76 to 100 of 156 Permanent NumPy Jobs

you...Have an advanced degree in Computer Science, Mathematics, Statistics or a similar quantitative disciplineAre proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.)Have experience productionising machine learning models and/or AI solutionsAre an expert in one of predictive modelling, classification, regression, optimisation ...

data pipelines. Qualifications & Skills Experience: 3+ years of professional experience in data science, predictive analytics, or statistical modeling. Programming: Advanced proficiency in Python (Pandas, NumPy, Scikit-Learn, SciPy) or R. Database & SQL: Strong mastery of complex SQL queries, data warehousing, and data extraction. Mathematics & Statistics: Solid grounding in statistical inference ...

emerging AI technologies and identify opportunities to improve business efficiency through intelligent automation.Skills & ExperienceStrong Python programming skills with experience using libraries such as Pandas, NumPy, Scikit-learn, XGBoost or LightGBM, and Plotly, Rust, Typescript, Python or Matplotlib.Experience developing machine learning models for prediction, optimisation or classification.Strong SQL skills and experience ...

problems. Experience in managing data and implementing data science processes. Experience in translating customer requirements intotechnical requirements and development objectives. Pythonexpertisecovering standard data sciencelibraries (NumPy, pandas, matplotlib, Scikit-learn,PyTorch, etc),web frameworks (Flask or FastAPI) and visualisation(Dash,Plotly,&Streamlit). Proficient inSQL. Working with unstructured data Building customer ...

degree in Data Science, Computer Science, Statistics, Mathematics, or a related discipline.Strong proficiency in Python or R, including libraries such as pandas, scikit‐learn, NumPy, TensorFlow, or PyTorch.Solid understanding of statistical analysis, hypothesis testing, and experimental design.Hands‐on experience applying a range of supervised and unsupervised machine learning techniques (e.g. ...

loop review.Strong programming and data skills, including Python, SQL, and tools/libraries used in agentic development like langgraph, langchain, Pydantic models, NumPy, FastAPI/MCP, etc.Ability to work with APIs, JSON, MCPs, Git or version-controlled artifacts, and lightweight automation or prototyping workflows.Excellent written and verbal communication skills, with ...

area such as predictive modelling, classification, regression, optimisation or recommendation systemsStrong proficiency in Python and open-source data libraries such as Pandas, NumPy and Scikit-learnA solid grounding in statistical methodologies, along with data extraction, manipulation and feature engineering techniquesExperience with Spark, agile delivery methods and CI/CD practicesFamiliarity ...

secure use of data and AIRequired Skills:Experience in data science, machine learning, or applied analyticsStrong proficiency in Python and common ML libraries (pandas, NumPy, scikit‐learn, TensorFlow, PyTorch)Experience designing, training, and evaluating machine‐learning modelsSolid understanding of statistical methods, predictive modelling, and experimental designExperience working with large ...

tech stack include Django Erlang REST Framework, PostgreSQL, PostGIS, AWS, ES6, React.js, Alt.js, Node.js, Express, Amazon Redshift, Kubernetes, Docker, Redis, Celery, Pandas, Numpy, Scrapy, Git with Zenhub, Jenkins, Elasticsearch, Logstash and lots of raw SQL for analytics.Python Developers Must Ideally Have: Computer Science or Engineering degree. Previous commercial experience ...

ForProven experience leading the delivery of data science or AI projects from concept to production.Strong knowledge of Python and core ML libraries (e.g., spaCy, NumPy, SciPy, Transformers).Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP).Deep expertise in MLOps principles, scalable model deployment, model governance ...

adjacent techniques to solve real-world problems in industry or academiaStrong Python programming skills and deep familiarity with the Python ecosystem (i.e. pandas, numpy, scikit-learn, pytorch, pip, pytest)Demonstrated ability to lead technical teams and initiatives with strong communication and stakeholder management skillsPreferred qualifications, capabilities, and skills: Experience applying ...

