376 to 400 of 424 Pandas Jobs

DML statements • Solid Python skills – able to use the Python programming concepts in Databricks Notebooks for data loading, transformation and exploration including familiarity with Pandas • Strong understanding of core Databricks and Spark concepts such as Delta Live Tables, Delta Sharing, Medallion Architecture, Dataframes, Workflows, Unity Catalogue, Delta Live Tables, and More ❯

in their use. Be aware of alternatives and the PROs/CONs of the tool. Proficiency in using Excel/SQL/Python/Pandas/Analytics Workbench to process, transform, create variables and build models. Be or be working towards expert knowledge in a selection of these tools/ More ❯

in their use. Be aware of alternatives and the PROs/CONs of the tool. Proficiency in using Excel/SQL/Python/Pandas/Analytics Workbench to process, transform, create variables and build models. Be or be working towards expert knowledge in a selection of these tools/ More ❯

in their use. Be aware of alternatives and the PROs/CONs of the tool. Proficiency in using Excel/SQL/Python/Pandas/Analytics Workbench to process, transform, create variables and build models. Be or be working towards expert knowledge in a selection of these tools/ More ❯

in their use. Be aware of alternatives and the PROs/CONs of the tool. Proficiency in using Excel/SQL/Python/Pandas/Analytics Workbench to process, transform, create variables and build models. Be or be working towards expert knowledge in a selection of these tools/ More ❯

in their use. Be aware of alternatives and the PROs/CONs of the tool. Proficiency in using Excel/SQL/Python/Pandas/Analytics Workbench to process, transform, create variables and build models. Be or be working towards expert knowledge in a selection of these tools/ More ❯

Science Experience developing and deploying AI pipeline designs in operation Experience modeling data in JSON and Entity Relational Diagraming (ERD) design Advanced experience with Pandas and/or Polars libraries Advanced development Data Science languages skills such as Python, R and SQL Experience with Keras and Tensor Flow Experience working More ❯

Technology Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the open-source libraries we use extensively. We implement the systems that require the highest data throughput in … Proficient on Linux platforms with knowledge of various scripting languages Experience of data analysis techniques along with relevant libraries e.g. NumPy/SciPy/Pandas Relevant mathematical knowledge e.g. statistics, asset pricing theory, optimisation algorithms Advantageous Experience of front office quantitative software development e.g. in a hedge fund or investment More ❯

practices across cloud-native microservices and data platforms. You'll develop scalable test automation frameworks with a focus on data validation using tools like Pandas, and lead strategies for testing data lakes. Collaborate closely with QA and Java/Spring Boot development teams to ensure data quality and reliability across … technology ecosystem. What Your Day Will Look Like Build scalable and robust frameworks for validating complex data systems, pipelines, and APIs using tools like Pandas, Great Expectations, and Java modules. Collaborate with development teams to design and implement automated tests for microservices, emphasizing Spring Boot and Java-based architectures. Implement … independently implement and use the automation frameworks. Skills, Knowledge, and Expertise Expertise in validating complex datasets, creating synthetic test data, and leveraging tools like Pandas and Python for comprehensive data quality assurance. Proven ability to build and maintain scalable test automation frameworks, with a focus on backend, API, and data More ❯

practices across cloud-native microservices and data platforms. You'll develop scalable test automation frameworks with a focus on data validation using tools like Pandas, and lead strategies for testing data lakes. Collaborate closely with QA and Java/Spring Boot development teams to ensure data quality and reliability across … technology ecosystem. What Your Day Will Look Like Build scalable and robust frameworks for validating complex data systems, pipelines, and APIs using tools like Pandas, Great Expectations, and Java modules. Collaborate with development teams to design and implement automated tests for microservices, emphasizing Spring Boot and Java-based architectures. Implement … independently implement and use the automation frameworks. Skills, Knowledge, and Expertise Expertise in validating complex datasets, creating synthetic test data, and leveraging tools like Pandas and Python for comprehensive data quality assurance. Proven ability to build and maintain scalable test automation frameworks, with a focus on backend, API, and data More ❯

patterns to ensure clean, maintainable code Work with Docker and Kubernetes (K8s) to deploy and scale services Manage and process large datasets using Python, Pandas, and NumPy Implement cloud solutions using Azure and AWS S3 for Storage and data processing Collaborate with cross-functional teams to ensure efficient data flow … Data & Databases: SQL Server, Postgres, AWS Athena Cloud & DevOps: Azure, AWS S3, Docker, Kubernetes, Infrastructure as Code (IaC), CI/CD Data Processing: Python, Pandas, NumPy Software Principles: SOLID Principles, Design Patterns Nice-to-have skills Experience with message brokers (Kafka, Azure Bus) Knowledge of distributed computing and parallel processing More ❯

collateral). Build and enhance an agentic analysis solution for multi-step financial tasks such as variance analysis, data quality checks, and Python/pandas code generation/execution. Develop a robust testing framework to assess the accuracy, performance, and reliability of AI agents. Create and fine-tune prompt generation … time, accurate insights. Experience: Hands-on development of LLM-based applications (OpenAI, Anthropic, Hugging Face, etc.). Strong Python programming skills, including libraries like pandas , numpy , and experience with data pipelines. Domain experience in finance (liquidity, risk, balance sheet, collateral, etc.). Familiarity with frameworks such as LangChain , Semantic Kernel More ❯

our power market and dispatch models to grow and enhance Modo's product offering. We use Python and the standard scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). Working closely with our product and analytics functions to ensure the product we deliver aligns closely with user needs and provides … team. Qualifications: 3 to 5 years experience using Python (or another programming language e.g. R, C++, Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). A degree in a quantitative field such as mathematics, engineering, computer science, physics or a related discipline. Strong quantitative skills and More ❯

