51 to 75 of 272 Pandas Jobs in the UK

strong foundation in system design, data storage, and reliability with commonly used data platforms (Databricks, Snowflake, BigQuery, PSQL, etc.) and data engineering tools (e.g., Pandas, Spark, dbt, etc.) Hands-on experience with MLOps/LLMOps principles, including CI/CD for data workflows, automated agent evaluation (LangSmith, Opik, Langfuse ...

delivering production-ready models that drive measurable business value. Technical Proficiency: Strong expertise in Python and SQL. Deep familiarity with the Python data stack (pandas, NumPy, scikit-learn) and standard ML frameworks (such as PyTorch, XGBoost, or LightGBM). Engineering Rigor: Proven ability to build for production. Experience working ...

stress-testing, simulation analysis, rare event modeling, and stochastic modeling preferred but not required. Substantial experience with Python, R, and relevant libraries (e.g., numpy, pandas, scikit, pytorch, tidyverse, caret, ggplot, etc.). Proven experience developing, refining, and monitoring NLP models. Familiarity with database management tools and techniques (e.g., SQL, Selenium ...

good understanding of the underlying physical principles related to battery technology, electric vehicles, EV charging, and the energy sector. Python experience (numpy, streamlit, scipy, pandas, matplotlib, plotly, poetry, GIT, scikit-learn and other scientific libraries) Excellent mathematical, analytical and problem-solving ability Excellent professional communication, reporting and presentation skills Excel ...

equivalentEnd-to-end experience with data, including querying, aggregation, analysis, and visualizationStrong competencies in Python for data analysis using the python data science libraries (Pandas/NumPy/SciPy/Scikit-learn).Strong SQL skills for data retrieval, basic analysis, and data cleansing.Strong knowledge and application of object-oriented design ...

Consulting, etc.). Demonstrated ability to write clean, production-ready code, with strong proficiency in programming languages (preferably Python) and its data manipulation ecosystem (Pandas, etc.). Deep fluency in writing and optimizing complex SQL queries. Hands‐on, practical experience consuming, integrating, and reasoning about RESTful APIs. Strong communication ...

data analysis to identify trends, anomalies, risks, and opportunities within large and complex datasets• Develop reproducible analytical workflows using Python, leveraging tools such as pandas, numpy, scipy, and statsmodels• Query, validate, and analyse data using SQL across structured and semi-structured data environments• Work with modern cloud-based data platforms ...

multi-threading (-s), worker processes, memory allocators, compression algorithms, and partitioned database maintenance. Languages & Frameworks: Strong proficiency in Python (including data science stack: Pandas, NumPy, and integration tools like embedPy, PyKX, or qPython). Solid understanding of Java interface programming with KDB+ and platform Familiarity with enterprise messaging middleware (Kafka ...

mechanisms.Proficiency with one or more quantum SDKs: Qiskit, Cirq, PennyLane, AWS Braket, Azure Quantum/QDK.Strong Python programming capabilities, including numerical libraries (NumPy, SciPy, pandas).Understanding of classical optimization, linear algebra, and probabilistic reasoning.Experience with version control (Git), containers (Docker), and CI/CD workflows. Languages: Python, C++, Rust ...

degree in Machine Learning, Statistics, Data Science, Physics, Computer Science, or a related field, or equivalent education and industry experience. Advanced Python proficiency with Pandas, NumPy, scikit‐learn, and PyTorch or TensorFlow; SQL and practical data preparation skills. Strong statistics, experimental design, hypothesis testing, ML validation, and applied classification, regression ...

role where you'll have the opportunity to work across backend development, large-scale data processing and cloud technologies. Technology Stack Essential Python FastAPI Pandas ETL Pipelines Docker Kubernetes Desirable Azure Databricks Angular Power BI Data Science or Machine Learning experience What They're Looking For Strong commercial Python development ...

through university projects, internships or personal projects. Experience with AWS or Google Cloud Platform. Knowledge of Docker and CI/CD concepts. Exposure to Pandas, NumPy, R or machine learning. Interest in scientific, healthcare, biotech or data-focused environments. Whether you're a recent graduate, have completed a placement year ...

experience Proven experience as a data scientist in a commercial or public sector setting. Strong Python and SQL skills, including libraries such as pandas and scikit-learn. Solid grounding in statistics and machine learning methods. Experience with data visualisation tools such as Power BI, Tableau or Python libraries. Experience using ...

