226 to 250 of 284 Pandas Jobs in England

insight from data, using tools such as Python and SQL Excellent Python skills, including relevant libraries for data analysis and machine learning (e.g., sklearn, Pandas, NumPy) and at least one deep learning framework Excellent communication skills through written reports and presentations Organisational skills (e.g., planning, time management) Strong problem-solving More ❯

a strong ability to analyze and interpret large datasets, uncovering meaningful trends and insights. You are proficient in SQL and experienced in using Python (pandas, numpy, matplotlib, seaborn) for exploratory data analysis and data visualization. Big plus is practical familiarity with the big data stack (Spark, Presto/Athena, Hive More ❯

insurance sector is a plus! Education: Degree in Computer Science, Data Science, Engineering, or a related field. Technical Skills: - Proficiency in Python, SQL and Pandas - Experience with modern NLP techniques and tools. - Ability to create and manage data quality metrics and dashboards. - Experience working in a multifunctional agile development team. More ❯

with significant industry or research experience in the field. Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas). Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals. Experience More ❯

as robustness, explainability, or uncertainty estimation. Advanced programming and mathematical skills with Python and an experience with the standard Python data science stack (NumPy, pandas, Scikit-learn etc.). The ability to conduct and oversee complex technical research projects. A passion for leading and developing technical teams; adopting a caring 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 ❯

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 ❯

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 Maintains a solid knowledge of both Automation tools, & other emerging technologies including AI platforms & LLM's. 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 ❯

We're Looking For: Solid hands-on experience in predictive analytics , especially around propensity modelling and churn analysis . Strong technical skills in Python (Pandas, Scikit-learn, etc.) and SQL . Excellent communication skills - able to explain complex insights clearly. Self-starter attitude with the ability to work independently in 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 ❯

Curious, independent, and rigorous with a keen eye for detail. Technical expertise in performing advanced analytics on large datasets using technologies such as Python, Pandas, R, and SQL. Nice to have: Experience in AI-driven analytics or predictive insights and/or experience working with data science models. What can 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 ❯