1 to 25 of 210 Pandas Jobs in the UK

Fixed Income Credit Rates Bonds ABS Vue Angular React Agile AWS GCP Buy Side Asset Manager Investment Management Performance Risk Attribution TypeScript Node Finance Front Office Trading Financial Services Pandas Numpy Scipy) required by our asset management client in London. You will join a team of 4 that is responsible for an in-house built order tracking and communication platform. More ❯

Engineering, AI, or related field. 7+ years of professional software development experience, with at least 3 years in AI/ML. Strong proficiency in Python , including libraries like NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch . Solid understanding of ML algorithms , NLP , deep learning , and statistical methods. Experience with Docker, Kubernetes , and cloud platforms like AWS/Azure/GCP . More ❯

Information Technology, or a related field. Minimum of 3 years of experience in data engineering or a related role. Proficiency in Python programming and experience with libraries such as Pandas, NumPy, and FastAPI. Experience with weather and climate datasets and tooling (e.g., Copernicus, Xarray, Zarr, NetCDF). Experience with ETL tools and frameworks (e.g., Apache Airflow, Apache NiFi, Talend). More ❯

trading Requirements: Bachelor's degree or higher in CS, Engineering or other technical discipline Demonstrated ability to program in a scientific computing environment, preferably in Python/NumPy/Pandas and Java/C++ Experience working with distributed systems and large data sets Strong knowledge of algorithms, design patterns, OOP, threading, multiprocessing, etc. Experience with SQL, NoSQL, or tick databases More ❯

analytics, process automation, and insight generation-using both proprietary and third-party/foundational models Strong Python skills, with expertise in core data science and AI/ML libraries (pandas, NumPy, scikit-learn, TensorFlow, PyTorch, etc) Familiarity with additional programming languages such as Java, JavaScript/TypeScript, or C++ is beneficial, but your core expertise is in the Python ecosystem More ❯

alignment between technology initiatives and business objectives. Required Qualifications: 6+ years of experience in full stack software development. Proficiency in sever side Python programming. Proficiency in data analysis using Pandas, Numpy, SciPy etc. Experience with object oriented design, distributed systems architecture, performance tuning. Experience with designing and programming relational database such as MySQL, RedShift, Oracle SQL Server, or Postgres. Experience More ❯

knowledge of general financial products and derivatives. Understanding of market microstructure. Strong skills in Excel and Python, SQL and time-series databases. Strong familiarity with Agile processes. Experience with Pandas, NumPy, Matlab, R or other mathematical/statistical languages/packages. Experience in leadership and mentoring. Excellent communication skills, both written and spoken. COMPETENCIES Communication Team work Customer focus Resilience More ❯

system design components, CAP theorem/concept). A keen eye for good user interface design and user experience. Experience with Python packages used for data science (familiarity with Pandas, Numpy, Scikit, Tensorflow). Knowledge of containerisation technologies (Docker, Kubernetes). What you'll do As a Full Stack Engineer, you will build and support well-designed, tested, and scalable More ❯

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 ❯

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 ❯

platforms 5+ years working with front office stakeholders, including traders and researchers to fulfil their data needs Experience performing data analysis in SQL and Python using common libraries like pandas Experience using cloud-based tools like AWS S3 or Snowflake Strong organizational and relationship management skills The annual base salary range for this position is $100,000 to More ❯

with workflow management tools (Airflow/Argo) Prior experience writing documentation for senior stakeholders; the ability to accurately abstract and summarize technical information is critical Python programming skills: PySpark, Pandas, Jupyter Notebooks (3+ years in a professional environment) Prior experience working with git in a professional environment Ability to work independently in a fast-paced environment; prioritize multiple tasks and More ❯

one or more of the following database systems - DynamoDB, DocumentDB, MongoDB Demonstrated expertise in unit testing and tools - JUnit, Mockito, PyTest, Selenium. Strong working knowledge of the PyData stack - pandas, NumPy for data manipulation; Jupyter Notebooks for experimentation; matplotlib/Seaborn for basic visualisation. Experience with data analysis and troubleshooting data-related issues. Knowledge of design patterns and software architectures More ❯

communication skills, ability to convey the ideas behind complex research in a clear and precise manner. A background in coding with proficiency in Python, Java and relevant quantitative packages (Pandas, scikit-learn, etc). Ability to manipulate and analyze complex, large scale, high-dimensionality data from multiple sources. Working experience with high-frequency financial time series is preferred. Explore Insights More ❯