Experience5+ years of hands‐on kdb+ development experience.Strong expertise in kdb+/q and Python.Proficiency with modern data science toolchains, including Jupyter, pandas, NumPy, scikit‐learn, with applied machine‐learning experience.Solid understanding of parallel computing frameworks such as Slurm or equivalent technologies.Strong background in quantitative analysis, including mathematical modelling, statistics ...

without:Client stakeholder engagementApplied data science expertiseMachine learning and AI deliveryGenerative AI/LLM experienceStrong Python skills and familiarity with core libraries (pandas, NumPy, scikit‐learn)Deep learning and NLP stacks (PyTorch, HuggingFace Transformers)MLOps and model operationalisationResponsible AI awarenessAdditional Requirements:Security clearance (SC/BPSS)Pre‐sales contribution experienceFamiliarity ...

structured, semi-structured, or unstructured data, especially large-scale text or content datasets.Familiarity with common data science and machine learning tools such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, or Matplotlib.The ability to translate complex and ambiguous requirements into practical, measurable, data-driven solutions, with strong analytical thinking, problem ...

improve reliability and speed of accessing our wide data ecosystem. We run a variety of time consuming ETL tasks using libraries such as (NumPy, Scikit-learn, Pandas), and view/tables from a variety of relational databases. The aim is to integrate and transition all to a single data warehouse ...

roles, not just in theory We're looking for: Strong hands-on AI/ML and Data Science expertise (Python essential — NumPy, Pandas, Scikit-learn; exposure to PyTorch, TensorFlow, LangGraph or similar a plus) Proven experience delivering technical training to a mix of technical and non-technical audiences, virtually ...

solve business problemsProven experience in translating technical methods to non-technical stakeholdersStrong programming experience in Python and the relevant analytics libraries (e.g., pandas, numpy, matplotlib, scikit-learn, statsmodels, pymc, pytorch/tf/keras, langchain). R and C++ optional.Experience with version control (GitHub)ML experience with causality, Bayesian statistics ...

research outputsExcellent English and strong presentation skillsExperience 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 businessQuantitative research methods (especially surveys and experiments) Media and conversation analysisExpertise in:Natural language processing including ...

customer-facing productsExperience in travel, transport, marketplaces, or similarly complex digital platformsOur technology stack Python and associated ML/DS libraries (scikit-learn, NumPy, LightGBM, Pandas, LangChain/LangGraph, TensorFlow, etc.)PySparkAWS cloud infrastructure: EMR, ECS, Athena, etcMLOps/DevOps: Terraform, Docker, Airflow, MLFlowMonitoring and evaluation platforms including New Relic ...

architectures, plus familiarity with MCP and A2A communication frameworks.Proficiency in Python (or equivalent programming language) and associated common data science libraries (such as NumPy, Pandas, SciPy etc for Python).Proficient in using AI tools and platforms for model development, deployment, and monitoring (such as Github Co-pilot, Databricks, MLFlow ...

Python and fluency with the modern AI and data science tooling, including frameworks for building with large language models alongside libraries such as pandas, NumPy and scikit-learn.Strong mathematical and statistical foundations, including probability, statistics, linear algebra and optimization, and the ability to reason rigorously about uncertainty, error and model ...

predictive modelling, forecasting and/or optimisation - with strong command of the underlying statistical principlesStrong proficiency in Python and core ML libraries (e.g., NumPy, Pandas, Scikit-Learn, xgboost, shap)Advanced working knowledge of SQLHands-on experience with data pipelines and ML infrastructureExperience working within AWS (ideally using Sagemaker) and/ ...

data so you will need to understand how to develop your own modelsStrong programming skills and experience working with Python, Scikit-Learn, SciPy, NumPy, Pandas and Jupyter Notebooks is desirable. Experience with object-oriented programming is beneficialPublications at top conferences, such as NeurIPS, ICML or ICLR, is highly desirableWhy should ...

governance, and accessibility across platformsTranslating complex technical outputs into clear insights for non-technical audiencesWho we’re looking for:Strong Python experience including Pandas, NumPy or similar data analysis librariesAdvanced SQL skills with experience working across relational databasesExperience building data pipelines, working with cloud platforms, and integrating APIsSolid understanding ...

experience, or an MS with significant industry or research experience in the fieldExtensive 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 ...