176 to 200 of 213 Pandas Jobs in the UK

analytics and hands-on experience and solid understanding of machine learning and deep learning methodsExtensive 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 goalsExperience with big data and scalable model training More ❯

working in a collaborative, face-to-face, and iterative development environment. Skills & Experience Strong foundation in applied mathematics, statistics, or machine learning. Experience building and deploying models in Python (pandas, NumPy, scikit-learn, etc.). Comfort working with large and complex datasets, including data wrangling and exploratory analysis. Experience (or strong interest) in GPU-powered model development (e.g. using PyTorch More ❯

working in a collaborative, face-to-face, and iterative development environment. Skills & Experience Strong foundation in applied mathematics, statistics, or machine learning. Experience building and deploying models in Python (pandas, NumPy, scikit-learn, etc.). Comfort working with large and complex datasets, including data wrangling and exploratory analysis. Experience (or strong interest) in GPU-powered model development (e.g. using PyTorch More ❯

lifecycle. Experience with APIs or working with different data sources. Desirable: Experience with Azure technologies . Certification in Power BI/Data Engineering , Azure fundamentals . Familiarity with Python, Pandas, or ML concepts (a plus, but not required ). Worker Type: Employee About Us Cubic creates and delivers technology solutions in transportation that make people's lives easier by simplifying More ❯

the data lifecycle - from pipelining 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, BigQuery, or Spark. A strong More ❯

Masters, PhD, or equivalent in Operations Research, Data Science, Mathematics, Statistics, Computer Science, Physics, or related technical fieldpreferred A professional with 5+ years experience with Python. Knowledge of NumPy, Pandas, Scikit-learn, and Networkx is an extra bonus! Experienced working directly with external customers (ideally in a consulting role) to identifyrequirements and consult on solutions to complex business problems Experienced More ❯

written narratives Self-starter who thrives in fast-paced, scaling environments and enjoys working cross-functionally Nice to Haves Experience with Drivetrain or Adaptive Insights Working knowledge of Python (pandas) for ad-hoc analysis Prior exposure to scaling finance systems and processes in a Series B+ SaaS environment Understanding of SaaS metrics: NRR, CAC, LTV, retention curves, and cohort analysis More ❯

applying Generative AI to enhance traditional natural language processing tasks, prompt engineering, integrating LLMs into machine learning workflows Strong Python skills and familiarity with libraries such as scikit-learn, pandas, NumPy, PyTorch or TensorFlow Advanced SQL skills and experience working with complex, high-volume datasets Practical experience with MLOps tools and practices for deploying and maintaining models Experience leading projects More ❯

fast-changing environment with high ownership 💡 What We’re Looking For: A strong generalist data scientist with a proven track record in fast-paced environments Fluent in Python (e.g. pandas, scikit-learn) and SQL; comfortable with basic data infrastructure Experience with optimisation, clustering, or operations research a big plus Able to handle ambiguity, context-switching, and high volumes of data More ❯

fast-changing environment with high ownership 💡 What We’re Looking For: A strong generalist data scientist with a proven track record in fast-paced environments Fluent in Python (e.g. pandas, scikit-learn) and SQL; comfortable with basic data infrastructure Experience with optimisation, clustering, or operations research a big plus Able to handle ambiguity, context-switching, and high volumes of data More ❯

guide a team of data scientists, driving technical excellence. Collaborate with clients to define problems and deliver measurable impact. Stay hands-on with Python and modern data science tools (pandas, scikit-learn, etc.). Requirements Proven experience leading end-to-end data science projects. Expertise in machine learning, statistical modelling, and optimisation. Strong coding skills (Python, cloud platforms, ML frameworks More ❯

groups will be slit accordingly) Data Skills programmes: No-code Programme - Data visualisation, data cleaning, data analytics, statistics, Power BI Extended Programme - All of the above, plus basic Python (Pandas), SQL, and practical machine learning Course Format: Full-time: 10-12 weeks, one weekday (09:00 - 17:30) Evenings: 16 weeks, two evenings per week (18:00-21:00) Contract More ❯

years’ experience in a Data Science, AI, or ML-related role Experience with forecasting, propensity and segmentation Strong Python skills and experience with libraries like scikit-learn, pandas, and Prophet Hands-on experience developing and deploying ML models in production A track record of working across the full ML lifecycle in a fast-paced environment Excellent communication and storytelling skills More ❯