on the client AI Platform, ensuring their integration with advanced data solutions. Lead the architecture, development, and maintenance of comprehensive data integration systems, employing efficient ETL processes using Python, Pandas, and NumPy for large-scale data manipulation. Apply JavaScript or another object-oriented language (e.g., Python, C#) in client environments to seamlessly integrate various system functionalities. Proactively test, diagnose, and More ❯

and machine learning models to contribute to company growth efforts, impacting revenue and other key business outcomes Advanced understanding of Python and the machine learning ecosystem in Python (Numpy, Pandas, Scikit-learn, LightGBM, PyTorch) Knowledge of SQL and experience with relational databases Agile, action-oriente Nice to have Experience working in cloud platforms (AWS, GCP, Microsoft Azure) Relevant knowledge or More ❯

Essential skills/experience: Proven track record of delivering commercial value using supervised machine learning techniques. Advanced Python programmer, and experience with data manipulation and analysis libraries (e.g., NumPy, Pandas, scikit-learn) Advanced knowledge of data science technologies including tooling and platforms. Proficient in SQL and Git. Ability to drive projects from initiation to completion. Keen interest in emerging Machine More ❯

deploy databases and data stores to support organizational requirements. Skills/Qualifications: 4+ years of experience developing data pipelines and data warehousing solutions using Python and libraries such as Pandas, NumPy, PySpark, etc. 3+ years hands-on experience with cloud services, especially Databricks, for building and managing scalable data pipelines 3+ years of proficiency in working with Snowflake or similar More ❯

cutting-edge quantitative tools and infrastructure used by our front-office traders and quants. Requirements Responsibilities: Design, develop, and implement quantitative applications using Python, leveraging libraries such as NumPy, Pandas, SciPy, and others. Partner with quants and traders to understand their needs and translate them into efficient and robust software solutions. Develop and maintain test frameworks to ensure the quality More ❯

a quantitative emphasis in mathematics, engineering, or computer science. Minimum of 5 years of experience in Python development, with a strong understanding of object-oriented programming principles. Experience with pandas, numpy, matplotlib, scipy, and web frameworks like Flask or FastAPI is a plus. Good understanding of relational databases such as Oracle and MS SQL Server. Previous experience in front-office More ❯

apply them to real-world use cases Contribute to code reviews, testing, and documentation Required Skills & Experience Strong proficiency in Python and its AI/ML ecosystem (e.g., NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow) Experience with machine learning model development , training, and deployment Familiarity with LLMs , NLP , or computer vision techniques Solid understanding of software engineering principles and version control More ❯

and risk analysis projects. Drive innovation and resource efficiency, contributing to the continuous development of their consulting offering and analytical capabilities as the company grows. Skills & Experience Python (incl. pandas, numpy, fastapi, dash/plotly) Database development: e.g. SQL, PostgreSQL, SQLAlchemy, data warehousing, ETL pipelines Cloud computing & DevOps: e.g. AWS (EC2, Lambda, S3), Docker, CI/CD, serverless architecture Frontend More ❯

writing testable, modular code. Strong understanding of data structures, data modeling, and software architecture Data Science Library Knowledge: Deep understanding of key Data Science and Machine Learning libraries (e.g., pandas, NumPy, scikit-learn, TensorFlow), with a preference for PySpark experience Model Productionisation: Experience in taking Machine Learning models from development to production CI/CD and MLOps Experience : Familiarity with More ❯

with LLM application design and deployment. Strong software engineering skills, including version control (Git), code reviews, and unit testing. Familiarity with common data science libraries and tools (e.g., NumPy, Pandas, Scikit-learn, Jupyter). Experience in setting up and managing continuous integration and continuous deployment pipelines. Proficiency with containerization technologies (e.g., Docker, Kubernetes). Experience with cloud services (e.g., AWS More ❯

senior client stakeholders Tech Stack You'll Work With BI Tools : Power BI, Tableau, Looker, Google Data Studio Data Warehousing : Snowflake, BigQuery, Redshift, SQL Server Languages : SQL, DAX, Python (Pandas, NumPy, Scikit-learn - desirable) CRM Systems : Salesforce, HubSpot, Dynamics 365, Zoho ETL Tools : dbt, Fivetran, Talend, Alteryx AI/ML Frameworks (Desirable): Azure ML, AWS Sagemaker, HuggingFace, OpenAI APIs Version More ❯