51 to 75 of 142 Pandas Jobs in the UK

a commercial data analysis role 📊 Strong technical skills in SQL Strong dashboard and data viz skills in PowerBI and DAX Strong statistical analytics experience in Python and associated libraries PANDAS, NumPy, SciPy etc. 🐍 Automate when you should with Power Platform and other tools Experience engaging with stakeholders 🗣️ Ability to interrogate data, find trends, anomalies and leverage this data to make More ❯

scalable workflows. Help grow and shape the data science team and its role within the wider business. What We’re Looking For Strong technical foundation with proficiency in Python (Pandas, NumPy, Scikit-learn), SQL, and cloud platforms (GCP or AWS). Experience with modern data warehouses (BigQuery, Snowflake, Redshift). Proven experience in deploying machine learning models or optimisation algorithms More ❯

s or Master’s degree in a STEM field: Statistics, Mathematics, Computer Science, Engineering, or similar. Programming proficiency: Strong experience with Python and SQL; familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Machine learning expertise: Hands-on experience in supervised and unsupervised learning, with exposure to NLP, computer vision, or deep learning a plus. Data visualisation More ❯

AI requirements into scalable solutions. Essential Experience & Skills 5+ years' engineering experience, with at least 3 years in ML Ops, Data Engineering, or AI infrastructure. Strong Python engineering skills (Pandas, Numpy, Jupyter, FastAPI, SQLAlchemy). Expertise in AWS services (certification desirable). Proven experience deploying and supporting LLMs in production. Strong understanding of LLM fine-tuning (PyTorch, TensorFlow, Hugging Face More ❯

Required Skills & Experience: Bachelor's degree in Computer Science, Mathematics, Statistics, Business Administration or related field Advanced knowledge of SQL Good knowledge of Python, including popular Data Science packages (pandas, matplotlib, seaborn, numpy, sklearn) Familiarity with what is happening under the hood of popular Machine Learning algorithms Strong problem-solving skills and attention to detail Strong communication and collaboration skills More ❯

recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large datasets A passion More ❯

recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large datasets A passion More ❯

recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large datasets A passion More ❯

recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large datasets A passion More ❯

recently completed Master’s degree from a Russell Group university in Data Science, Computer Science, Mathematics, Physics, Engineering, or a related discipline Strong programming skills in Python (e.g. NumPy, pandas, scikit-learn, matplotlib); R is also welcome A solid understanding of core machine learning concepts, data wrangling, and model evaluation Proficiency with SQL and experience handling large datasets A passion More ❯

skills. Bonus skills • Experience deploying and managing applications with Azure and Docker. • Familiarity with frameworks like LangChain and Retrieval-Augmented Generation (RAG) models for AI-driven applications. • Experience with pandas for data manipulation. What’s on offer • Regular salary reviews recognising performance and contribution. • Generous annual leave: 25 days plus three days over Christmas. • Flexible hybrid working to support work More ❯

learning models at scale. Deep familiarity with core ML concepts (classification, time-series, statistical modeling) and their real-world tradeoffs. Fluency in Python and commonly used ML libraries (e.g. pandas, scikit-learn; experience with PyTorch or TensorFlow is a plus). Experience with model lifecycle management (MLOps), including monitoring, retraining, and model versioning. Ability to work across data infrastructure, from More ❯

or similar domains with forecasting needs. Skills and competencies Essential: Experience working with Python or R in a production or research setting. Strong experience using data wrangling tools (e.g. Pandas, NumPy, dplyr). Solid grasp of statistical modelling and machine learning, with hands-on use of libraries such as scikit-learn, xgboost, PyMC3, TensorFlow. Experience working with SQL and relational More ❯

or similar domains with forecasting needs. Skills and competencies Essential: Experience working with Python or R in a production or research setting. Strong experience using data wrangling tools (e.g. Pandas, NumPy, dplyr). Solid grasp of statistical modelling and machine learning, with hands-on use of libraries such as scikit-learn, xgboost, PyMC3, TensorFlow. Experience working with SQL and relational More ❯

