151 to 175 of 265 Permanent Pandas Jobs

role working with large-scale data and production environments. Experience in customer-facing or consulting roles is strongly preferredStrong technical expertise: Proficient in Python (Pandas) and core ML libraries (TensorFlow, Keras, scikit-learn, CatBoost, XGBoost). Skilled in SQL for querying/manipulating datasets, with experience in machine learning pipelines ...

justifying, architectural calls, not just executing them Nice to Have: Apache Spark, Airflow, Kafka, Elasticsearch/OpenSearch, MongoDB, Qdrant/Milvus/pgvector, Pandas/Polars, cloud infra (GCP/AWS/Azure), and time in a high-growth startup. Why this role: You won't be maintaining someone else ...

justifying, architectural calls, not just executing them Nice to Have: Apache Spark, Airflow, Kafka, Elasticsearch/OpenSearch, MongoDB, Qdrant/Milvus/pgvector, Pandas/Polars, cloud infra (GCP/AWS/Azure), and time in a high-growth startup. Why this role: You won't be maintaining someone else ...

roles, not just in theory We're looking for: Strong hands-on AI/ML and Data Science expertise (Python essential — NumPy, Pandas, Scikit-learn; exposure to PyTorch, TensorFlow, LangGraph or similar a plus) Proven experience delivering technical training to a mix of technical and non-technical audiences, virtually ...

datasets with real downstream consumers. Work with economists and engineers to turn modelling decisions into reliable production data. Essential Strong production Python. Datasets in pandas and Parquet/Arrow, plus an analytical engine, e.g. DuckDB, or a warehouse such as Snowflake. Orchestrated batch pipelines you've operated, not just written ...

practices concerning code maintainability, documentation, quality assurance, continuous integration and deployment Experience supporting production systems Experience with any of the following: gRPC microservices, Postgres, Pandas, Golang, R, Git, Jenkins, Bazel, Prometheus, Grafana, Airflow, Kubernetes Equal Opportunity Employer The Voleon Group is an Equal Opportunity employer. Applicants are considered without regard ...

XGBoost, etc.) and modern Deep Learning algorithms (e.g. BERT, LSTM, etc.). Strong knowledge of SQL and Python’s ecosystem for data analysis (Jupyter, Pandas, Scikit‐Learn, Matplotlib). Strong software development skills (Python is the preferred language). Strong management and leadership skills – previous experience managing a team. Strong ...

datasets Strong SQL proficiency (e.g., PostgreSQL, MySQL, SQL Server) to extract, transform, and optimize data for reporting and operational use Hands-on Python experience (Pandas, NumPy) for data manipulation and analysis, supporting scalable data workflows Understanding of data architecture, data modeling, and ETL processes to ensure efficient data integration ...

with significant industry or research experience in the field Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit‐Learn, Pandas) Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals Hands ...

practical improvements. Preferred qualificationsExperience working with AWS and core concepts (accounts, regions, IAM, networking, compute/storage, tagging).Python for analytics/automation (e.g., pandas) and building repeatable pipelines. Experience with cloud data platforms (e.g., Snowflake/Redshift/BigQuery) and ELT tooling (e.g., dbt).J.P. Morgan is a global ...

data analysis and model prototyping to production deployment, integration, and ongoing monitoring. You are proficient in Python and its data/ML ecosystem (e.g. pandas, scikit-learn, PyTorch, TensorFlow), and you can apply statistical and machine learning techniques confidently in real-world settings. You have deployed models into live systems ...

data analysis and model prototyping to production deployment, integration, and ongoing monitoring. You are proficient in Python and its data/ML ecosystem (e.g. pandas, scikit-learn, PyTorch, TensorFlow), and you can apply statistical and machine learning techniques confidently in real-world settings. You have deployed models into live systems ...

facing productsExperience in travel, transport, marketplaces, or similarly complex digital platformsOur technology stack Python and associated ML/DS libraries (scikit-learn, NumPy, LightGBM, Pandas, LangChain/LangGraph, TensorFlow, etc.)PySparkAWS cloud infrastructure: EMR, ECS, Athena, etcMLOps/DevOps: Terraform, Docker, Airflow, MLFlowMonitoring and evaluation platforms including New Relic ...

environment and owning the technical direction for the team's deliverables. Design, develop and implement highly scalable and efficient data pipelines using advanced Python (Pandas, web scraping and machine learning libraries), SQL (including advanced optimisation techniques) and Apache Airflow. Lead the extraction, transformation and loading (ETL) of large and complex … success in leading and mentoring teams. Experience of building market data solutions within a trading or financial services environment. In-depth expertise in Python (Pandas, web scraping libraries such as Selenium, Beautiful Soup and Requests, and machine learning libraries such as TensorFlow and PyTorch). Generative AI techniques including agents ...

environment and owning the technical direction for the team's deliverables. Design, develop and implement highly scalable and efficient data pipelines using advanced Python (Pandas, web scraping and machine learning libraries), SQL (including advanced optimisation techniques) and Apache Airflow. Lead the extraction, transformation and loading (ETL) of large and complex … success in leading and mentoring teams. Experience of building market data solutions within a trading or financial services environment. In-depth expertise in Python (Pandas, web scraping libraries such as Selenium, Beautiful Soup and Requests, and machine learning libraries such as TensorFlow and PyTorch). Generative AI techniques including agents ...

/or GitLab CI/CD Strong Git/version control experience Experience with Python automation libraries such as Requests, Paramiko, Subprocess, Schedule and Pandas Good understanding of networking fundamentals including HTTP, TCP/IP, DNS and SSH Desirable Skills for the Senior Python Developer: Telecoms or network automation experience ...

desirable: Frameworks & Infrastructure: Apache Spark Apache Airflow Kafka Elasticsearch/OpenSearch Databases: PostgreSQL MongoDB Vector databases such as Qdrant, Milvus, or pgvector Python Ecosystem: Pandas Polars Engineering Skills: Experience building highly scalable backend systems. Strong understanding of data modelling and storage architecture. Deep knowledge of data processing, optimisation, and performance ...

every tool listed below, but you should have strong experience with most of them or equivalent technologies. Core Languages & Frameworks Python (Flask, SQLAlchemy, NumPy, Pandas) for services and analytics React, Typescript, Redux for the front end Cloud & Infrastructure AWS (ECS, Lambda, RDS, S3) Docker Linux Data, Messaging & Caching MySQL RabbitMQ ...

techniques to solve business problemsProven experience in translating technical methods to non-technical stakeholdersStrong 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 ...

Excel and financial modelling.- Good understanding of data science techniques, SKlearn standard models and applied solutions at scale.- 3+ yearsof experience with SQL, Python (pandas/spark), and BI tools (Power BI, Tableau).- 3+ years of experience in data warehousing, ETL/ELT processes, and cloud-based data platforms. ...

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 ...