51 to 75 of 87 Permanent Pandas Jobs in England

the continual improvement of their performance. REQUIRED SKILLS AND EXPERIENCE Proficiency in Python, including its associated data and machine learning packages such as numpy, pandas, pyspark, matplotlib, scikit-learn, Keras, TensorFlow, and more. Experience working with object-oriented programming languages. Experience in Forecasting & AB testing. Leadership Expertise in utilizing SQL more »

of the sport (rules, terminology, insight). Proficiency in Python. Experience using relational databases and SQL. Familiarity with data manipulation and analysis libraries (e.g., pandas, numpy, jupyter, scikit-learn). Knowledge of machine learning and statistical methods (e.g. linear/logistic regression, decision trees, random forest, unsupervised methods) is preferred. more »

/Bash/Powershell - Experience IaC (Bicep, Terraform, ARM OR azCLI) - CICD experience - Any experience working with Open-Source Python data libraries such as Pandas, Numpy, or any Geospaitial frameworks - is highly desirable. This role will be paying £37,000 - £45,000 DOE You will need to be eligible for more »

and maintaining cloud Data Warehouses 2+ years’ experience of Snowflake configuration, deployment and maintenance Extensive hands-on experience of using Python commercially (scikit-learn, pandas, numpy, etc.) Extensive hands-on experience of using Azure to import, store, process and archive data If you feel your experience is a fit with more »

role would also require occasional travel to Paris or Munich. Main skills: Excellent knowledge of Python and it's related data science libraries (scikit, pandas, etc) Prior experience of using Python to perform calculations and generate datasets Good statistical knowledge Excellent communication and decision making skills Exposure to working with more »

multi-layered "location" data. The Tools You'll Be Using: You'll be working in a cloud-first Google Cloud Platform environment. Using Python (Pandas) for Data Manipulation. Leveraging Python further for ML-based algorithms. The Experience You Need: You will bring 2-3 years of experience as a Data more »

tests in a data pipeline Python skills; be able to write scripts for data processing, cleaning, transformation and analysis Knowledge of various python packages; pandas, SQLite Power BI experience; including DAX, Power Query & m-code Strong Excel knowledge, for data analysis, visualisation and report automation Understanding of Snowflake environment Comfortable more »

optimizers, super/unsupervised learning, feature engineering, etc.). Strong experience with Python required understanding of the ML/DS frameworks (XGBoost, Scikit-learn, Pandas, Numpy, etc.), and modular/modern OOP software design practices with a modern ML/Data/Cloud engineering technical stack If you’re interested more »

Spark Statistical Modelling Azure ML Studio Python and familiarity with libraries and frameworks for data analysis and machine learning (e.g., TensorFlow, sci-kit-learn, Pandas). Microsoft Power BI The ability to use analytical and problem-solving skills, with the ability to work with large, complex datasets and derive actionable more »

React Conatinerisation and IaaC: Docker, Terraform Databases: PostgreSQL, TimescaleDB & NoSQL Databases At least one major cloud platform (GCP Preferred) Familiarity with Python including NumPy, Pandas The Company A well backed start up who bring together huge experience within their space and are delivering a game changing platform within the Green more »

management principles. Experience with quantitative modeling techniques, including statistical analysis, machine learning, and time series analysis. Proficiency in data analysis and visualization tools (e.g., Pandas, NumPy, Matplotlib). Excellent problem-solving skills and attention to detail. Prior experience in a quantitative role at a hedge fund, proprietary trading firm, or more »

available data sources and explore novel methodologies to uncover groundbreaking insights. Required Skills: Proficient in Python 3 and popular data science tools such as pandas, scikit-learn, and more. Extensive experience in creating and fine-tuning machine learning models. Knowledge of time series forecasting and optimisation techniques for accurate predictions. more »

Python Engineer (APIs,Pandas, NumPy) Innovative tech firm. REMOTE, £40k plus bonus. I'm proud to be working exclusively with a growing technology business who are truly a force to be reckoned with, within their chosen industry. They're looking for a true Python Enthusiast to join their tech team more »

Python Engineer (APIs,Pandas, NumPy) Innovative tech firm. REMOTE, £40k plus bonus. I'm proud to be working exclusively with a growing technology business who are truly a force to be reckoned with, within their chosen industry. They're looking for a true Python Enthusiast to join their tech team more »

