26 to 50 of 58 Pandas Jobs in England

Development - Strong proficiency in Python programming including object-oriented design, asynchronous programming, error handling, and writing clean, maintainable code. Experience with key libraries including Pandas, NumPy for data manipulation, requests and APIs for integrations, asyncio for concurrent processing, and building robust automation scripts with proper logging, testing (pytest), and documentation. ...

Advanced Analytics! Responsibilities Leverage data preparation, analysis, and predictive modelling techniques to address business challenges. Develop and implement scripts for data manipulation using Python, Pandas, NumPy, and Dask. Create visualizations using Matplotlib, Seaborn, and Plotly to communicate insights effectively. Collaborate with cross-functional teams to integrate data-driven solutions into ...

/supporting/principles. Current Microsoft/Databricks certifications are useful but not mandatory – we’ll help you get those! Core: Data Manipulation (SQL, Pandas, Pyspark) Azure AI (Azure AI Foundry, AI Search, Document Intelligence, AI Services) Data Science & Machine Learning (Databricks, Python, SKLearn, XGBoost, MLFlow, EDA) Familiarity with LLMs ...

learning, delivering actionable insights and business optimisation solutions. Technical Excellence: Deep proficiency in Python, possibly R for prototyping, SQL, and specialist tools such as Pandas, NumPy, Spark, and Dask; hands-on experience with cloud platforms (Azure ML, AWS) and ML Ops for robust model deployment and automation. CI/ ...

system behavior. AI/ML for QA (Preferred): Experience applying data science or machine learning techniques to solve testing problems. Familiarity with libraries like Pandas, NumPy, SciPy, and scikit-learn is a strong plus. Scripting: Proficiency in Bash is a must. Bonus points for Go or C++ experience. Leadership & Soft ...

Python coding. It is essential to have good knowledge of Python built in data types/functionality as well as associated tools such as Pandas/Polars, and web frameworks. The ideal candidate will be passionate about the latest AI/Machine Learning/Automation techniques and tools, with some ...

Familiarity with SAP data structures is beneficial Integration with PIM (Product Information Management) systems Design and consumption of REST APIs Programming & Querying Python (advanced): pandas, numpy, boto3, and data processing best practices SQL (advanced): complex queries, performance tuning, and query optimization Data Quality & Governance Data profiling and ongoing quality assessment ...

Familiarity with SAP data structures is beneficial Integration with PIM (Product Information Management) systems Design and consumption of REST APIs Programming & Querying Python (advanced): pandas, numpy, boto3, and data processing best practices SQL (advanced): complex queries, performance tuning, and query optimization Data Quality & Governance Data profiling and ongoing quality assessment ...

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 ...

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 ...

Deep expertise in ML, statistical modelling, and modern AI techniques (supervised/unsupervised, time-series, Bayesian, deep learning). 🐍 Strong Python engineering skills — NumPy, Pandas, Scikit-Learn, plus PyTorch/TensorFlow. 🏗 Experience building scalable ML systems in production (ML Ops, CI/CD for ML, model optimisation). 🚀 Proven experience ...

supervised/unsupervised learning, Bayesian inference, time-series analysis). You possess strong Python skills and excellent proficiency with core data science libraries (NumPy, Pandas, Scikit-Learn), plus familiarity with deep-learning frameworks (TensorFlow, PyTorch). You have proven experience leading data science projects, making key decisions on technical direction ...

clustering, time-series forecasting, survival analysis). Solid object-oriented programming skills in Python and hands-on expertise with the core data science stack (Pandas, Numpy, Scikit-learn, XGBoost/LightGBM). A proven ability to break down vague, complex problems into concrete, solvable steps. Excellent communication and data storytelling ...

working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferred Strong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines ...

predictive accuracy, interpretability, and automation. Engineer scalable analytical frameworks and reusable ML assets, integrating Python-based (or other) ML pipelines (TensorFlow, PyTorch, Scikit-learn, Pandas) with enterprise data platforms (Snowflake, Azure, Google Vertex AI) to standardise insight generation and model delivery. Collaborate with Data Architecture and Engineering to operationalise models ...

trading desk using Python Implement automated testing with PyTest and ensure code quality through peer reviews Process, analyse, and manipulate data using NumPy and Pandas Manage CI/CD pipelines to ensure stable production environments Utilise Git-based workflows for collaborative development Work closely with team members and stakeholders ...

strategies. You'll work on impactful questions around population changes, geographical factors, and operational models for screening services. Key Requirements: Strong skills in Python, Pandas, SQL, and data wrangling Experience with BI tools and data visualization Previous medical sector experience is essential BPSS clearability Comfortable working in Agile environments What ...

strategies. You'll work on impactful questions around population changes, geographical factors, and operational models for screening services. Key Requirements: Strong skills in Python, Pandas, SQL, and data wrangling Experience with BI tools and data visualization Previous medical sector experience is essential BPSS clearability Comfortable working in Agile environments What ...

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 ...

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 ...

requirements and ensure outputs are fit for purpose. Skills & Experience Needed Strong SQL abilities and experience designing relational schemas. Hands-on Python skills (preferably pandas) for data wrangling and transformation. Solid understanding of data modelling principles and best practices. Good working knowledge of Excel and awareness of CRM/enterprise ...

requirements and ensure outputs are fit for purpose. Skills & Experience Needed Strong SQL abilities and experience designing relational schemas. Hands-on Python skills (preferably pandas) for data wrangling and transformation. Solid understanding of data modelling principles and best practices. Good working knowledge of Excel and awareness of CRM/enterprise ...

data-driven solutions. Essential Skills & Experience Background in Data Science with experience in project management. Proficiency in Python and the data stack (NumPy, Pandas, etc.). Experience in Microsoft Azure data science environments. Understanding of project management methodologies and change management. Ability to manage multiple projects simultaneously in a fast ...

resiliency, performance, stability and cost have a solid understanding and hands-on experience of ML, anomaly detection and analytics tools, models and algorithms. e.g. Pandas, SciKit, AzureML, TensorFlow, Databricks, ADX be experienced with the complete software development lifecycle, including DevOps/CI/CD/Automation have hands-on development ...

both technical and non-technical stakeholders, including coaches, scouts, analysts, and traders. Skills & Attributes Strong background in Python, with experience in data manipulation (Pandas/Polars) and statistical modelling. Industry experience in a data science role focussing on sports analytics or personal projects related to football data. Knowledge of advanced ...