101 to 125 of 249 Permanent Pandas Jobs

5+ years of experience in Data Engineering, Analytics Engineering, Data Science, or Data Quality Engineering. Expert-level SQL skills. Strong Python experience, including pandas or similar data processing libraries. Experience building or supporting ETL pipelines and data ingestion workflows. Strong understanding of relational databases, data modeling, and schema design. Ability ...

5+ years of experience in Data Engineering, Analytics Engineering, Data Science, or Data Quality Engineering. Expert-level SQL skills. Strong Python experience, including pandas or similar data processing libraries. Experience building or supporting ETL pipelines and data ingestion workflows. Strong understanding of relational databases, data modeling, and schema design. Ability ...

5+ years of experience in Data Engineering, Analytics Engineering, Data Science, or Data Quality Engineering. Expert-level SQL skills. Strong Python experience, including pandas or similar data processing libraries. Experience building or supporting ETL pipelines and data ingestion workflows. Strong understanding of relational databases, data modeling, and schema design. Ability ...

Experience designing and executing marketing experiments Proficiency in applying ML techniques to marketing and customer datasets Strong proficiency in Python and data science libraries (pandas, NumPy, scikit-learn, statsmodels, or equivalent) Strong command of SQL for querying and analyzing large-scale marketing and media datasets Preferred Qualifications Experience with paid ...

Requirements Essential Expert Python, with deep hands‐on PyTorch experience (TensorFlow also welcome) and the surrounding ecosystem: Hugging Face Transformers, timm, scikit‐learn, NumPy, pandas, OpenCV. Production experience on AWS, specifically Amazon SageMaker: training and processing jobs, pipelines, model registry, endpoints. Practical MLOps: experiment tracking and model versioning with MLflow ...

experience in quantitative development, financial data analytics, quantitative research or a related discipline, with strong hands‐on Python and SQL skills. Experience with pandas, NumPy, Git, testing, CI/CD, cloud computing and modern development environments such as VS Code and GitHub Copilot is highly desirable, as is practical experience ...

skills for being effective in the role are: Technical Proficiency: Strong proficiency in Python for data analysis, machine learning and statistical modelling (e.g. pandas, NumPy, scikit‐learn), alongside familiarity with cloud‐based data platforms, preferably Google Cloud. Analytical Modelling: Proven experience developing analytical, statistical or machine learning solutions within complex ...

What experience you bring 4–8+ years in Data Science/ML with a focus on time‐series forecasting and decision analytics Strong Python (pandas, NumPy, scikit‐learn, statsmodels; PyTorch/TF a plus) and SQL; rigorous evaluation (MAE/RMSE, MAPE, pinball loss) Experience productionising models (APIs/batch ...

data analytics, quantitative, investment data or similar data-focused role, including designing, building or supporting analytical data products or reusable datasets.* Strong Python (including pandas and NumPy) and SQL skills, alongside experience with version control, testing practices and building data-quality, validation and monitoring workflows.* Strong practical understanding of data ...

area such as predictive modelling, classification, regression, optimisation or recommendation systems Strong proficiency in Python and open-source data libraries such as Pandas, NumPy and Scikit-learn A solid grounding in statistical methodologies, along with data extraction, manipulation and feature engineering techniques Experience with Spark, agile delivery methods ...

What we’re looking for: Proficiency in Python (and at least one other language a plus). Experience with key libraries such as PyTorch, Pandas, Hugging Face Transformers, or similar AI toolkits. Working knowledge of common models, and their use cases and experience applying them to solve specific problems. Solid ...

data analyst or similar role. Strong SQL skills, including complex joins, aggregations and window functions. Proficiency in Python for data analysis (e.g., pandas, NumPy). Hands‐on experience with at least one cloud data platform: Databricks, AWS or Snowflake. Strong analytical and problem‐solving skills, with close attention to detail. ...

Requirements Essential Expert Python, with deep hands-on PyTorch experience (TensorFlow also welcome) and the surrounding ecosystem: Hugging Face Transformers, timm, scikit-learn, NumPy, pandas, OpenCV. Production experience on AWS, specifically Amazon SageMaker: training and processing jobs, pipelines, model registry, endpoints. Practical MLOps: experiment tracking and model versioning with MLflow ...

