176 to 200 of 260 Pandas Jobs in the UK

Python and fluency with the modern AI and data science tooling, including frameworks for building with large language models alongside libraries such as pandas, NumPy and scikit-learn. Strong mathematical and statistical foundations, including probability, statistics, linear algebra and optimization, and the ability to reason rigorously about uncertainty, error ...

experience building and deploying machine learning models in production environments where accuracy and reliability are critical. Advanced Python skills, including hands-on use of pandas and scikit-learn. Strong statistical knowledge and the ability to design effective validation and evaluation methodologies. Experience assessing model performance, analysing errors, and communicating findings ...

statistical modellingApply machine learning techniques for yield prediction and optimisationContribute to technical reports, planning submissions, and investor materialsWhat We're Looking ForStrong Python skills (pandas, NumPy, scikit-learn, matplotlib)Experience with SQL and relational databasesExposure to geospatial tools (QGIS, GeoPandas, or similar)Solid understanding of statistics and machine learning fundamentalsInterest ...

proprietary research platform to support new exchanges, products and functionality. Python Developers Must Have: Expert in writing production level Python code including numpy, pandas, scipy, statsmodels etc (Python packages for numerical and statistical analysis)Able to take high level requirements and lead with constructing the engineering concept to underpin that ...

Data Platform Stack We employ software engineering best practices to design, test, and deploy our data platform and services using the below technologies: Python, pandas and SQL in Jupyter notebooks for analysis dbt and Databricks data platform with Delta Lake Lightdash as our BI tool and semantic layer Streamlit ...

deep learning, reinforcement learning, or predictive modeling to solve problems involving complex data patterns and market dynamics. Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.). Ability to communicate and interact with a wide range of users, from highly technical to non‐technical backgrounds. Strong analytical skills with ...

limitations in language each audience trusts. Essential Strong applied proficiency in Python and/or R, including modern data and ML libraries (e.g. pandas, scikit-learn, statsmodels or equivalents) and time-series/statistical forecasting methods. • A track record of owning an analytical product end to end – from data acquisition ...

Looking For? The ideal candidate will have the following skills and experience: Strong SQL skills Strong Python skills for dataframe analytics using pandas or polars Confident use of AI coding assistants with sound judgment and validation Financial markets domain knowledge A collaborative approach to working with stakeholders An automation-first ...

awareness of modern approaches such as natural language processing and deep learning Strong Python skills and experience with common libraries such as Pandas, scikit-learn and Jupyter Experience working with SQL and data pipelines to prepare and transform data for model training Understanding of model evaluation, monitoring and improving performance ...

eligible for full-time roles in 2027Experience programming in Python and/or C++Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLABA passion for applying quantitative models and technology toward solving real-world problemsBrilliant analytical and problem-solving skillsAbility ...

related program) who is eligible for full-time roles in 2027Fluency in PythonExperience with statistical analysis, numerical programming, or machine learning in Python,Pandas/Numpy, R, and/or MATLABBrilliant analytical and problem-solving skillsAbility to work creatively and independently on long-term technical problemsBase salary ...

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 ...

awareness of modern approaches such as natural language processing and deep learning Strong Python skills and experience with common libraries such as Pandas, scikit-learn and Jupyter Experience working with SQL and data pipelines to prepare and transform data for model training Understanding of model evaluation, monitoring and improving performance ...

tools, e.g. by using Hadoop/Spark/SQLExperience with or ability to quickly learn open-source software including machine learning packages, such as Pandas and scikit-learn, along with data visualisation technologies. A willingness to present your work to both technical and non-technical audience and to contribute ...

Experience designing or contributing to evaluation frameworks for ML models, ideally with imaging or comparable scientific image data. Strong Python data-science stack (numpy, pandas/polars, scikit-learn, PyTorch). Familiarity with terabyte-scale imaging data and standard scientific formats. Strong biological grounding and the ability to partner effectively ...

position or a quantitative academic field. You demonstrate strong programming skills, with the ability to be a fluent Python programmer, using core libraries (NumPy, Pandas) and a deep-learning framework (e.g., PyTorch). You have a deep expertise in core data science paradigms (supervised/unsupervised, NLP, validation), demonstrating ...

position or a quantitative academic field. You demonstrate strong programming skills, with the ability to be a fluent Python programmer, using core libraries (NumPy, Pandas) and a deep-learning framework (e.g., PyTorch). You have a deep expertise in core data science paradigms (supervised/unsupervised, NLP, validation), demonstrating ...

techniques in data activation solutions, including supervised and unsupervised learning, classification, and regression models. Expert proficiency in data manipulation and cleaning using libraries like Pandas and NumPy, ensuring high-quality datasets for analysis and modelling. Excellent communication and presentation skills, with the ability to articulate complex findings, derive strategic insights ...

appropriate distributions, testing the assumptions behind frequentist statsProficient in using a statistical scripting language and data science/ML packages (e.g. python such as pandas, sklearn, statsmodels, scipy or R such as dplyr, caret, stats)Well-versed in summarising, visualising and communicating findings in an accessible and compelling wayTrack record ...

quant research and/or ML/Deep Learning platforms. Experience with python numerical, ML and data-oriented libraries is a big plus (e.g. pandas, scikit, pytorch, etc.)Candidates should be prepared for technical interviews in either Python or C++. While there is no hard language requirement for RE roles ...

with any further professional qualifications being welcome. Strong programming skills in Python and SQL. Experience and exposure to data analytics libraries such as numpy, pandas, scipy, cvxpy. Experience with queries and familiarity with stored procedures. Familiarity with code version control tools such as GIT or similar, and ideally experience with ...

ServiceNow), asset management tools, procurement platforms, licence management tools (Snow, Flexera), and infrastructure monitoring (Datadog, Dynatrace, SolarWinds) Data modelling and analytics: SQL, Python/Pandas for cost data analysis; experience building normalisation pipelines and cost allocation engines Dashboard and reporting tools: Power BI, Tableau, Grafana, or custom BI solutions ...

live production environments. We're looking for individuals with: Experience: Proven background as a Machine Learning Engineer. Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib). Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services). ...

lake, data warehouse, data pipelines, analytics & business intelligence Power BI calculation groups, bookmarks, semantic model incremental refresh Tabular Editor Excel dynamic array functions Python, Pandas, NumPy, Matplotlib Sage 200 Linnworks Peoplevox Google Analytics (GA4) Working arrangements: 5 days a week, onsite, Salford, Manchester. They are looking for an experienced Data ...

experience building and deploying machine learning models into production environments where accuracy and reliability are critical. Advanced Python skills, including hands-on experience with pandas and scikit-learn. Strong statistical reasoning and a structured approach to model evaluation and validation. Ability to clearly explain model performance, evaluation methodology, and known ...