76 to 100 of 151 Pandas Jobs in England

related to credit risk management. • 2+ years of experience as a quantitative researcher or data scientist. • Strong programming skills in Python and experience with data science tools such as Pandas, NumPy, and SciPy. • Strong statistical and modeling skills. • Strong communication and collaboration skills. • Experience in the energy industry is a plus. Competitive salary and a stock options sign-on bonus More ❯

managing risk in EMEA markets Proven trading track record of systematic trading profitability & understanding of common systematic trading strategies Fluency in quantitative data analysis using latest tools, preferably python, pandas & KDB Organizational and time management skills Strong communication, both real-time & technical communication This role encompasses the performance of UK regulated activity. The successful candidate will therefore be subject to More ❯

and again. Proven track record delivering impactful ML/AI solutions in production. Deep expertise in Python and modern AI/ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn, NumPy, Pandas). Hands-on experience with GenAI, agentic AI, and automated testing for AI systems. Curiosity and creativity to challenge assumptions and explore new approaches. Strong communication skills and a passion More ❯

Work with other data scientists to build and deploy production-level solutions Troubleshoot and debug code Work with other teams to understand and solve business problems About you: Python (pandas, NumPy, scikit-learn): For data wrangling, modelling, and feature engineering SQL: For querying structured data sources Model Development & Validation: Experience with classification, unsupervised learning (e.g. outlier detection), and ranking models More ❯

types and structures Unit testing using pytest Proficiency in SQL (we use MySQL, but experience with other SQL platforms is welcome). Experience with data manipulation and transformation using Pandas . Familiarity with ETL/ELT processes and data warehousing concepts. Understanding of cloud platforms (AWS or Azure). Basic knowledge of Git and GitHub for version control and collaboration. More ❯

types and structures Unit testing using pytest Proficiency in SQL (we use MySQL, but experience with other SQL platforms is welcome). Experience with data manipulation and transformation using Pandas . Familiarity with ETL/ELT processes and data warehousing concepts. Understanding of cloud platforms (AWS or Azure). Basic knowledge of Git and GitHub for version control and collaboration. More ❯

Ideally experience with de novo transcriptome assembly, Machine Learning and/or Artificial Intelligence, or experience mining genomic data Experience with Python and libraries such as SciPy, Pytorch, NumPy, Pandas etc. What Next? If you'd like to hear more about this exciting Bioinformatician position, just give me a call or drop me an email, I'd love to chat More ❯

systems (e.g. Red Hat, Ubuntu) Experience working within a variety of development frameworks and practices e.g. DevOps, DevSecOps, SCRUM, MLOps, XP. Experience with data analysis and manipulation tools (e.g. Pandas) Experience of a broad section of the Software Development Lifecycle (SDLC) with specific focus on: Design(Architecting, High-Level Design and Low-Level Design) Development Testing Deployment & Maintenance Experience of More ❯

experience in data science or a quantitative academic field. Strong programming skills, with the ability to quickly become fluent in Python. Deep knowledge of core data science libraries (NumPy, Pandas, Scikit-Learn) and at least one deep learning framework (TensorFlow, PyTorch, or similar). High mathematical and statistical competence, with the ability to design new algorithms when needed. Experience leading More ❯

accuracy. Requirements: 5+ years of experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Strong Python skills (including libraries like Pandas, NumPy, Scikit-learn); experience with other languages is a plus Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads More ❯

accuracy. Requirements: 5+ years of experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Strong Python skills (including libraries like Pandas, NumPy, Scikit-learn); experience with other languages is a plus Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads More ❯

Experience deploying and managing applications using Azure and Docker. Familiarity with frameworks such as LangChain and expertise in Retrieval-Augmented Generation (RAG) models for AI-driven applications. Proficiency with pandas for data manipulation. Full Stack Developer - What's in it for you? Salary Reviews: Twice a year to recognise your contributions. Generous Annual Leave: Enjoy 25 days plus three days More ❯

