101 to 125 of 147 Pandas Jobs in England

with significant industry or research experience in the field Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals Hands ...

outputs* Excellent English and strong presentation skills* Experience with Microsoft PowerPoint and ExcelPreferred Qualifications* Programming skills in Python including data science libraries such as pandas, numpy or plotlyWork experience in:* Consulting or a client-facing business* Quantitative research methods (especially surveys and experiments)* Media and conversation analysisExpertise in:* Natural language ...

anticipate and communicate future challenges, ensuring operational effectiveness. Skills and Experience: Essential: Full-stack Python Software Developer skills, specialising in numerical processing using Pandas, Numpy, Polars, PySpark, Coroutines, async tasks and Unix Building scalable applications, with intensive risk-based processing. Package software for distribution (eg Docker, Poetry, python-wheels, PyInstaller ...

Substantial experience with joining, analysing, manipulating commercial and regulatory data for visualisation (Tableau) and apps Demonstrable experience in utilising data analytics tools and libraries (Pandas, PySpark, etc) Understanding of financial markets Experience in applying machine learning techniques to market data Experienced in developing user-friendly analytical products, e.g self-service ...

projects and have outstanding communication skills with both financial and technical people. Skills and Experience Required 3-8 years' experience, ideally developing with Python (pandas/numpy) Solid analytical problem-solving skills React/Angular experience developing web frontends Working knowledge of SQL and other database technologies. Desirable Experience/ ...

databases. Experience with vector databases such as Qdrant, Milvus or pgvector . Familiarity with technologies such as Apache Spark, Airflow, Kafka, Elasticsearch/OpenSearch, Pandas and Polars . Strong understanding of data modelling, storage architecture and performance optimisation. Desirable Experience working on AI or Machine Learning platforms. Knowledge of cloud ...

engineering experience Passion for AI and eagerness to work at the forefront of technological innovation Proficiency with relevant Python libraries for data analysis (e.g. pandas) and key AI APIs (e.g. OpenAI) Familiarity with cloud infrastructure, orchestration and monitoring tools Experience with visualizing and presenting data Strong problem-solving skills ...

like operations Understanding of machine learning techniques such as regularised regression, clustering or tree-based ensembles (and experience applying them with packages like Pandas, sci-kit-learn, SciPy) is highly beneficial Experience processing big data, ideally in a Hadoop/Spark environment, would be beneficial Proven experience implementing CI/ ...

like operations Understanding of machine learning techniques such as regularised regression, clustering or tree-based ensembles (and experience applying them with packages like Pandas, sci-kit-learn, SciPy) is highly beneficial Experience processing big data, ideally in a Hadoop/Spark environment, would be beneficial Proven experience implementing CI/ ...

intensive applications in production, with a track record of leading technical initiatives from conception to deployment. Expert-level Python and its data ecosystem (Numpy, Pandas), including designing frameworks for data tasks. Deep understanding of distributed data processing engines like Apache Spark. Ability to reason about the full data lifecycle from ...

building bespoke dashboards for end users. Plotly or Dash highly desired - Good commercial experience with data visualisation tools and techniques - Solid working experience with Pandas or NumPy - Excellent SQL abilities Nice to have: - Javascript/web experience (React or Typescript) - Flask - Cloud computing experience (AWS preferred) - Prior experience working ...

larger scale work. Create new features using additional database (KDB preferred). Preferred Technical Skills Proficient in modern data science tools stacks (Jupyter, pandas, numpy, sklearn) with machine learning experience. Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or related STEM field from top ranked University. Expert ...

live production environments. We're looking for individuals with: Experience: Proven background as a Machine Learning Engineer. Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib). Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex AI (developing ML services). ...

Microsoft Excel, including data manipulation, formulas, pivot tables, and basic reporting. Familiarity with Python for data processing and analysis. Experience with libraries such as Pandas, NumPy, Matplotlib, or similar tools would be an advantage. Basic understanding of databases and data management principles. Experience with Microsoft Access, SQL, or other database ...

deep learning, reinforcement learning, or predictive modeling to solve problems involving complex data patterns and market dynamics. Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.). Ability to communicate and interact with a wide range of users, from highly technical to non‐technical backgrounds. Strong analytical skills with ...

limitations in language each audience trusts. Essential Strong applied proficiency in Python and/or R, including modern data and ML libraries (e.g. pandas, scikit-learn, statsmodels or equivalents) and time-series/statistical forecasting methods. • A track record of owning an analytical product end to end – from data acquisition ...

Looking For? The ideal candidate will have the following skills and experience: Strong SQL skills Strong Python skills for dataframe analytics using pandas or polars Confident use of AI coding assistants with sound judgment and validation Financial markets domain knowledge A collaborative approach to working with stakeholders An automation-first ...

awareness of modern approaches such as natural language processing and deep learning Strong Python skills and experience with common libraries such as Pandas, scikit-learn and Jupyter Experience working with SQL and data pipelines to prepare and transform data for model training Understanding of model evaluation, monitoring and improving performance ...

Scrum based ways‐of‐working. Desirable Experience in the energy sector or with computational modelling/simulation software. Familiarity with scientific computing libraries (NumPy, Pandas) and optimisation frameworks. Experience with generative AI/LLMs in applied engineering contexts. Experience with infrastructure-as-code tools (Terraform, Terragrunt) and GitOps practices. #J ...

awareness of modern approaches such as natural language processing and deep learning Strong Python skills and experience with common libraries such as Pandas, scikit-learn and Jupyter Experience working with SQL and data pipelines to prepare and transform data for model training Understanding of model evaluation, monitoring and improving performance ...

front‐office and risk functions What we’re looking for Strong Python development experience within enterprise environments Excellent SQL and data processing skills, including Pandas/NumPy Experience building APIs and backend services using frameworks such as FastAPI, Flask or Django Previous exposure to trading, risk, PnL or capital markets ...

position or a quantitative academic field. You demonstrate strong programming skills, with the ability to be a fluent Python programmer, using core libraries (NumPy, Pandas) and a deep‐learning framework (e.g., PyTorch). You have a deep expertise in core data science paradigms (supervised/unsupervised, NLP, validation), demonstrating proficiency ...

inference pipelines and APIs, running both on cloud and on-prem environments. The tech stack you will use for this includes: Python, PyTorch, Pandas, fastAPI, Scipy, Kubeflow, among others. Mentor and develop engineers and data scientists; provide technical direction and clear, calm decision‐making under pressure. Travel to customer sites ...

setting (excluding post-doc positions), with exposure to: building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; developing models for bespoke problem settings that involve high-dimensional data (spatiotemporal, geometric, physical); iterating on network architectures ...

ServiceNow), asset management tools, procurement platforms, licence management tools (Snow, Flexera), and infrastructure monitoring (Datadog, Dynatrace, SolarWinds) Data modelling and analytics: SQL, Python/Pandas for cost data analysis; experience building normalisation pipelines and cost allocation engines Dashboard and reporting tools: Power BI, Tableau, Grafana, or custom BI solutions ...