176 to 200 of 269 Permanent Pandas Jobs

looking for an individual who can bring: Relevant proficiency in programming languages such as Databricks, Python or R, and experience with relevant libraries (e.g., Pandas, Scikit-learn).Strong knowledge of statistical modelling, machine learning algorithm and advanced analyticsExpertise in visualization tools (Power BI, Visier, Workday, Power Automate, advanced Excel ...

solve business problems Proven experience in translating technical methods to non-technical stakeholders Strong programming experience in Python and the relevant analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, langchain). R and C++ optional. Experience with version control (GitHub) ML experience with ...

with Power Query (or equivalent) for repeatable imports and transformations ● Knows when a spreadsheet is the wrong tool, and says so ● Python (or R) pandas for cleaning, reshaping and joining data; numpy for the numeric work Reads and writes CSV, Excel, Parquet and JSON, and can pull data from ...

intensive applications in production, with a track record of leading technical initiatives from conception to deployment. Expert-level Python and its data ecosystem (Numpy, Pandas), including designing frameworks for data tasks. Deep understanding of distributed data processing engines like Apache Spark. Ability to reason about the full data lifecycle from ...

internal working partnersTechnical skills preferred in any or all of the following: Microsoft Excel, Google Suite, Atlassian Jira/Confluence, SQL, Python (Jupyter Notebook, Pandas, PySpark, etc.), Databricks, Bloomberg, Pitchbook, or other common financial services systems and applicationsHands-on SQL & Data Warehouse Experience: Strong proficiency using SQL and Databricks (PySpark ...

through your contributions - big advantage. Familiarity with ClickHouse or similar high-performance data platforms. Working knowledge of Python, especially in data engineering contexts (e.g., Pandas, PySpark, Airflow), and ability to contribute to Python tooling when needed. CompensationFor roles based in the United States, the typical starting salary range for this ...

Python and fluency with the modern AI and data science tooling, including frameworks for building with large language models alongside libraries such as pandas, NumPy and scikit-learn. Strong mathematical and statistical foundations, including probability, statistics, linear algebra and optimization, and the ability to reason rigorously about uncertainty, error ...

experience building and deploying machine learning models in production environments where accuracy and reliability are critical. Advanced Python skills, including hands-on use of pandas and scikit-learn. Strong statistical knowledge and the ability to design effective validation and evaluation methodologies. Experience assessing model performance, analysing errors, and communicating findings ...

Deep proficiency in PD model development and validation, with strong knowledge of calibration techniques. Advanced Python and SQL skills; familiar with XGBoost, scikit-learn, pandas, MLFlow. Experience with explainability frameworks such as SHAP, LIME, PDP. Ability to communicate technical concepts clearly and influence cross-functional decisions. Familiarity with real-time ...

proprietary research platform to support new exchanges, products and functionality. Python Developers Must Have: Expert in writing production level Python code including numpy, pandas, scipy, statsmodels etc (Python packages for numerical and statistical analysis)Able to take high level requirements and lead with constructing the engineering concept to underpin that ...

Data Platform Stack We employ software engineering best practices to design, test, and deploy our data platform and services using the below technologies: Python, pandas and SQL in Jupyter notebooks for analysis dbt and Databricks data platform with Delta Lake Lightdash as our BI tool and semantic layer Streamlit ...

deep learning, reinforcement learning, or predictive modeling to solve problems involving complex data patterns and market dynamics. Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.). Ability to communicate and interact with a wide range of users, from highly technical to non‐technical backgrounds. Strong analytical skills with ...

limitations in language each audience trusts. Essential Strong applied proficiency in Python and/or R, including modern data and ML libraries (e.g. pandas, scikit-learn, statsmodels or equivalents) and time-series/statistical forecasting methods. • A track record of owning an analytical product end to end – from data acquisition ...

Looking For? The ideal candidate will have the following skills and experience: Strong SQL skills Strong Python skills for dataframe analytics using pandas or polars Confident use of AI coding assistants with sound judgment and validation Financial markets domain knowledge A collaborative approach to working with stakeholders An automation-first ...

awareness of modern approaches such as natural language processing and deep learning Strong Python skills and experience with common libraries such as Pandas, scikit-learn and Jupyter Experience working with SQL and data pipelines to prepare and transform data for model training Understanding of model evaluation, monitoring and improving performance ...

eligible for full-time roles in 2027Experience programming in Python and/or C++Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLABA passion for applying quantitative models and technology toward solving real-world problemsBrilliant analytical and problem-solving skillsAbility ...

awareness of modern approaches such as natural language processing and deep learning Strong Python skills and experience with common libraries such as Pandas, scikit-learn and Jupyter Experience working with SQL and data pipelines to prepare and transform data for model training Understanding of model evaluation, monitoring and improving performance ...

related program) who is eligible for full-time roles in 2027Fluency in PythonExperience with statistical analysis, numerical programming, or machine learning in Python,Pandas/Numpy, R, and/or MATLABBrilliant analytical and problem-solving skillsAbility to work creatively and independently on long-term technical problemsBase salary ...

programming with Java, C++ or another object-oriented language Experience performing data analysis in Python, including proficiency with data science libraries (e.g., NumPy, pandas) and visualisation tools Ability to translate quantitative models into reliable, maintainable production code Effective interpersonal and communication skills; ability to collaborate with traders, quantitative researchers ...

awareness of modern approaches such as natural language processing and deep learning Strong Python skills and experience with common libraries such as Pandas, scikit-learn and Jupyter Experience working with SQL and data pipelines to prepare and transform data for model training Understanding of model evaluation, monitoring and improving performance ...

Experience designing or contributing to evaluation frameworks for ML models, ideally with imaging or comparable scientific image data. Strong Python data-science stack (numpy, pandas/polars, scikit-learn, PyTorch). Familiarity with terabyte-scale imaging data and standard scientific formats. Strong biological grounding and the ability to partner effectively ...

position or a quantitative academic field. You demonstrate strong programming skills, with the ability to be a fluent Python programmer, using core libraries (NumPy, Pandas) and a deep-learning framework (e.g., PyTorch). You have a deep expertise in core data science paradigms (supervised/unsupervised, NLP, validation), demonstrating ...

position or a quantitative academic field. You demonstrate strong programming skills, with the ability to be a fluent Python programmer, using core libraries (NumPy, Pandas) and a deep-learning framework (e.g., PyTorch). You have a deep expertise in core data science paradigms (supervised/unsupervised, NLP, validation), demonstrating ...

techniques in data activation solutions, including supervised and unsupervised learning, classification, and regression models. Expert proficiency in data manipulation and cleaning using libraries like Pandas and NumPy, ensuring high-quality datasets for analysis and modelling. Excellent communication and presentation skills, with the ability to articulate complex findings, derive strategic insights ...

appropriate distributions, testing the assumptions behind frequentist statsProficient in using a statistical scripting language and data science/ML packages (e.g. python such as pandas, sklearn, statsmodels, scipy or R such as dplyr, caret, stats)Well-versed in summarising, visualising and communicating findings in an accessible and compelling wayTrack record ...