUM, MLOps, XP. Experience with data analysis and manipulation tools (e.g. Pandas) Experience of a broad section of the Software Development Lifecycle (SDLC) with specific focus on: Design(Architecting, High-Level Design and Low-Level Design) Development More ❯