51 to 74 of 74 Pandas Jobs in London

infrastructure and tooling stack What They’re Looking For 4+ years experience in machine learning, data science, or AI engineering Strong Python skills (NumPy, Pandas, PyTorch/TensorFlow) Experience working with biological or biomedical data (industry or academia) Solid understanding of ML fundamentals (supervised/unsupervised learning, model evaluation, etc. ...

within a product or operational environment, with demonstrable impact on decision-making Advanced hands-on experience with data processing and analysis tools (SQL, Python, Pandas, etc), with a bias towards exploration, insight and explanation Proven ability to understand legacy datasets/pipelines and to evaluate their fitness ...

Strong software engineering fundamentals including OOP, clean code, automated testing, CI/CD and observability. Fluent in python and the python data ecosystem (e.g. pandas). Experience building large and complex data pipelines in regulated or high-integrity environments. Solid fundamentals in data modelling, SQL and database design. Ability ...

toolsets for API development. Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network ...

Mathematics/Computer Science Academic background 3-5 years of experience with Python (writing and managing code releases) Familiarity with numerical Python libraries, e.g. Pandas, Numpy Firm understanding of version control, testing, and continuous integration Understanding and appreciation for best practices Experience working with SQL databases and Sqlalchemy desired ...

into clear, impactful narratives for stakeholders What we're looking for: Strong SQL skills (essential) with experience working on large datasets Solid Python experience (pandas, NumPy) for data analysis Strong understanding of A/B testing and experimentation concepts Experience with BI tools (Tableau, Looker, or similar) Ability to work ...

into clear, impactful narratives for stakeholders What we're looking for: Strong SQL skills (essential) with experience working on large datasets Solid Python experience (pandas, NumPy) for data analysis Strong understanding of A/B testing and experimentation concepts Experience with BI tools (Tableau, Looker, or similar) Ability to work ...

understanding of typologies and how they translate into detection logic Strong SQL. Complex queries, large datasets, no hand-holding Python for analysis and modelling (pandas, numpy; ML exposure expected) Experience building, tuning, or deploying detection systems (rules and/or models) Ability to think about systems end-to-end. ...

model. Familiarity with Python and the packages widely used in data science and machine learning. Developers should be familiar with libraries like NumPy, pandas, scikit-learn, TensorFlow, and PyTorch. Familiarity with best practice in Machine Learning workflows and MLOps tools. Fluency in validation and evaluation framework and metrics frameworks ...

translate business problems into data-driven insights ⭐ Desirable: Fintech/payments/FX experience Exposure to financial metrics (revenue, forecasting, unit economics) Python experience (pandas, automation) Experience working in fast-paced or startup environments 💰 Salary: £70,000 – £80,000 + equity + benefits 📍 Location: London (Hybrid – 3 days in office ...

real-world needs into product improvements What They’re Looking For: Degree in Computer Science, Physics, Bioengineering, or similar Strong Python skills (NumPy, SciPy, Pandas, etc.) Experience working with hardware or lab-based systems (or similar environments) Experience with GUI development (or a strong interest in learning) Solid understanding ...

Postgres, REST APIs, SFTP, Websockets OOP + Asynchronous Design Patterns PowerQuery/DAX/M Industry standard libraries used in software development within finance (pandas, numpy, scipy etc) MS Graph * Experience with the following technologies is nice to have: NodeJS Grafana VBA OpenAI API Cross OS file shares Profile ...

compliance, clean code, unit testing, and version control (Git, Unix, pytest). Experience retrieving data from structured, unstructured and web sources (Selenium/PlayWright, Pandas, XML etc) Must have experience building data engineering pipelines in Azure Experience in Azure including Azure Fabric, Data Factory and Azure integrated services such ...

