16 to 40 of 125 Pandas Jobs

Python Programming Functions, classes & object-oriented programming List comprehensions & generators Error handling Working with virtual environments & package management (pip, venv) Data Manipulation & Analysis Libraries: pandas, numpy (optional: polars) Data cleaning & preprocessing Handling missing values Grouping, merging, pivoting & aggregations SQL knowledge Software Engineering Best Practices Version control using Git Writing modular ...

services, Microsoft Graph API, andexperience integrating Python applications with Azure for access control reviews and reporting.Reporting and Visualization: Experience using reporting libraries in Python (Pandas, Matplotlib,Plotly, Dash) to build dashboards and reports related to security and access control (link removed)munication Skills: Ability to collaborate with various stakeholders, explain ...

Experience Required Senior-level experience in data science or a quantitative field Proficient programming skills (Python preferred); familiarity with core data science libraries (NumPy, Pandas, Scikit-Learn) Experience with deep learning tools (e.g. PyTorch, TensorFlow, or similar) Strong mathematical/statistical background Familiarity with a wide range of data science ...

Experience Required Senior-level experience in data science or a quantitative field Proficient programming skills (Python preferred); familiarity with core data science libraries (NumPy, Pandas, Scikit-Learn) Experience with deep learning tools (e.g. PyTorch, TensorFlow, or similar) Strong mathematical/statistical background Familiarity with a wide range of data science ...

Experience Required Senior-level experience in data science or a quantitative field Proficient programming skills (Python preferred); familiarity with core data science libraries (NumPy, Pandas, Scikit-Learn) Experience with deep learning tools (e.g. PyTorch, TensorFlow, or similar) Strong mathematical/statistical background Familiarity with a wide range of data science ...

/ML, LLMs (GPT, Claude) and Generative AI . Proven experience with Agentic AI tools, GitHub Copilot, MCPs . Advanced Python skills – NLTK, NumPy, Pandas, Scikit-learn. Good understanding of AI/ML algorithms (Regression, Classification, Decision Trees, KNN, K-Means). Experience developing AI-enhanced test automation solutions. Solid ...

services, Microsoft Graph API, andexperience integrating Python applications with Azure for access control reviews and reporting.Reporting and Visualization: Experience using reporting libraries in Python (Pandas, Matplotlib,Plotly, Dash) to build dashboards and reports related to security and access control (link removed)munication Skills: Ability to collaborate with various stakeholders, explain ...

like operations Understanding of machine learning techniques such as regularised regression, clustering or tree-based ensembles (and experience applying them with packages like Pandas, sci-kit-learn, SciPy) is highly beneficial Experience processing big data, ideally in a Hadoop/Spark environment, would be beneficial Understanding of Continuous Integration/ ...

like operations Understanding of machine learning techniques such as regularised regression, clustering or tree-based ensembles (and experience applying them with packages like Pandas, sci-kit-learn, SciPy) is highly beneficial Experience processing big data, ideally in a Hadoop/Spark environment, would be beneficial Understanding of Continuous Integration/ ...

Were looking for a talented ML Ops Engineer to join our growing teams. Key Responsibilities Strong proficiency in Python and ML libraries such as: pandas, NumPy, scikit-learn XGBoost, LightGBM, CatBoost TensorFlow, Keras, PyTorch Experience with model deployment and serving tools: ONNX, TensorRT, TensorFlow Serving, TorchServe Familiarity with ML lifecycle ...

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. ...

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. ...

Statistics, Engineering, or related field; 3+ years of experience in machine learning. Strong programming skills in Python, with experience using data and ML libraries (pandas, scikit-learn, etc.). Proficiency in SQL and data querying from cloud data warehouses. Ensure data quality and integrity in all processes. Experience with building ...

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 ...

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 ...

Claude), Generative AI, Retrieval Augmented Generation. Agentic AI, CoPilot, MCPs. AIML Algorithms(Regression, Classification, Decision Trees, KNN, K-Means) Python (NLTK, NumPy, Scikit-learn, Pandas) Candi... ...

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 ...

findings and recommendations to non-technical stakeholders. Ideal Qualifications: Strong applied data science or analytics experience in business settings. Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills. Experience with data visualization tools (e.g., Tableau, Power BI). Solid understanding of statistical modeling, experimentation, and A/ ...

findings and recommendations to non-technical stakeholders. Ideal Qualifications: Strong applied data science or analytics experience in business settings. Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills. Experience with data visualization tools (e.g., Tableau, Power BI). Solid understanding of statistical modeling, experimentation, and A/ ...

findings and recommendations to non-technical stakeholders. Ideal Qualifications: Strong applied data science or analytics experience in business settings. Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills. Experience with data visualization tools (e.g., Tableau, Power BI). Solid understanding of statistical modeling, experimentation, and A/ ...

findings and recommendations to non-technical stakeholders. Ideal Qualifications: Strong applied data science or analytics experience in business settings. Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills. Experience with data visualization tools (e.g., Tableau, Power BI). Solid understanding of statistical modeling, experimentation, and A/ ...

findings and recommendations to non-technical stakeholders. Ideal Qualifications: Strong applied data science or analytics experience in business settings. Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills. Experience with data visualization tools (e.g., Tableau, Power BI). Solid understanding of statistical modeling, experimentation, and A/ ...

findings and recommendations to non-technical stakeholders. Ideal Qualifications: Strong applied data science or analytics experience in business settings. Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills. Experience with data visualization tools (e.g., Tableau, Power BI). Solid understanding of statistical modeling, experimentation, and A/ ...

findings and recommendations to non-technical stakeholders. Ideal Qualifications: Strong applied data science or analytics experience in business settings. Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills. Experience with data visualization tools (e.g., Tableau, Power BI). Solid understanding of statistical modeling, experimentation, and A/ ...