or similar domains with forecasting needs. Skills and competencies Essential: Experience working with Python or R in a production or research setting. Strong experience using data wrangling tools (e.g. Pandas, NumPy, dplyr). Solid grasp of statistical modelling and machine learning, with hands-on use of libraries such as scikit-learn, xgboost, PyMC3, TensorFlow. Experience working with SQL and relational More ❯

or similar domains with forecasting needs. Skills and competencies Essential: Experience working with Python or R in a production or research setting. Strong experience using data wrangling tools (e.g. Pandas, NumPy, dplyr). Solid grasp of statistical modelling and machine learning, with hands-on use of libraries such as scikit-learn, xgboost, PyMC3, TensorFlow. Experience working with SQL and relational More ❯

or similar domains with forecasting needs. Skills and competencies Essential: Experience working with Python or R in a production or research setting. Strong experience using data wrangling tools (e.g. Pandas, NumPy, dplyr). Solid grasp of statistical modelling and machine learning, with hands-on use of libraries such as scikit-learn, xgboost, PyMC3, TensorFlow. Experience working with SQL and relational More ❯

frameworks Proficiency in analysing and transforming large datasets, with experience in metadata schemas. Knowledge of data pipelines, ingestion processes, and automated categorisation. Proficient in Python (with libraries such as Pandas, NLTK, spaCy) and APIs for AI models. Next Steps: This client will only accept workers operating via an Umbrella or PAYE engagement model. If you are interested in applying for More ❯

async/await patterns * Data structures and algorithms for efficient data processing and model optimisation * Error handling and debugging using try-catch blocks, logging, and debugging tools Data Processing: * Pandas and NumPy for data manipulation, cleaning, and numerical operations * SQLAlchemy or psycopg2 for database connectivity and ORM operations * Boto3 for AWS service integration and automation AWS (working within Technical Lead More ❯

async/await patterns * Data structures and algorithms for efficient data processing and model optimisation * Error handling and debugging using try-catch blocks, logging, and debugging tools Data Processing: * Pandas and NumPy for data manipulation, cleaning, and numerical operations * SQLAlchemy or psycopg2 for database connectivity and ORM operations * Boto3 for AWS service integration and automation AWS (working within Technical Lead More ❯

work. Can do, problem solving mindset. Curious and willing to onward develop and learn. Desirable Criteria: · Relevant higher degree (Masters or PhD) · Experience with Python, including libraries such as Pandas and Geopandas. · Experience with Ruby scripting in Infoworks ICM Exchange. · Experience with Software Engineering/Data Science in the Wastewater sector. · Familiarity with cloud computing (AWS or other cloud computing More ❯

work. Can do, problem solving mindset. Curious and willing to onward develop and learn. Desirable Criteria: · Relevant higher degree (Masters or PhD) · Experience with Python, including libraries such as Pandas and Geopandas. · Experience with Ruby scripting in Infoworks ICM Exchange. · Experience with Software Engineering/Data Science in the Wastewater sector. · Familiarity with cloud computing (AWS or other cloud computing More ❯

work. Can do, problem solving mindset. Curious and willing to onward develop and learn. Desirable Criteria: · Relevant higher degree (Masters or PhD) · Experience with Python, including libraries such as Pandas and Geopandas. · Experience with Ruby scripting in Infoworks ICM Exchange. · Experience with Software Engineering/Data Science in the Wastewater sector. · Familiarity with cloud computing (AWS or other cloud computing More ❯

a similar role. Strong programming skills and a good understanding of software engineering principles and clean code practices. Expert-level knowledge of Python for machine learning and data manipulation (pandas, NumPy). Advanced experience with SQL for data querying and manipulation. Experience with Git, Bash, Docker, and machine learning pipelines. Experience with open-source machine learning libraries like scikit-learn More ❯

joins, CTEs, window functions, optimization techniques) Advanced skills in Microsoft Excel (pivot tables, lookups, data analysis toolpak, macros a plus) Experience writing Python for data manipulation, automation, or visualization (pandas, matplotlib, seaborn) Hands-on experience working with BigQuery or other cloud-based data warehouses (Redshift, Snowflake, etc.) and JSON data structures Strong team player and desire to support work of More ❯