and techniques and/or experience with Large Language Models (fine tuning, RAG, agents) Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.) Have experience productionising machine learning models Are an expert in one of predictive modeling, classification, regression, optimisation or recommendation systems Have … cloud infrastructure Experience with graph technology and/or algorithms Our technology stack Python and associated ML/DS libraries (Scikit-learn, Numpy, LightlGBM, Pandas, LangChain/LangGraph, TensorFlow, etc ) PySpark AWS cloud infrastructure: EMR, ECS, Athena, etc. MLOps: Terraform, Docker, Airflow, MLFlow More information: Enjoy fantastic perks like private More ❯

accessed in the most efficient and effective manner. Your Toolkit The Languages You Speak : Python, SQL, the dialect of data. Libraries Tools : Terraform, Flask, Pandas, FastAPI, Dagster, GraphQL, SQLAlchemy, GitLab, Athena. Your Trusted Companions : Docker, Snowflake, MongoDB, Relational Databases (eg MySQL, PostgreSQL), Dagster, Airflow/Luigi, Spark, Kubernetes. Your AWS … CI/CD) automation, rigorous code reviews, documentation as communication. Preferred Qualifications Familiar with data manipulation and experience with Python libraries like Flask, FastAPI, Pandas, PySpark, PyTorch, to name a few. Proficiency in statistics and/or machine learning libraries like NumPy, matplotlib, seaborn, scikit-learn, etc. Experience in building More ❯

Lead Engineer - Python/JavaScript - AI MedTech - Salary + Equity - Hybrid, 1 day a week FRESH has partnered with an exciting start-up that is leveraging Artificial Intelligence to improve healthcare services. Through the use of advanced AI, this software More ❯

Lead Engineer - Python/JavaScript - AI MedTech - Salary + Equity - Hybrid, 1 day a week FRESH has partnered with an exciting start-up that is leveraging Artificial Intelligence to improve healthcare services. Through the use of advanced AI, this software More ❯

Software Engineer – Energy and Trading Sector Location: London (2 days per week) Rate: Inside IR35 as provided by the contractor About the Role: We are seeking an experienced Software Engineer to join our global client's dynamic team in the More ❯

Software Engineer – Energy and Trading Sector Location: London (2 days per week) Rate: Inside IR35 as provided by the contractor About the Role: We are seeking an experienced Software Engineer to join our global client's dynamic team in the More ❯

hear from you. What Youll Do Design, build, and maintain Python services that power critical financial workflows. Work with modern data processing tools like pandas and polars to transform and analyze large datasets. Build async Python services using asyncio , and develop event-driven systems integrating AWS services (Lambda, SQS, EventBridge … Pythons standard library and familiarity with modern idioms (e.g., dataclasses , type annotations , async/await ). Experience with data transformation and analysis libraries like pandas or polars. Comfortable writing unit and integration tests with pytest . Practical experience with PostgreSQL (or another relational database), and understanding of schema design and … and impact Opportunities to shape the technical direction and engineering culture as we grow Our Tech Stack Languages: Python (3.10+), SQL Frameworks/Libraries: pandas, polars, dataclasses, asyncio, pytest Data: PostgreSQL, AWS S3 Infrastructure: AWS (Lambda, ECS, SQS, EventBridge), Docker, Terraform CI/CD: GitHub Actions, pre-commit, mypy, flake8 More ❯

APIs using FastAPI and similar frameworks. Package and deploy code in containerized (Docker-based) environments. Required Skills: Proficiency with Python and data libraries (e.g., Pandas, NumPy, PySpark). Familiarity with FastAPI or similar frameworks for web API development. Experience writing automated tests using PyTest and Mocking tools. Understanding of software … testing and CI/CD integration. Package, test, and deploy solutions using Docker in cloud environments. Required Skills: Strong knowledge of Python libraries (PySpark, Pandas, NumPy). Hands-on experience with FastAPI and test automation frameworks. Working knowledge of Agile delivery models and version control systems. Preferred: Experience deploying Python … Mentor junior team members and lead work decomposition within Agile ceremonies. Required Skills: Expert-level experience with Python and data processing libraries (e.g., PySpark, Pandas, NumPy). Extensive experience with FastAPI and automated testing in large-scale projects. Strong CI/CD knowledge with Docker, Git, and Agile team integration. More ❯

clear, detailed technical documentation for all AI solutions and data architectures deployed within Zinklar. Machine Learning Exploration Implement basic machine learning models using Python ( Pandas, NumPy, Scikit-learn ) for data-driven insights and predictive capabilities. Support deployment of ML solutions into production. Conduct exploratory data analysis to inform the development … query optimization). Hands-on experience managing data models with dbt and proficiency with BigQuery or PostgreSQL. Solid Python skills focused on data analytics (Pandas, NumPy) and foundational knowledge of ML techniques (supervised and unsupervised learning). Understanding of modern AI architectures, specifically generative AI techniques (LLMs, fine-tuning, RAG More ❯

Java, Python, C/C++, BASH, Docker, Kubernetes, Cloud, AWS, Azure, Spring, REST, Nifi, Linux, Windows, VMWare, Kubernetes, Pandas. Due to federal contract requirements, United States citizenship and an active TS/SCI security clearance and polygraph are required for More ❯

AWS Data Engineer Salary: Negotiable to £80,000 Dependent on Experience London: Hybrid working 3 days per week in the office 2 days home-based Job Ref: J12931 A leader in consumer behaviour analytics, seeks a driven AWS Data Engineer More ❯

AWS Data Engineer Salary: Negotiable to £80,000 Dependent on Experience London: Hybrid working 3 days per week in the office 2 days home-based Job Ref: J12931 A leader in consumer behaviour analytics, seeks a driven AWS Data Engineer More ❯