Claude Code to support development, debugging, testing and documentation Experience required: Strong SQL skills for transforming, cleaning and loading data Commercial Python, PySpark and Pandas experience Experience with orchestration tools such as Airflow, Dagster or Celery Practical experience with Spark and EMRHands-on knowledge of AWS services, including Lambda ...

Claude Code to support development, debugging, testing and documentationExperience required:·Strong SQL skills for transforming, cleaning and loading data·Commercial Python, PySpark and Pandas experience·Experience with orchestration tools such as Airflow, Dagster or Celery·Practical experience with Spark and EMR·Hands-on knowledge of AWS services, including Lambda ...

your certifications current and stay on top of emerging tools, especially in GenAI and agentic AI We're looking for: Advanced Python, including NumPy, Pandas and Scikit-learn, with hands-on experience building, training and deploying ML models Strong practical knowledge of GenAI, including prompt engineering, LLM optimisation, multimodal ...

Experience Proven experience as a data scientist in a commercial or public sector setting. Strong Python and SQL skills, including libraries such as pandas and scikit-learn. Solid grounding in statistics and machine learning methods. Experience with data visualisation tools such as Power BI, Tableau or Python libraries. Experience using ...

Python skills by building a car price prediction app using Python and Streamlit. Step 6 Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real ...

contribute to a culture of continuous learning. Qualifications and Skills Fluent in Python and SQL , comfortable with the Python Open Data Science Stack (pandas, NumPy, scikit‐learn, matplotlib, Seaborn). Hands‐on experience with at least one LLM application pattern (Retrieval‐Augmented Generation, fine‐tuning, or building LLM evaluation suites ...

production-grade backend systems at scale. Core Technical Skills Strong proficiency in Python as a primary backend language. Hands-on experience with FastAPI and Pandas for building data-driven API services. Solid experience with PostgreSQL - schema design, query optimization, and migrations. Experience with RabbitMQ or similar message brokers for asynchronous ...

frameworks, and deployment pipelines Solid foundations and understanding of production‐grade, cloud‐native platform and infrastructure requirements, design, and implementation. Strong data manipulation skills (pandas, SQL) and understanding of evaluation strategies for LLM‐based systems Ability to work with ambiguity and optimise non‐deterministic systems through a process of experimentation ...

life cycle processes and tools: CI/CD, version control (git), testing frameworks, MLOps. Experience with data science Python libraries such as Scikit-learn, Pandas, NumPy, Pytorch etc. Comfortable working with Docker and containerised applications Experience using AWS or similar cloud computing platform Experience delivering machine learning solutions within regulated ...

insurance industry. Exposure to reinsurance, in particular casualty lines, would be a distinct advantage. Excellent Python skills, with demonstrable, production-quality experience using pandas and related libraries for data cleansing, transformation and automation. Experience with Git and collaborative development workflows. Strong SQL, with practical experience of designing relational database schemas ...

products. (We typically use Heroku, but experience with AWS, GCP or others is very welcome.) Experience using Python libraries for data analysis, such as pandas, scikit, numpy, nltk, matplotlib, jupyter. Ability to communicate effectively on both technical and non-technical levels, and to cultivate a supportive environment for more junior ...

professional experience building quantitative trading tools, models, or analytics in a financial or commodities setting Strong Python skills in a scientific computing environment (numpy, pandas, scipy, statsmodels or similar) Solid grounding in statistics, time series analysis, and data modeling; machine learning experience is a plus Experience building data pipelines ...