1 to 25 of 114 Permanent Pandas Jobs in the South West

Science, Engineering, or a related field (or equivalent practical experience). Technical Skills: Deep expertise in Python, including libraries such as Django, Flask, FastAPI, Pandas and NumPy. Strong knowledge of relational and non-relational databases (e.g., PostgreSQL, MongoDB, Redis). Proficiency with cloud platforms (e.g., AWS, Azure, GCP) and containerization More ❯

Science, Engineering, or a related field (or equivalent practical experience). Technical Skills: Deep expertise in Python, including libraries such as Django, Flask, FastAPI, Pandas and NumPy. Strong knowledge of relational and non-relational databases (e.g., PostgreSQL, MongoDB, Redis). Proficiency with cloud platforms (e.g., AWS, Azure, GCP) and containerization More ❯

Science, Engineering, or a related field (or equivalent practical experience). Technical Skills: Deep expertise in Python, including libraries such as Django, Flask, FastAPI, Pandas and NumPy. Strong knowledge of relational and non-relational databases (e.g., PostgreSQL, MongoDB, Redis). Proficiency with cloud platforms (e.g., AWS, Azure, GCP) and containerization More ❯

Science, Engineering, or a related field (or equivalent practical experience). Technical Skills: Deep expertise in Python, including libraries such as Django, Flask, FastAPI, Pandas and NumPy. Strong knowledge of relational and non-relational databases (e.g., PostgreSQL, MongoDB, Redis). Proficiency with cloud platforms (e.g., AWS, Azure, GCP) and containerization More ❯

Science, Engineering, or a related field (or equivalent practical experience). Technical Skills: Deep expertise in Python, including libraries such as Django, Flask, FastAPI, Pandas and NumPy. Strong knowledge of relational and non-relational databases (e.g., PostgreSQL, MongoDB, Redis). Proficiency with cloud platforms (e.g., AWS, Azure, GCP) and containerization More ❯

Science, Engineering, or a related field (or equivalent practical experience). Technical Skills: Deep expertise in Python, including libraries such as Django, Flask, FastAPI, Pandas and NumPy. Strong knowledge of relational and non-relational databases (e.g., PostgreSQL, MongoDB, Redis). Proficiency with cloud platforms (e.g., AWS, Azure, GCP) and containerization More ❯

Science, Engineering, or a related field (or equivalent practical experience). Technical Skills: Deep expertise in Python, including libraries such as Django, Flask, FastAPI, Pandas and NumPy. Strong knowledge of relational and non-relational databases (e.g., PostgreSQL, MongoDB, Redis). Proficiency with cloud platforms (e.g., AWS, Azure, GCP) and containerization More ❯

Science, Engineering, or a related field (or equivalent practical experience). Technical Skills: Deep expertise in Python, including libraries such as Django, Flask, FastAPI, Pandas and NumPy. Strong knowledge of relational and non-relational databases (e.g., PostgreSQL, MongoDB, Redis). Proficiency with cloud platforms (e.g., AWS, Azure, GCP) and containerization More ❯

Science, Engineering, or a related field (or equivalent practical experience). Technical Skills: Deep expertise in Python, including libraries such as Django, Flask, FastAPI, Pandas and NumPy. Strong knowledge of relational and non-relational databases (e.g., PostgreSQL, MongoDB, Redis). Proficiency with cloud platforms (e.g., AWS, Azure, GCP) and containerization More ❯

/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 ❯

and Cloud Dataflow. Proficient in Power BI for data visualization and reporting. Strong programming skills in Python, with experience in data processing libraries like Pandas and NumPy. Experience with data pipeline development, data warehousing, and ETL processes. Strong analytical and problem-solving skills, with attention to detail and ability to More ❯

and Cloud Dataflow. Proficient in Power BI for data visualization and reporting. Strong programming skills in Python, with experience in data processing libraries like Pandas and NumPy. Experience with data pipeline development, data warehousing, and ETL processes. Strong analytical and problem-solving skills, with attention to detail and ability to More ❯

