15 of 15 Permanent Pandas Jobs in Berkshire

are a plus) Solid understanding of software architecture, algorithms, data structures and computer science fundamentals Interest or experience in quant finance Advanced knowledge of the python data science stack (Pandas, NumPy, SciPy) is a plus Strong academic background from a top tier university a major plus If this sounds of interest we'd love to hear from you! Vertex Search More ❯

Essential Skills and Experience: Proven ability to solve complex, real-world problems through data science and analytics. Experience coaching and reviewing work of junior team members. Strong Python skills (pandas, numpy, scikit-learn) and a solid grounding in probability and statistics. Deep knowledge of machine learning methods and their practical application. Experience managing multiple end-to-end data science projects More ❯

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 ❯

in Data Analysis, with approx. 4+ years in a senior or equivalent role. Strong experience in SQL (writing and optimising complex queries). Proficiency in Python (including libraries like Pandas, NumPy, SQLAlchemy). Experience working with large datasets , and advanced data modelling techniques. Ability to engage with stakeholders and translate their needs into actionable data solutions. Solid understanding of data More ❯

in Data Analysis, with approx. 4+ years in a senior or equivalent role. Strong experience in SQL (writing and optimising complex queries). Proficiency in Python (including libraries like Pandas, NumPy, SQLAlchemy). Experience working with large datasets , and advanced data modelling techniques. Ability to engage with stakeholders and translate their needs into actionable data solutions. Solid understanding of data More ❯

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 ❯

Data Science, with a proven track record of delivering impactful projects. Strong statistical and machine learning expertise, with the ability to apply and evaluate various algorithms. Proficiency in Python (Pandas), SQL, and data analytics tools. Experience deploying and evaluating ML models in production environments. Ability to interpret complex datasets, drawing meaningful insights to drive business decisions. Strong communication skills, with More ❯

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 SQLAlchemy. 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 Structures More ❯

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 ❯

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 ❯

experience in a data science or analytics role, preferably within the AI/ML industry. Expert-level proficiency in Python and extensive experience with data science libraries such as Pandas, NumPy, and Scikit-learn. Deep hands-on experience with deep learning frameworks, particularly PyTorch . Proven experience with statistical analysis , hypothesis testing, and data visualization techniques. Familiarity with computer vision 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 ❯

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 ❯

tools, and data pipelines to assist portfolio managers in making informed investment decisions. The ideal candidate will be proficient in Python and have experience working with data structures like Pandas to build scalable and efficient solutions in a fast-paced, dynamic environment. Responsibilities Collaborate closely with equity portfolio managers to understand their needs and develop software solutions to enhance portfolio … to analyze large datasets and derive actionable insights for equity portfolios. Build and maintain data pipelines, ensuring data accuracy, reliability, and scalability. Use Python (and related libraries such as Pandas, NumPy, etc.) to develop and automate tasks, backtest strategies, and optimize performance. Work with portfolio managers to create tools for portfolio construction, risk analysis, and scenario modeling. Ensure seamless integration … Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, Finance, or a related field. Strong proficiency in Python, with a deep understanding of libraries like Pandas, NumPy, and others for data manipulation and analysis. Solid understanding of financial markets, particularly equities, and portfolio management concepts. Knowledge of databases (SQL, NoSQL) and experience in working with large More ❯

and multi-process Python apps that consume transactional data, transform, store and visualise data, i.e. exposure to: building multithreaded and multi process python systems using frameworks such as Dask, Pandas, Numpy. building web-based GUI’s using Python frameworks such as Dash building Python based REST servers using frameworks such as Fast API writing Docker files, configuring Gitlab CICD pipelines … risk analysts and middle officers to understand and gather requirements Design, development, testing and documenting REQUIRED SKILLS: Python Multi-threading & asynchronous programming Knowledge of commodities/Energy trading Dask, Pandas, Numpy frameworks. Full life cycle development Excellent Communication skills Python web framework (e.g., Flask, Dash) Built RESTful Web APIs More ❯