126 to 150 of 247 Pandas Jobs in the UK

logic into efficient code implementations to turn source data into usable structured data for downstream applications. Implement data transformations and structuring using tools like Pandas and Pydantic to ensure data quality, consistency, and adherence to business logic requirements. Collaborate with data scientists and analysts to support data-driven decision-making. ...

performance optimisation Networking Nice to have: Data engineering experience in Python, e.g. with libraries like Dagster, Prefect etc Experience optimising dataframe code, e.g. in Pandas or ideally Polars Experience of machine learning techniques and related libraries and frameworks e.g. scikit-learn, Pytorch, Tensorflow etc Experience in scientific computing with other ...

troubleshoot live tools, ensuring functionality as source systems evolve. Key Skills and Requirements: Proficiency in Python for scripting, automation, and data processing (e.g., pandas, requests). Experience with R and Shiny for developing and deploying applications. Strong SQL skills and familiarity with integrating systems via REST APIs. Practical experience with ...

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 ...

Knowledge: Practical understanding of machine learning fundamentals (classification, regression, clustering, ranking, NLP, or LLMs).Data & ML Ecosystem: Familiarity with data processing libraries (e.g. Pandas, NumPy) and ML frameworks (e.g. PyTorch, Scikit-learn or XGBoost).Growth Mindset: A genuine interest in distributed system and software design, concurrent algorithms, data structures ...

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 ...

Knowledge: Practical understanding of machine learning fundamentals (classification, regression, clustering, ranking, NLP, or LLMs).• Data & ML Ecosystem: Familiarity with data processing libraries (e.g. Pandas, NumPy) and ML frameworks (e.g. PyTorch, Scikit-learn or XGBoost).• Growth Mindset: A genuine interest in distributed system and software design, concurrent algorithms, data ...

Redshift) and data ingestion patterns (batch, streaming, CDC). Hands‐On Development - Proficiency in programming (e.g., JavaScript, Python, SQL, R) and data frameworks like pandas or Jupyter. Excellent Communication - Strong presentation skills; adept at explaining complex ideas and guiding stakeholders toward impactful solutions. Curiosity & Continuous Learning - Passion for exploring ...

services. Work with technologies including Python, AWS (EKS, S3, RDS and Terraform), and AI/ML and data-science libraries such as Google ADK, pandas and FAISS. Help develop and evolve AWS platform infrastructure using Terraform, including RDS instances and EKS clusters. Mentor junior developers in engineering best practices, including ...

services.* Work with technologies including Python, AWS (EKS, S3, RDS and Terraform), and AI/ML and data-science libraries such as Google ADK, pandas and FAISS.* Help develop and evolve AWS platform infrastructure using Terraform, including RDS instances and EKS clusters.* Mentor junior developers in engineering best practices, including ...

services.* Work with technologies including Python, AWS (EKS, S3, RDS and Terraform), and AI/ML and data-science libraries such as Google ADK, pandas and FAISS.* Help develop and evolve AWS platform infrastructure using Terraform, including RDS instances and EKS clusters.* Mentor junior developers in engineering best practices, including ...

services. Work with technologies including Python, AWS (EKS, S3, RDS and Terraform), and AI/ML and data-science libraries such as Google ADK, pandas and FAISS. Help develop and evolve AWS platform infrastructure using Terraform, including RDS instances and EKS clusters. Mentor junior developers in engineering best practices, including ...

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 ...

looking for: Experience leading or mentoring a team of data scientists, scientists or engineers Hands-on data science in Python (NumPy, SciPy, pandas, scikit-learn or similar), turning exploratory work into quantified results Heavy, day-to-day use of AI tools in your own technical work, such as coding assistants ...

variety of ensemble techniques (e.g., Gradient Boosted Trees, Random Forests).Core Technical Proficiency: High proficiency in Python for data science (including libraries like Pandas, Scikit-Learn, XGBoost/LightGBM) and SQL.Large-Scale Data Expertise: Demonstrable experience working with very large, complex, and sometimes messy datasets to build effective models. Experience ...

loading Google Cloud Platform (GCP): Cloud Functions, Workflows, Cloud SQL, Cloud Storage, BigQuery, Pub/Sub, and Datastream PostgreSQL Data Science Python (polars, pandas, scikit) Jupyter notebooks SQL and dbt Infrastructure and delivery GitHub Actions Terraform Artifact Registry Data engineering at Ravio Data is central to Ravio’s product. ...

BigQuery, Redshift) and data ingestion patterns (batch, streaming, CDC).Hands-On Development - Proficiency in programming (e.g., JavaScript, Python, SQL, R) and data frameworks like pandas or Jupyter. Excellent Communication - Strong presentation skills; adept at explaining complex ideas and guiding stakeholders toward impactful solutions. Curiosity & Continuous Learning - Passion for exploring ...

variety of ensemble techniques (e.g., Gradient Boosted Trees, Random Forests). Core Technical Proficiency: High proficiency in Python for data science (including libraries like Pandas, Scikit-Learn, XGBoost/LightGBM) and SQL. Large-Scale Data Expertise: Demonstrable experience working with very large, complex, and sometimes messy datasets to build effective ...

products, and interpreting insights to support data literacy across the organisation. Required Skills:Extensive experience in data analysis using python, especiallyusing libraries such as Pandas and NumPy Relevant experience with Power BI or similar tools such as Tableau or Qlik for data storytelling, data visualisation and reporting Strong programming skills ...

Required qualifications, capabilities, and skills Proven experience developing data pipelines and solutions on Databricks. Strong proficiency in Python, including libraries for data transformation (e.g., pandas). Solid understanding of ETL concepts, data modelling, and pipeline design. Experience with Spark and cloud data platforms. Ability to document data flows and transformation ...

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 ...

time-series work Data and ML pipelines built for production, not demos Dashboards and tools that non-technical users can act on Python (Pandas, scikit-learn, PyTorch/TensorFlow), Spark and AWS Why it's worth a look Real operational deployment, not endless proofs of concept Direct contact with ...

Skills and Knowledge Strong programming skills in Python (mandatory), with experience in C++, Java, or similar languages. Proficiency in data handling and analysis using Pandas, NumPy, and SQL. Familiarity with cloud-based solutions and version control (Git). Solid understanding of risk modelling, margin methodologies, and derivatives pricing. Knowledge ...

Publisher: Build interactive OAS dashboards, analyses, and BI Publisher data models, layouts, bursting, and automated schedules. Python Automation: Design production-grade Python scripts (pandas, oracledb, SQLAlchemy, openpyxl, etc.) to replace Access macros, automate extraction, and deliver automated report packs. Testing & Delivery: Conduct parallel runs, complete data reconciliation, establish rollback plans ...

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 ...