16 to 40 of 314 Pandas Jobs

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 ...

Understanding of natural language processing, computer vision, and recommender systems Strong programming skills in Python, SQL and proficiency with ML libraries (e.g. scikit-learn, pandas, NumPy, XGBoost, LightGBM) Soft Skills Strong analytical and problem-solving mindset with attention to detail Ability to work independently and drive projects from ambiguous requirements ...

Understanding of natural language processing, computer vision, and recommender systems Strong programming skills in Python, SQL and proficiency with ML libraries (e.g. scikit-learn, pandas, NumPy, XGBoost, LightGBM) Soft Skills Strong analytical and problem-solving mindset with attention to detail Ability to work independently and drive projects from ambiguous requirements ...

Understanding of natural language processing, computer vision, and recommender systems Strong programming skills in Python, SQL and proficiency with ML libraries (e.g. scikit-learn, pandas, NumPy, XGBoost, LightGBM) Soft Skills Strong analytical and problem-solving mindset with attention to detail Ability to work independently and drive projects from ambiguous requirements ...

London-based Financial Services Clients. You will need: Extensive hands-on development experience with Python within Financial Services Strong background working with Pandas & NumPy Good experience with Django and Javascript Strong experience working within a risk environment Proficiency with Python libraries such as click apply for full job details ...

Graph API, and experience 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 metrics. Communication Skills: Ability to collaborate with various stakeholders, explain complex ...

SAP. Ensure data quality, governance, and lineage tracking throughout the project. Required Skills ETL/ELT pipeline design and data validation frameworks. Advanced Python (pandas, numpy, boto3) and SQL (complex queries, optimisation). Experience with AWS Glue , Step Functions , and event-driven architectures . Knowledge of vector databases , embeddings ...

SAP. Ensure data quality, governance, and lineage tracking throughout the project. Required Skills ETL/ELT pipeline design and data validation frameworks. Advanced Python (pandas, numpy, boto3) and SQL (complex queries, optimisation). Experience with AWS Glue , Step Functions , and event-driven architectures . Knowledge of vector databases , embeddings ...

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 ...

designing and managing workflows for collecting, cleaning, and storing large volumes of financial data (e.g., price, volume, fundamentals, alternative data), often using tools like Pandas, NumPy, and Dask. Collaborate Across Teams for Deployment, working with researchers, traders, and DevOps teams to integrate Python models into production environments (e.g., through APIs ...

designing and managing workflows for collecting, cleaning, and storing large volumes of financial data (e.g., price, volume, fundamentals, alternative data), often using tools like Pandas, NumPy, and Dask. Collaborate Across Teams for Deployment, working with researchers, traders, and DevOps teams to integrate Python models into production environments (e.g., through APIs ...

/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 ...

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 ...

areas like networking, database performance, and system resilience Experience with real-time analytics platforms Familiarity with big data tools and frameworks, such as Pandas, Polars, PyArrow, Kafka, PostgreSQL, and DeltaTable Background in trading or financial markets is a plus, but not required WHAT YOU'LL GET: The chance to work ...

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 ...

modeling, optimization, scenario analysis, and statistical methodologies. Strong grasp of supervised/unsupervised methods, evaluation metrics, feature engineering, and model tuning. Proficiency in Python (pandas, NumPy, Scikit-learn); experience with PyTorch or TensorFlow for deep learning. Experience with API development and connecting AI systems to external platforms. Working knowledge ...

modeling, optimization, scenario analysis, and statistical methodologies. Strong grasp of supervised/unsupervised methods, evaluation metrics, feature engineering, and model tuning. Proficiency in Python (pandas, NumPy, Scikit-learn); experience with PyTorch or TensorFlow for deep learning. Experience with API development and connecting AI systems to external platforms. Working knowledge ...

/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 ...

/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 ...

programming in your background. You have experience with Python. If you are also familiar with languages/libraries such as C#, Java, TypeScript, Pandas, or SQL/NoSQL, that is highly appreciated. You have experience with frameworks such as Vue.js, FastAPI, or Node.js. You have previously turned a concept into ...