DB experience and Vector DB experience * Proven experience in time series analysis and forecasting, preferably in a commercial or industrial setting. * Strong proficiency in Python, including libraries such as Pandas, NumPy, and scikit-learn for data manipulation and modelling. * Experience with machine learning algorithms. * Proficient in data visualization techniques to effectively communicate insights from time series data. * Strong problem-solving More ❯

academic field Strong python programming skills as evidenced by earlier work in data science or software engineering. An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of More ❯

A proactive approach to problem-solving and collaboration, with the ability to work closely with technical and non-technical teams. Desired Skills Python expertise, especially with data libraries like Pandas, NumPy, and Scikit-learn. Familiarity with ETL tools and data pipeline orchestration. Exposure to data science tools like SAS or Posit. Experience in performance-critical environments, particularly with large-scale More ❯

and performance of a potential solution Comprehensive knowledge of software engineering, programming fundamentals and industry experience using Python Experience with data manipulation and processing, such as SQL, Cypher or Pandas A can-do proactive and assertive attitude - your manager believes in freedom and responsibility and helping you own what you do; you will excel best if this environment suits you More ❯

academic field Strong python programming skills as evidenced by earlier work in data science or software engineering. An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of More ❯

leadership or senior technical role. Proven experience in energy trading environments, particularly Natural Gas and Power markets. Expert in Python and SQL; strong experience with data engineering libraries (e.g., Pandas, PySpark, Dask). Deep knowledge of ETL/ELT frameworks and orchestration tools (e.g., Airflow, Azure Data Factory, Dagster). Proficient in cloud platforms (preferably Azure) and services such as More ❯

repeatedly and successfully. Youre confident in owning the process independently, from problem formulation to monitoring impact in production Technical Proficiency: Strong Python and experience with ML libraries (e.g., Scikitlearn, Pandas, LightGBM), plus working knowledge of cloud infrastructure and data tools (Snowflake, DBT, Omni) Structured Thinking: You use a clear and repeatable process to approach ML problems, including problem formulation, KPI More ❯

systems, with strong understanding of RAG workflows, including indexing, retrieval, and integration with language models. Technical Proficiency : Advanced proficiency in Python and experience with data manipulation and analysis libraries (Pandas, NumPy, SciPy), along with strong knowledge of machine learning algorithms, statistical modelling, and data mining techniques. Commercial Acumen : Deep understanding of product dynamics, market needs, and commercial considerations essential for More ❯

engineers, data analytics/scientists on the development of analytics, insight and marketing model development. Data manipulation, cleaning and analysis : Proficient in data manipulation and analysis using tools like Pandas, NumPy, and SQL. Ability to work with large-scale datasets and extract meaningful insights. Experience in data processing to enable accurate analytics as well as effective model creation Ability to More ❯

deployment and beyond (monitoring and improvement). In-depth knowledge of statistical hypothesis testing and ML modeling techniques. Experience in using Python for numerical/statistical programming (including Numpy, Pandas, and Scikit-learn). Significant experience in using SQL. Ability to communicate effectively with audiences of various backgrounds, levels, and functions. Experience in conducting and analyzing AB tests in an More ❯

you We believe that no one is the finished article, however, some experience in the following is important for this role: Strong Python skills and experience with data pipelines (pandas, SQLAlchemy, Airflow) Deep understanding of modern AI (RAG, agentic AI, MCP, vector databases) Skilled in designing scalable data architectures and working with structured/unstructured data How We Work (This More ❯

you We believe that no one is the finished article, however, some experience in the following is important for this role: Strong Python skills and experience with data pipelines (pandas, SQLAlchemy, Airflow) Deep understanding of modern AI (RAG, agentic AI, MCP, vector databases) Skilled in designing scalable data architectures and working with structured/unstructured data How We Work (This More ❯

insights into actionable strategies. Your Skills & Experience We’re looking for a Data Scientist with: Strong experience in predictive modeling, customer analytics, or marketing data science. Proficiency in Python (Pandas, NumPy, Sci-Kit Learn) or similar tools. A proven track record of delivering impactful, data-driven solutions. Strong communication skills and the ability to translate complex insights for non-technical More ❯