276 to 300 of 440 Permanent NumPy Jobs

Python development. Responsibilities include building backend applications, data processing pipelines, and collaborating with financial teams. Proficiencies in SQL, leveraging libraries like Pandas and NumPy, and RESTful API development are essential. The role promises a dynamic environment in investment banking within a collaborative setting. #J-18808-Ljbffr ...

Experience developing forecasting or predictive models using machine learning techniques. Strong Python programming skills and experience with common data science libraries such as Pandas, NumPy and Scikit-learn. A solid understanding of statistics, time-series analysis and predictive modelling. #J-18808-Ljbffr ...

Physics, Engineering, or a related field. Programming Proficiency: Strong programming skills in Python and must be comfortable with common dataset libraries e.g. pandas, polars, numpy, duckdb etc. Quantitative Skills: Solid understanding of quantitative finance and statistical methods. Trading Knowledge: Familiarity with the trading process and financial markets. System Design: Experience ...

integrity, and dashboard performance issues Act as a trusted advisor to client stakeholders on data analytics matters Python for data analysis and automation (pandas, numpy, scipy, etc.) Data Engineering Knowledge: Familiarity with ETL processes, data integration tools, and modern data platforms (e.g., Databricks) Communication: Excellent stakeholder management and presentation skills ...

into actionable insight Apply statistics, hypothesis testing, and experimental design in product environments Advanced SQL skills and strong experience with Python, including pandas and NumPy, for large-scale data analysis Proven experience leading A/B testing programmes and influencing product decisions through experimentation Significant experience analysing customer behaviour within ...

/CeleryGood knowledge of RDBMS (Postgres) & NoSQL (Elasticsearch)Good understanding of RESTful APIsGood knowledge of software version control with gitYou will gain exposure to NumPy, SciPy, pandas, IPython and other Python libraries with ability to source, clean and manipulate large data sets as well as google mapping. You will ...

Proven experience building and deploying ML models in production Solid understanding of: Churn modelling Propensity modelling Behavioural data analysis Strong Python skills (e.g. Pandas, NumPy, ML libraries) Experience working with real-world, messy datasets Ability to work autonomously in a fast-paced environment Nice to have: Experience in mobile apps ...

detail Comfortable in profiling tools like Nsight or PyTorch Profiler, and monitoring stacks like Prometheus and Grafana Python for data work, Pandas and NumPy, plus general scripting Nice to have rather than essential: a postgraduate degree and research background (publications welcome), real depth on inference serving frameworks like vLLM ...

Solid understanding of fundamentals of statistics, optimization and ML theory. Familiarity with popular deep learning architectures (transformers, CNN, autoencoders etc.) Extensive experience with pytorch, numpy, pandas Hands‐on experience in implementing distributed/multi-threaded/scalable applications (incl. frameworks such as Ray, Horovod, DeepSpeed, etc.) Able to communicate technical ...

degree/background in a quantitative field (Math, Statistics, CS, Physics, Engineering, Financial Engineering) Strong proficiency in Python, including standard data science libraries (pandas, NumPy, etc.) Genuine interest in financial markets and market microstructure — you follow markets, not just models Solid foundation in statistics and quantitative analysis Strong problem-solving ...

relevant properties, characterisation techniques, and substance or material selection processes. Proficiency in data analysis and programming languages such as Python (with libraries like Pandas, NumPy, Scikit-learn), R, or similar. Experience with database management systems (SQL or NoSQL).Familiarity with scientific databases and ontologies (e.g., Materials Project, ChEMBL, PubChem ...

learn from and contribute to the body of knowledge. Key Skills Experience using Python and SQL. Strong proficiency with data manipulation including packages like NumPy, Pandas. Knowledge of machine learning techniques and their respective pros and cons. Confident communicator and contributes effectively within a team environment. Self driven and willing ...