groups will be slit accordingly) Data Skills programmes: No-code Programme - Data visualisation, data cleaning, data analytics, statistics, Power BI Extended Programme - All of the above, plus basic Python (Pandas), SQL, and practical machine learning Course Format: Full-time: 10-12 weeks, one weekday (09:00 - 17:30) Evenings: 16 weeks, two evenings per week (18:00-21:00) Contract More ❯

years’ experience in a Data Science, AI, or ML-related role Experience with forecasting, propensity and segmentation Strong Python skills and experience with libraries like scikit-learn, pandas, and Prophet Hands-on experience developing and deploying ML models in production A track record of working across the full ML lifecycle in a fast-paced environment Excellent communication and storytelling skills More ❯

sciences prior experience in a biomedical/pharmaceutical or medical communications environment expert-level proficiency in Python and/or R a strong foundation in data manipulation and analysis (pandas, tidyverse) experience in version control systems (Git) and collaborative development practices an understanding of databases (SQL and/or NoSQL) and data architecture principles proficiency in data visualization and dashboard More ❯

sciences prior experience in a biomedical/pharmaceutical or medical communications environment expert-level proficiency in Python and/or R a strong foundation in data manipulation and analysis (pandas, tidyverse) experience in version control systems (Git) and collaborative development practices an understanding of databases (SQL and/or NoSQL) and data architecture principles proficiency in data visualization and dashboard More ❯

sciences prior experience in a biomedical/pharmaceutical or medical communications environment expert-level proficiency in Python and/or R a strong foundation in data manipulation and analysis (pandas, tidyverse) experience in version control systems (Git) and collaborative development practices an understanding of databases (SQL and/or NoSQL) and data architecture principles proficiency in data visualization and dashboard More ❯

sciences prior experience in a biomedical/pharmaceutical or medical communications environment expert-level proficiency in Python and/or R a strong foundation in data manipulation and analysis (pandas, tidyverse) experience in version control systems (Git) and collaborative development practices an understanding of databases (SQL and/or NoSQL) and data architecture principles proficiency in data visualization and dashboard More ❯

in leading a (small) team 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 and verbal communication) is required More ❯

We are looking for a Server-Side Java/AWS engineer to join a Full-Stack team in Data Engineering embracing new ways of working ( NWoW ) in the Global Investments Financial Systems (GIFS) division. We are rapidly expanding our European More ❯

degree in Computer Science, Mathematics or a similar quantitative discipline Have leadership experience either through previous management or mentorship Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.) Have experience productionising machine learning models Are an expert in at least one of one of : predictive modelling, classification, regression, optimisation or recommendation systems Have experience … Large Language Models (fine tuning, RAG, agents) Experience with graph technology and/or algorithms Our technology stack Python and associated ML/DS libraries (scikit-learn, numpy, LightlGBM, Pandas, LangChain/LangGraph, , TensorFlow, etc...) PySpark AWS cloud infrastructure: EMR, ECS, Athena, etc. MLOps: Terraform, Docker, Airflow, MLFlow More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous More ❯

plan on securing series A funding late this year. They code in Python, and React on the Frontend. Tech & Data Science stack: Kubernetes & Docker on Google Cloud Python 3: Pandas, RabbitMQ, Celery, Flask, SciPy, NumPy, Dash, Plotly, Matplotlib Javascript, React, Redux PostgreSQL, Redis Prometheus, Alert Manager, DataDog If you joined the company in a Data Science role you would be … modelling skills but know when to be pragmatic to ensure the best business outcomes You'll be a coder in Python, C++ or Java Experience of productionizing analytics code pandas, scipy and numpy If your a Data Scientist looking to go on an exciting new journey with an early stage startup, and the opportunity to work on advanced pricing algorithms More ❯

our growing forecast offering. Developing our power market and dispatch models to grow and enhance Modo's product offering. We use Python and the standard scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). Working closely with our product and analytics functions to ensure the product we deliver aligns closely with user needs and provides value to the wider Modo … team. Qualifications: 3 to 5 years experience using Python (or another programming language e.g. R, C++, Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). Strong quantitative skills and a proven track record of solving complex technical problems using data analysis, machine learning, and optimization techniques. Hands-on experience with cloud environments (e.g., AWS) for deploying More ❯

our growing forecast offering. Developing our power market and dispatch models to grow and enhance Modo's product offering. We use Python and the standard scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). Working closely with our product and analytics functions to ensure the product we deliver aligns closely with user needs and provides value to the wider Modo … team. Qualifications: 3 to 5 years experience using Python (or another programming language e.g. R, C++, Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). A degree in a quantitative field such as mathematics, engineering, computer science, physics or a related discipline. Previous experience in energy modelling, with a specific focus on the GB and/ More ❯