26 to 50 of 58 Pandas Jobs in the UK excluding London

with active SC will be prioritised) Within this role, you will be responsible for: * Cleaning and processing tabular data (Excel, CSV, databases) * Building data transformation pipelines using Python and pandas * Writing SQL queries to extract and manipulate relational data * Implementing data validation and quality assurance processes * Working with JSON, XML, and CSV formats * Supporting metadata cataloging and reference data management More ❯

with active SC will be prioritised) Within this role, you will be responsible for: * Cleaning and processing tabular data (Excel, CSV, databases) * Building data transformation pipelines using Python and pandas * Writing SQL queries to extract and manipulate relational data * Implementing data validation and quality assurance processes * Working with JSON, XML, and CSV formats * Supporting metadata cataloging and reference data management More ❯

with active SC will be prioritised) Within this role, you will be responsible for: Cleaning and processing tabular data (Excel, CSV, databases) Building data transformation pipelines using Python and pandas Writing SQL queries to extract and manipulate relational data Implementing data validation and quality assurance processes Working with JSON, XML, and CSV formats Supporting metadata cataloging and reference data management More ❯

large, complex datasets. Desirable Experience & Skills Practical knowledge of data engineering practices (designing and building robust data pipelines) Knowledge of python and core libraries applicable to data science (e.g., pandas, numpy, statsmodel More ❯

AI models. Collaborate with data scientists, software engineers, and subject-matter experts to deliver innovative solutions. Essential Skills & Experience Advanced Python programming skills with hands-on experience using NumPy, Pandas, Scikit-learn, Langchain, LlamaIndex , and Azure AI Foundry . Proven experience working with Azure cloud services and Generative AI R&D. Strong understanding of machine learning, data modelling , and natural More ❯

Programming: Strong understanding of OOP principles, functions, classes, list comprehensions, generators, and exception handling. Experience managing virtual environments and dependencies using pip or venv. Data Manipulation & Analysis: Proficiency with Pandas , NumPy (and optionally Polars). Strong data cleaning, transformation, grouping, merging, and aggregation skills. Experience with SQL for data querying. Software Engineering Best Practices: Experience with Git for version control. More ❯

reports and concise business narratives Contributing to simple, reliable data pipelines and automated quality checks About You Minimum 1 year of commercial Data Science experience Strong hands-on Python (pandas, NumPy, scikit-learn) and SQL Sound understanding of statistics and forecasting Confident communicator - able to explain technical work clearly to non-technical audiences Why Apply Opportunity to build from scratch More ❯

key strategic initiatives, including price, volume, and mix analysis and margin optimisation . Tech Environment Core Skills: SQL (essential), Power BI (advantageous) Platform: Microsoft Fabric (mid-implementation) Languages: Python (pandas/numpy - desirable, not essential) Other: Salesforce & Google Analytics exposure beneficial About You Proven experience as an Insight Analyst , ideally in wholesale, distribution, or another product-heavy industry. Strong knowledge More ❯

eCommerce: Google Analytics, conversion optimisation Skills & Experience Essential Strong SQL proficiency for data extraction and transformation Advanced Excel (pivot tables, VLOOKUPs, formulas) Power BI or Tableau experience Python familiarity (pandas, numpy) Proven data or BI role background Experience with large, complex datasets History of delivering practical insights Strong communication skills Desirable Wholesale/distribution/supply chain experience ERP systems More ❯

understanding of probability, statistics, and linear algebra, with the ability to apply these concepts to real-world problems. Extensive proficiency in Python, including mastery of libraries like scikit-learn, pandas, seaborn, and matplotlib. Significant experience writing and optimising complex SQL queries for data retrieval and manipulation in large-scale databases. Strong experience of Azure Data Stack (Databricks/Data Factory More ❯

from the latest LLM and ML research. What We’re Looking For MSc or PhD in Computer Science, Data Science, Mathematics, Physics, or a related field. Strong Python skills (pandas, NumPy, scikit-learn, PyTorch). Curiosity, rigour, and drive to improve model performance. Why Join Us Work on real applied LLMs from training to deployment. Collaborate with an ambitious, research More ❯

to display the following: At least 3 years commercial experience in a similar role - Data Analyst or Engineer Excellent SQL skills including (CTEs and window functions) Excellent Python skills (Pandas) Demonstrable knowledge of warehouses (tables, views & databases) Experience of Power BI Good relationship builder Ability to communicate well with both technical and non-technical colleagues Able to set own agenda More ❯

experience setting up CI/CD pipelines using tools like Azure DevOps, GitHub Actions, or GitLab CI, targeting Azure environments. Experience with popular Python libraries and frameworks such as Pandas, NumPy, and PySpark. Benefits Full-time, permanent contract. Competitive salary up to £60,000 per annum, depending on experience. Hybrid working model based in Aberdeen (2 days per week in More ❯

of-concepts and assist the business with evaluations to measure success and estimate value proposition. Essential Criteria: * Extensive experience with Python and data science Python packages (e.g. scikit-learn, pandas, numpy, etc) * Understanding of data science concepts, AI/ML models, evaluation approaches, and data science applications to enhance business processes * Proven hands-on experience in Microsoft Azure ML Studio More ❯

