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4 of 4 Remote Pandas Jobs in Slough
slough, south east england, united kingdom Hybrid / WFH Options Intellect Group
automatically extract key clauses from contracts, applying NLP to analyse case law, or building a compliance risk prediction tool using large language models. Strong programming skills in Python (NumPy, pandas, scikit-learn, matplotlib); R is also welcome. A solid understanding of core ML concepts, NLP techniques, data wrangling, and model evaluation. Proficiency with SQL and experience handling large, unstructured datasets. More ❯
slough, south east england, united kingdom Hybrid / WFH Options Datatech Analytics
fraud, and customer conversion. It’s a hands-on role, working with structured and unstructured data in a fast-paced, collaborative team. What We’re Looking For Strong Python ( pandas, sklearn, etc.) and advanced SQL Experience in behavioural or credit models Good understanding of ML algorithms Clear communicator across technical and non-technical teams Knowledge of data drift and model More ❯
slough, south east england, united kingdom Hybrid / WFH Options Datatech Analytics
complex queries, optimise performance, and manipulate large datasets across relational databases. Strong Python Proficiency: Skilled in using Python for data analysis, and automation with experience in libraries such as Pandas, NumPy, and SQL Alchemy. Data Modelling: Handle and model large amounts of data, create solutions to solve problems and to answer key business questions Data Structures:Strong Understanding of Data More ❯
slough, south east england, united kingdom Hybrid / WFH Options Kantar Media
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 ❯
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