hypothesis testing and experimental design, with the ability to apply these in real-world product environmentsAdvanced SQL skills and strong experience with Python (pandas, NumPy) for large-scale data analysisProven experience leading A/B testing programmes and influencing product decisions through experimentationSignificant experience analysing customer behaviour within digital products ...

compliance/Financial Services/regulated environment preferred Highly motivated to learn about Fundment’s products Technical Expertise: Python: FastAPI, Pydantic, SQLAlchemy, PyTest, Pandas, Numpy Cloud: Experience supporting production systems Security & Compliance: Familiar with secure coding and regulated environments Values Collaborative – Deliver as a team, communicate clearly, and prioritise collective ...

impact on product and commercial outcomes. Advanced SQL — comfortable writing performant queries against large, complex datasets; window functions, CTEs, query optimisation. Strong Python — pandas, numpy, scipy, statsmodels (or equivalent); able to build analysis pipelines, not just notebooks. Solid applied statistics — experimental design, hypothesis testing, sample sizing, multiple testing correction, regression ...

environments from the ground up. Deep knowledge of cryptocurrency market structure, DeFi protocols and on‐chain data. Familiarity with data analysis libraries (e.g., Pandas, NumPy, SciPy) and machine learning concepts. Experience working with large‐scale time‐series data and databases (e.g., KDB+, InfluxDB, TimescaleDB). Experience in a performance‐sensitive ...

environments from the ground up. Deep knowledge of cryptocurrency market structure, DeFi protocols and on-chain data. Familiarity with data analysis libraries (e.g., Pandas, NumPy, SciPy) and machine learning concepts. Experience working with large-scale time-series data and databases (e.g., KDB+, InfluxDB, TimescaleDB).Experience in a performance-sensitive ...

developing machine learning models in a cloud environmentProficiency in Python to write, test and debug code using common libraries (ie numpy, pandas)Nice to haves: Strong knowledge of software engineering best practicesHave built applications taking advantage of Generative AI in real, production use casesFamiliarity with state of the art LLMs ...

developing machine learning models in a cloud environment Proficiency in Python to write, test and debug code using common libraries (ie numpy, pandas) Nice to haves: Strong knowledge of software engineering best practices Have built applications taking advantage of Generative AI in real, production use cases Familiarity with state ...

communicate effectively with team members in diverse fields Strong programming abilities in Python, and extensive experience with the scientific and machine-learning stack: Numpy, Torch/Tensorflow/Jax, Scikit-learn, Polars, SQL Expertise with deep learning approaches such as diffusion or flow matching Proficiency in modern software development practices ...

Experience developing and applying deep learning or AI/ML methods to complex scientific datasets. Strong programming and scientific computing skills in Python (e.g. numpy, pandas, PyTorch and/or JAX). Experience analysing complex biological, imaging or spatial datasets, or strong evidence of rapidly adapting to new data domains. ...

seeking a Core Python Developer to design, develop, and maintain Python scripts for data processing and transformation. You will work with Pandas and NumPy to analyze data, handle various file formats, and collaborate with analysts and engineers to meet project requirements. The role emphasizes building efficient algorithms, performing unit ...

fulltime basis (with some flexibility). About you: You have strong backend software engineering experience with Python, including Python libraries such as PyTorch, NumPy You have experience working with asynchronous, parallel or distributed systems You have a good knowledge of at least one relational database e.g. SQL Server, Oracle ...

Practical exposure to bond pricing, stochastic volatility modelling and Monte Carlo simulations. Proficient in time‐series analysis, econometrics and factor‐based modelling. Advanced Python (numpy, pandas) with production deployment experience. C++ highly valued; SQL proficiency; MS Office with VBA a plus. Clear communicator able to explain complex ideas ...

Entity Framework Core PostgreSQL, MySQL, or other relational database experience AWS or other cloud technologies Machine learning, optimisation, or algorithm development experience Experience with NumPy, Pandas, SciPy, or similar Python libraries Logistics, route planning, or operational research experience Package Up to £60,000 base salary Up to 10% bonus Hybrid ...