16 to 40 of 69 Pandas Jobs

people to the business this year, they're looking for Quantitative Developers with proficiency in Python, and experience with the Python data libraries (Pandas, NumPy) (preferably) from the Trading world. They also are on the look out for candidates who: Have deep familiarity with Python data ecosystem Understanding of Jupyter ...

people to the business this year, they're looking for Quantitative Developers with proficiency in Python, and experience with the Python data libraries (Pandas, NumPy) (preferably) from the Trading world. They also are on the look out for candidates who: Have deep familiarity with Python data ecosystem Understanding of Jupyter ...

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 ...

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 ...

/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 ...

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 ...

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 ...

workflows Design and implement data models and flows that are optimally flexible and performant Proficient in data engineering and data science implementations in Python (Pandas) and SQL Visualization implementations/techniques in DashUI/ag-grid/plotly are a plus Your Skills And Experience Extensive data and analytics experience ...

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 ...

performing teams. Solid academic background in STEM, Computer/Data Science, Econometrics, or a related field. Expert SQL skills and fluency in Python (e.g. Pandas, Numpy, TensorFlow, Keras). Experience with BI platforms such as Looker, Tableau, or PowerBI, and a good grasp of data modeling and metrics standardization. Strong ...

responsible for developing reproducible pipelines for differential expression, pathway enrichment, and immune deconvolution, supporting cancer biomarker discovery and drug response analysis. Proficiency in Python (pandas, TensorFlow, MATLAB), R, and SQL (including query optimization and indexing) is required, along with experience in data cleaning, signal preprocessing, and feature extraction, with emphasis ...

adoption of emerging AI tech. What We’re Looking For 5+ years in data engineering, with team or project leadership experience. Advanced Python (Pandas, PyTorch, TensorFlow, Scikit-learn). Strong AWS/GCP , MySQL , and CI/CD experience; Docker/Kubernetes a plus. Excellent communication, organisation, and problem-solving ...

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 ...

Great Fit: Kaggle Competitions Grandmaster or equivalent elite competition performance 3-5+ years in data science or applied analytics Strong Python expertise (Pandas, NumPy, Polars, scikit-learn, etc.) Proven experience with end-to-end ML modeling Solid grounding in statistics, experiment design, and causal analysis Familiarity with SQL, dashboards ...

medals or top-tier rankings). Strong experience in data science, analytics, or ML-driven research. Proficiency in Python and key libraries such as Pandas, NumPy, Polars, and scikit-learn. Solid knowledge of experiment design, causal inference, and statistical modeling. Familiarity with SQL, distributed data systems, and experiment tracking tools. ...

Great Fit: Kaggle Competitions Grandmaster or equivalent elite competition performance 3–5+ years in data science or applied analytics Strong Python expertise (Pandas, NumPy, Polars, scikit-learn, etc.) Proven experience with end-to-end ML modeling Solid grounding in statistics, experiment design, and causal analysis Familiarity with SQL, dashboards, distributed ...

Great Fit: Kaggle Competitions Grandmaster or equivalent elite competition performance 3-5+ years in data science or applied analytics Strong Python expertise (Pandas, NumPy, Polars, scikit-learn, etc.) Proven experience with end-to-end ML modeling Solid grounding in statistics, experiment design, and causal analysis Familiarity with SQL, dashboards ...

Requirements: Bachelor's or higher in Computer Science, Engineering, Mathematics, Statistics, or a quantitative discipline. 5+ years developing Python-based financial software, with strong Pandas experience. Exposure to financial datasets across multiple asset classes. Experience supporting quantitative research and modelling. Proficiency in Linux environments. Strong foundation in mathematics and statistics. ...

related field (we value diverse backgrounds!) Strong foundation in software engineering principles and best practices Proficiency in Python and data science libraries (e.g., pandas, scikit-learn, PyTorch) Familiarity with version control systems and CI/CD principles Understanding of statistical models and their evaluation methodologies We encourage applications from candidates ...

course not limited to) equities, futures, options, and multi asset classes. Alongside the rest of the Financial Engineering team, you'll leverage pandas and related python libraries to produce MerQube branded financial engines as well as indexing strategies for major financial institutions. You'll interface directly with both clients ...

learning techniques, especially for predictive modeling, regression and classification techniques, and understanding causal impact and A/B testing. You're fluent in Python (Pandas, Scikit-learn, Statsmodels etc.) and write strong, clean SQL (we use Snowflake). You believe in MLOps and building things that last. You're comfortable ...

understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Extensive experience with pytorch, numpy, pandas Hands-on experience in implementing distributed/multi-threaded/scalable applications (incl. frameworks such as Ray, Horovod, DeepSpeed, etc.) Able to communicate technical information ...