Skills & Experience Current enhanced DV clearance (mandatory) Proven experience in a data science or machine learning role Strong programming skills in Python and familiarity with key data libraries (e.g. pandas, NumPy, scikit-learn) Experience with data wrangling , feature engineering, and model optimisation Understanding of data pipelines , APIs, and production deployment workflows Excellent communication skills and a collaborative approach Why Apply More ❯

experience as a Data Scientist , ideally in a government or large-scale enterprise environment. Strong Python programming skills, including experience with data science and AI/ML frameworks (e.g., Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow). Experience developing and fine-tuning LLMs and working with generative AI tools. Hands-on experience with Microsoft Azure (Azure ML, Databricks, or other AI More ❯

Skills & Experience Current enhanced DV clearance (mandatory) Proven experience in a data science or machine learning role Strong programming skills in Python and familiarity with key data libraries (e.g. pandas, NumPy, scikit-learn) Experience with data wrangling , feature engineering, and model optimisation Understanding of data pipelines , APIs, and production deployment workflows Excellent communication skills and a collaborative approach Why Apply More ❯

and demonstrable proficiency across: - CORE EXPERIENCE : Strong command of Generative AI, LLMs, and RAG principles. Proven experience managing the end-to-end ML lifecycle. - TECH STACK: Proficiency in Python (Pandas, NumPy, LangChain). Deep familiarity with the [Specific Vendor]’s [Cloud Environment] AI and Data Stack (Azure ML, Azure OpenAI, Databricks). - SPECIALIZATION: Expertise in Vector databases (FAISS, Pinecone, Azure More ❯

Intel AI tools an advantage. Digital Support/IT Support: Windows/macOS, O365/M365, ticketing, troubleshooting, networking basics, hardware/peripherals, customer service. Data: Excel, SQL, Python (Pandas), data cleaning, visualisation, basic analytics; Power BI/Tableau a plus. Confident online facilitator with excellent communication and pacing; able to engage beginners and upskill returners. Prior teaching/training More ❯

model performance. What We're Looking For A Bachelor's degree in Computer Science, Mathematics, Electrical Engineering, or a related field. Strong experience with Python and data science libraries (Pandas, Scikit-learn, etc.). Solid understanding of machine learning concepts and algorithms . Interest in working with real-world industrial or sensor data . Exposure to Apache Airflow and/ More ❯

an umbrella company for the duration of the contract. You must have several years of experience developing data pipelines and data warehousing solutions using Python and libraries such as Pandas, NumPy, PySpark, etc. You will also have a number of years hands-on experience with cloud services, especially Databricks, for building and managing scalable data pipelines. ETL process expertise is More ❯

AI Services). Experience with a major conversational AI platform (Google Dialogflow, Amazon Lex, Rasa, or similar). A solid understanding of core Python ML libraries (Keras, scikit-learn, Pandas) and deep learning frameworks (TensorFlow, PyTorch). Desirable (but not essential) experience: Working with tools/interfaces for AI applications e.g. MCP protocol. Training traditional ML and DL models using More ❯

. Excellent communication and stakeholder engagement skills. Proactive, organised, and adaptable with a genuine team spirit. Desirable: Knowledge of Medallion Architecture and Data Lakehouse concepts. Working knowledge of Python (pandas, polars, duckdb, etc.). Experience with Microsoft Fabric (DP-600/700 certification a plus). Proficiency in Alteryx for data preparation and workflow automation. Robert Walters Operations Limited is More ❯

managing or mentoring BI Analysts. Advanced Power BI skills, including DAX and data modelling. Strong understanding of relational databases, data warehousing, and tools such as Databricks. Experience with Python (Pandas/PySpark) and Git/CI/CD processes. Excellent communication skills and high attention to detail. Experience in housing, construction, or ERP/CRM systems (COINS, Dynamics, SAP, or More ❯

Machine Learning Engineer Machine Learning Engineer - AI for Advanced Materials - Oxford/Remote (UK) (Tech stack: Python, PyTorch, TensorFlow, Scikit-learn, MLflow, Airflow, Docker, Kubernetes, AWS, Azure, GCP, Pandas, NumPy, SciPy, CI/CD, MLOps, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform) We're looking for a Machine Learning Engineer to join a rapidly scaling deep-tech company that's … model could change an industry, you'll fit right in. Company Noir Qualifications Senior (5+ years of experience) Experience with Python, PyTorch, TensorFlow, Scikit learn, MLflow, Airflow, Docker, Kubernetes, Pandas, NumPy, SciPy, CI/CD, Data Visualization, Bayesian Modelling, Probabilistic Programming, Terraform, Azure, AWS, GCP, Git, and Agile methodologies. Benefits Competitive salary with annual performance based bonuses Equity options - share More ❯