276 to 300 of 332 Pandas Jobs in the UK

e.g. by using Hadoop/Spark/SQL. Experience with or ability to quickly learn open-source software including machine learning packages, such as Pandas, scikit-learn, along with data visualization technologies. Experience in the retail sector would be an added advantage. What you can expect from us We won More ❯

cloud-based tools like AWS SageMaker and Lambda, and you'll know your way around Git, SQL, and common Python data science libraries (like pandas/polars, scikit-learn, xgboost/lightGBM, and TensorFlow/PyTorch). Bonus points if you've worked with linear programming, or have experience in More ❯

domains: data pre-processing and post-processing, machine learning, deep learning, time-series algorithms, explainability methods and more, using Python packages (including Scikit-Learn, Pandas, NumPy, NLTK, etc.). Preferred skills and technical familiarity At least 4 years of proven experience in Data Science. Sc./M.Sc. from a leading More ❯

in pragmatic application of data science and optimization best practices at large scale (industry scale platform experience preferred) Excellent development skills (Python required, specifically pandas, numpy, SciKit; Knowledge in Scala a plus) Familiarity with digital marketing, advertising or analytics is a plus Work experience in complex system engineering environments is More ❯

the essence from complex matters and explain it simply. Being inquisitive and ensuring decisions are data-driven. Expertise working with large datasets using Python (Pandas) or SQL. A solid understanding of credit policy governance framework and the ability to work through the second/third line of defence in a More ❯

experience in Python Ability to visualise data appropriately and in a concise manner utilising a range of technologies. Familiarity with data manipulation libraries (e.g., pandas, numpy) and machine learning libraries (e.g., scikit-learn). Knowledge of standard software development process, good coding practice and change control technologies (e.g., Git, Azure More ❯

Transfer Learning, etc.), and modern Deep Learning algorithms (e.g., BERT, LSTM, etc.) Solid knowledge of SQL and Python's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib, etc.) Understanding of model evaluation, data pre-processing techniques, such as standardisation, normalisation, and handling missing data Solid understanding of summary, robust More ❯

in data analysis and visualization a meticulous coder with an eye for readability, with experience in python and industry standard data science packages (numpy, pandas, matplotlib, sqlite, or others). Able to use SQL syntax writing and workflows. You have good familiarity with file/data formats, such as markdown More ❯

e.g. by using Hadoop/Spark/SQL. Experience with or ability to quickly learn open-source software including machine learning packages, such as Pandas, scikit-learn, along with data visualization technologies. Experience in the retail sector would be an added advantage. What you can expect from us We won More ❯

to model deployment. Experience with some of the following tools and technologies (or an eagerness to learn): Python and its data science ecosystem (e.g., pandas, scikit-learn, TensorFlow/PyTorch). Statistical methods and machine learning (e.g., A/B testing, model validation). Data pipelining tools like SQL, dbt More ❯

transforming raw data into a unified and reliable asset. Projects natural confidence in communication and has strong stakeholder management skills. Has strong proficiency with Pandas, Numpy, PySpark or similar for Data Analysis & Cleaning Python Has some working knowledge of tools such as Beautiful Soup, Selenium and/or Scrapy Python More ❯

in pragmatic application of data science and optimization best practices at large scale (industry scale platform experience preferred) Excellent development skills (Python required, specifically pandas, numpy, SciKit; Knowledge in Scala a plus) Familiarity with digital marketing, advertising or analytics is a plus Work experience in complex system engineering environments is More ❯

Vue.js (visualisation) stacks. Collaborate with QA engineers on coding, testing, and reviews. Ensure smooth application deployment and operation. Technical Requirements: Proficiency in Python 3.11+, Pandas, and virtual environments. Expertise in PHP 8+ and Laravel API development. Vue.js skills, including UI/UX principles and Tailwind CSS. Strong communication and problem More ❯

in regression analysis, classification, clustering, and other relevant techniques. Programming skills in Python and R, with experience in data science libraries (eg, scikit-learn, pandas, TensorFlow) for data manipulation, analysis, and model development. Experience with data visualisation tools (eg, Tableau, Power BI) to communicate data insights effectively. Strong understanding of More ❯

to analyze KPIs and guide budget optimization and scenario planning. Key Responsibilities: Extract, manipulate, and analyze datasets to prepare for modelling (Excel, SQL, Python, Pandas). Build and refine base models with clear variable rationale and KPI linkage. Create ROI workbooks , response curves, and optimization charts. Run scenarios for budget More ❯

to analyze KPIs and guide budget optimization and scenario planning. Key Responsibilities: Extract, manipulate, and analyze datasets to prepare for modelling (Excel, SQL, Python, Pandas). Build and refine base models with clear variable rationale and KPI linkage. Create ROI workbooks , response curves, and optimization charts. Run scenarios for budget More ❯

e.g. by using Hadoop/Spark/SQL. Experience with or ability to quickly learn open-source software including machine learning packages, such as Pandas, and Sci-kit learn, along with data visualisation technologies. Required Skills/Experience The ideal candidate will have the following: Experience with programming, ideally Python. More ❯

e.g. by using Hadoop/Spark/SQL. Experience with or ability to quickly learn open-source software including machine learning packages, such as Pandas, scikit-learn, along with data visualisation technologies. Experience in retail sector would be an added advantage. A plus if you also have: PhD in Computer More ❯

uncertainty quantification and performance estimation (e.g., cross-validation, bootstrapping, Bayesian credible intervals). Familiarity with database and data processing tools (e.g., SQL, MongoDB, Spark, Pandas). Ability to translate ambiguous business problems into structured, measurable, and data-driven approaches. Preferred Qualifications: M.Sc or PhD in Statistics, Electrical Engineering, Computer Science More ❯

and managing business projects; As a plus: prior experience in structuring, pricing & underwriting parametric insurance covers for climate risks. SKILLS Proficiency in Python (e.g. pandas, scikit-learn); Strong background in statistics and mathematics, showing clear understanding of probabilities; Eye for quality, autonomous and attention to detail; Fluency in English (written More ❯

and managing business projects; As a plus: prior experience in structuring, pricing & underwriting parametric insurance covers for climate risks. SKILLS Proficiency in Python (e.g. pandas, scikit-learn); Strong background in statistics and mathematics, showing clear understanding of probabilities; Eye for quality, autonomous and attention to detail; Fluency in English (written More ❯

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 ❯