This opportunity is hybrid with 3 days a week on site required) To be considered for this position: Essential : Hardware Integration, Python (NumPy, SciPy, Pandas, Matplotlib, Sklearn, PyTorch), Desirable : GUI (Tkinter, PySide), C++, Life Science experience (Optics, Lenses etc.) Responsibilities/Requirements • Develop and maintain Python-based software for scientific ...

models. Optimize models for performance, scalability, and accuracy. Qualifications: Deep knowledge of neural networks (CNNs, RNNs, LSTMs, Transformers). Strong experience with data tools (Pandas, NumPy, Apache Spark). Solid understanding of NLP algorithms. Experience integrating ML models via RESTful APIs. Familiarity with CI/CD pipelines and deployment automation. ...

with RPA and workflow automation tools (e.g. Power Automate, UiPath). Practical experience developing and deploying machine learning models in Python (e.g. scikit-learn, pandas). Experience working with APIs and integrating systems across business platforms. Strong analytical thinking and problem-solving skills with the ability to translate complex data ...

handle data, spot inconsistencies, and perform basic analyses. Expertise in Excel, and familiarity with other tools such as SQL, R and/or Pandas (Python), is required. Advanced statistical modelling or data science is not required. Experience with regulated industries or tech/finance companies: Having worked in or with ...

supporting the development of a new AI-driven underwriting platform being built in partnership with a software provider. You’ll work extensively with Python (pandas, numpy) and SQL, transforming unstructured data into structured, decision-ready insights, and helping integrate broker data via API. The team is small and high-impact. ...

Python, including use of NumPy and other scientific libraries. A passion for working with data/dataframes and solving data-related challenges. Strong Pandas experience is required. Minimum bachelors degree in a STEM subject at a reputable academic institution. A desire to work closely with Researchers and accelerate their research. ...

both technical and non-technical stakeholders, including coaches, scouts, analysts, and traders. Skills & Attributes Strong background in Python, with experience in data manipulation (Pandas/Polars) and statistical modelling. Industry experience in a data science role focussing on sports analytics. Knowledge of advanced football metrics (possession value models highly desirable ...

reporting layer design Experience analysing sales, campaign, and market share data Ability to communicate insights clearly to non-technical stakeholders Nice to Have Python (pandas) Wider GCP experience Experience with GfK or similar syndicated market data Background in retail, consumer, or e-commerce environments ...

context) Must-have Strong analytical & problem-solving skills: Able to decompose messy, real-world problems and craft tailored solutions. Proficient in Python & data science: pandas/Polars, NumPy, scikit-learn, Jupyter, Plotly (or similar) Confident with data cleaning, analysis, transformation, and visualisation. Excellent communication: Advanced written and spoken English; concise … Actions), SQL/Postgres. TypeScript fluency: Able to read TS and collaborate on data contracts with the Command team. Our environment Python, Polars/pandas, NumPy, scikit-learn, Plotly, SQL/Postgres, NVIDIA cuOpt, HERE APIs, AWS (S3, ECS/Lambda, SNS/SQS), Docker, GitHub Actions, TypeScript/Node ...

Career Progression What the role entails: Some of the main duties of the Data Engineer will include: Develop high-performance data pipelines using Python (Pandas) or Spark within Palantir Foundry, ensuring seamless data transformation and integration to support analytics, reporting, and machine learning use cases across the enterprise. Design … Palantir Foundry, leveraging tools such as Foundry Code Workbooks, Pipelines, and Object Explorer for efficient data processing and integration. Strong coding skills in Python (Pandas) and PySpark: Essential experience in using Python (Pandas) and PySpark for data manipulation, transformation, and pipeline development within Palantir Foundry, ensuring high performance and scalability ...

become an SME in what cryptocurrency insights Trading and Investment businesses are interested in, to feed into product development Using SQL and Python (Pandas) to pull and analyse Digital Assets and Cryptocurrency market data from different sources To be a successful applicant, you will need: 3+ years commercial experience working … write engaging and thought-provoking research publications from financial asset insights (ideally digital assets) Strong data manipulation and analytical experience with SQL and Python (Pandas) with a proven ability to derive insights from complex datasets Experience with Layer 1 and Layer 2 architectures as well as on-chain data tools ...