Python Engineer (APIs,Pandas, NumPy) Innovative tech firm. REMOTE, £40k plus bonus. I'm proud to be working exclusively with a growing technology business who are truly a force to be reckoned with, within their chosen industry. They're looking for a true Python Enthusiast to join their tech team more »

in a quantitative discipline eg. Statistics, Mathematics, Physics, Machine Learning Deep expertise in Python (production-level) and SQL Proficiency in machine learning libraries (eg. Pandas, scikit-learn, TensorFlow) and experience with MLOps frameworks for model deployment Exceptional communication skills, able to engage confidently with non-technical stakeholders Experience resolving operational more »

in scripting, batch processing, and stream processing. Experience with or at least an interest in Machine Learning and widely used technologies, such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, and PyTorch. Knowledgeable about key MLOps concepts such as CI (including data aspects), CD (specific to ML), CT (Continuous Training), feature more »

Architectures (e.g., MLP, RNN, CNN) and popular frameworks (e.g., TensorFlow, PyTorch, Keras). Expertise in multiple open-source machine learning libraries (e.g., scikit-learn, Pandas, NumPy, Matplotlib, seaborn, Spacy, NLTK, transformers, Hugging Face, pymupdf). Practical experience solving NLP and document extraction problems. Ability to create compelling stories and visualizations more »

Data Scientist with a track record of adding value Proficient in Python and SQL Familiarity with data analysis and visualisation tools such as Tableau, pandas, or matplotlib Quick learner with the ability to acquire and apply new skills independently Excellent presentation skills Ability to work independently and thrive in a more »

holder and the ability to develop skills and experience in the following would be considered core requisites to undertake the role: SQL Python (e.g. Pandas, SciKit Learn) AI/Machine Learning PowerBI SSIS/SSRS R Microsoft SQL Server (multiple versions) About us The Royal Cornwall Hospitals NHS Trust is more »

in machine learning, computer science or related field. Proven track record of peer-reviewed publications. Strong programming skills and experience working with Python and Pandas, Numpy, scikit-learn or other standard ML and deep learning libraries Familiar with commonly used machine learning algorithms and experience in using at least one more »

techniques, and building and training deep learning models. Creating and handling large datasets including pre-processing steps and familiarity with data manipulation libraries like Pandas, NumPy, and data visualization tools such as Matplotlib or Seaborn. Hands-on experience of building ML solutions for resource-constrained situations and deploying to edge more »

developing AI-based products Experience of developing using Computer Vision 3+ years of experience implementing and/or architecting MLOps solutions Python (NumPy, PyTorch, Pandas, etc.), Demonstrable leadership experience in managing a team of 4+ individuals Experience of working within a start-up would be beneficial but not an essential more »

+ benefits Purpose: Design, build, and maintain scalable data architectures, including pipelines and cloud-based data warehouses. Tech: Python (NumPy, Pandas), SQL, ETL, Cloud (AWS, Azure or GCP), Snowflake, Airflow, BigQuery, PowerBI/Tableau Industry: Fintech, Maritime trading Immersum are supporting the growth of a specialist consultancy who solely specialise … machine learning deployments, financial benchmark production, and internal auditing of data quality and integrity. The Tech: Python: Strong proficiency, including experience with libraries like Pandas and NumPy. SQL: Advanced skills in complex querying and data manipulation. Data Modelling: Proven ability in designing efficient models for scalability and performance. ETL Processes more »

let us know and we will be happy to support you. KEYWORDS: Python/Google Cloud Platform/GCP/SQL/PostgreSQL/Pandas/SQLAlchemy/Apache Airflow/DataBricks/Data Bricks/Snowflake/Luigi/BigTable/Redis/CouchDB/RethinkDB/Elasticsearch/…/Risk Management/Asset Management/Reinsurance/Big Data/Python/Google Cloud Platform/GCP/SQL/PostgreSQL/Pandas/SQLAlchemy/Apache Airflow/DataBricks/Data Bricks/Snowflake/Luigi/BigTable/Redis/CouchDB/RethinkDB/Elasticsearch/…/Risk Management/Asset Management/Reinsurance/Big Data/Python/Google Cloud Platform/GCP/SQL/PostgreSQL/Pandas/SQLAlchemy/Apache Airflow/DataBricks/Data Bricks/Snowflake/Luigi/BigTable/Redis/CouchDB/RethinkDB/Elasticsearch/ more »