Experience in travel, transport, marketplaces, or similarly complex digital platforms Our technology stack Python and associated ML/DS libraries (scikit-learn, NumPy, LightGBM, Pandas, LangChain/LangGraph, TensorFlow, etc.) PySpark AWS cloud infrastructure: EMR, ECS, Athena, etc MLOps/DevOps: Terraform, Docker, Airflow, MLFlow Monitoring and evaluation platforms including ...

MATCH, SUMIFS, nested logic, and data manipulation, VBA, Excel Macros, or Power Query Experience with some or all of the following technologies:Python (particularly Pandas and data analysis/automation)BigQuery, Snowflake, SQL Server, Athena, or other cloud/data warehouse platformsPower BI, Looker Studio, Tableau, or similar BI platforms ...

data analytics, quantitative, investment data or similar data-focused role, including designing, building or supporting analytical data products or reusable datasets. Strong Python (including pandas and NumPy) and SQL skills, alongside experience with version control, testing practices and building data-quality, validation and monitoring workflows. Strong practical understanding of data ...

candidates will be considered based on their overall skills, experience and suitability for the role. Strong Python for data analysis and modelling (e.g. pandas, NumPy, SciPy, scikit-learn or similar) Strong SQL, including querying, joining and aggregating data across relational databases Experience ingesting, cleaning and transforming data from varied sources ...

particularly in AWS environments, using infrastructure-as-code tools (such as Terraform, CloudFormation, or Pulumi) Experience with data manipulation and analysis tools (such as Pandas or SQL) for processing high-volume security telemetry and creating sophisticated automation triggers Additional Preferred Qualifications: Experience with Google SecOps platform and familiarity with integrating ...

team is now expanding these capabilities into the Business Banking space. Required Skills Strong Python programming skills, including data analysis using libraries such as Pandas Strong understanding of Machine Learning, including both supervised and unsupervised techniques Experience with tree-based and boosting algorithms such as XGBoost, LightGBM, and related approaches ...

Months Contract (Extendable)****JOB DETAILS:** **Technical Skills/Competencies:****Python:** Design, develop, and maintain Python scripts for data processing and transformation. Work extensively with Pandas and NumPy for data analysis and manipulation. Work experience in file processing libraries and other python libraries. Work extensively with testing frameworks (unittest/pytest ...

MLOps understanding Knowledge of data science, statistics and ML techniques Familiarity with typical Python data science stack: spark, SQL, TensorFlow, PyTorch, XGBoost/LightGBM, Pandas, MLFlow or similar, Airflow Experience with ML infrastructure: Kubernetes, Docker, Airflow, Argo Workflows, Prometheus, Grafana Proactive, launches fast and iterates; strong communication with diverse stakeholders ...

Python for automation, parsing, rules engines, and data quality checks, ability to write maintainable code. Experience using Python packages for data wrangling (e.g. Pandas, Polars), modelling (e.g. scikit-learn) and visualization (e.g. matplotlib) Experience with modern data tooling (for example, Spark, Azure Data Factory) or ability to implement equivalents with ...

maturity to sit in front of clients, translate evolving stakeholder needs into features, and drive delivery. Strong Python for data and backend work - Pandas plus optimization/scientific libraries (e.g. Pyomo, Scikit-Learn) Building simulation, forecasting, and KPI/analytics frameworks to model financial or operational outcomes Data engineering: ingestion ...

conveying information clearly and creating trust with stakeholders. Experience with machine learning frameworks (e.g., PyTorch, TensorFlow), data science packages (e.g., Scikit-Learn, NumPy, SciPy, Pandas, statsmodels) and GenAI toolkit Experience in ML Ops #J-18808-Ljbffr ...

hands-on experience in data analysis and writing production-quality code. Extensive experience with machine learning and data analysis toolkits (e.g., NumPy, Scikit-Learn, Pandas). Ability to effectively leverage Generative AI tools to enhance productivity, analysis, and problem-solving in day-to-day work. Strong written and spoken communication ...