and Cloud Dataflow. Proficient in Power BI for data visualization and reporting. Strong programming skills in Python, with experience in data processing libraries like Pandas and NumPy. Experience with data pipeline development, data warehousing, and ETL processes. Strong analytical and problem-solving skills, with attention to detail and ability to More ❯

and Cloud Dataflow. Proficient in Power BI for data visualization and reporting. Strong programming skills in Python, with experience in data processing libraries like Pandas and NumPy. Experience with data pipeline development, data warehousing, and ETL processes. Strong analytical and problem-solving skills, with attention to detail and ability to More ❯

and Cloud Dataflow. Proficient in Power BI for data visualization and reporting. Strong programming skills in Python, with experience in data processing libraries like Pandas and NumPy. Experience with data pipeline development, data warehousing, and ETL processes. Strong analytical and problem-solving skills, with attention to detail and ability to More ❯

and Cloud Dataflow. Proficient in Power BI for data visualization and reporting. Strong programming skills in Python, with experience in data processing libraries like Pandas and NumPy. Experience with data pipeline development, data warehousing, and ETL processes. Strong analytical and problem-solving skills, with attention to detail and ability to More ❯

and Cloud Dataflow. Proficient in Power BI for data visualization and reporting. Strong programming skills in Python, with experience in data processing libraries like Pandas and NumPy. Experience with data pipeline development, data warehousing, and ETL processes. Strong analytical and problem-solving skills, with attention to detail and ability to More ❯

and Cloud Dataflow. Proficient in Power BI for data visualization and reporting. Strong programming skills in Python, with experience in data processing libraries like Pandas and NumPy. Experience with data pipeline development, data warehousing, and ETL processes. Strong analytical and problem-solving skills, with attention to detail and ability to More ❯

and Cloud Dataflow. Proficient in Power BI for data visualization and reporting. Strong programming skills in Python, with experience in data processing libraries like Pandas and NumPy. Experience with data pipeline development, data warehousing, and ETL processes. Strong analytical and problem-solving skills, with attention to detail and ability to More ❯

in Statistics, Mathematics, Physics, Computer Science, or a related field ✅ At least two years of experience in Machine Learning ✅ Strong proficiency in Python (NumPy, Pandas, Scikit-Learn) and SQL ✅ Experience with deep-learning frameworks like TensorFlow and PyTorch ✅ Knowledge of cloud services (AWS, Google Cloud) and productionising ML models ✅ Ability More ❯

in Statistics, Mathematics, Physics, Computer Science, or a related field ✅ At least two years of experience in Machine Learning ✅ Strong proficiency in Python (NumPy, Pandas, Scikit-Learn) and SQL ✅ Experience with deep-learning frameworks like TensorFlow and PyTorch ✅ Knowledge of cloud services (AWS, Google Cloud) and productionising ML models ✅ Ability More ❯

in Statistics, Mathematics, Physics, Computer Science, or a related field ✅ At least two years of experience in Machine Learning ✅ Strong proficiency in Python (NumPy, Pandas, Scikit-Learn) and SQL ✅ Experience with deep-learning frameworks like TensorFlow and PyTorch ✅ Knowledge of cloud services (AWS, Google Cloud) and productionising ML models ✅ Ability More ❯

in Statistics, Mathematics, Physics, Computer Science, or a related field ✅ At least two years of experience in Machine Learning ✅ Strong proficiency in Python (NumPy, Pandas, Scikit-Learn) and SQL ✅ Experience with deep-learning frameworks like TensorFlow and PyTorch ✅ Knowledge of cloud services (AWS, Google Cloud) and productionising ML models ✅ Ability More ❯

in Statistics, Mathematics, Physics, Computer Science, or a related field ✅ At least two years of experience in Machine Learning ✅ Strong proficiency in Python (NumPy, Pandas, Scikit-Learn) and SQL ✅ Experience with deep-learning frameworks like TensorFlow and PyTorch ✅ Knowledge of cloud services (AWS, Google Cloud) and productionising ML models ✅ Ability More ❯