226 to 250 of 440 NumPy Jobs

Skills Strong Python development experience (FastAPI, Pydantic, SQLAlchemy, Pytest). Experience with PostgreSQL, Docker, Git/GitHub, GitHub Actions, and microservices. Knowledge of Pandas, NumPy, OpenTelemetry, and cloud-native development. Strong communication, problem-solving, and stakeholder management skills. Ability to take ownership and thrive in a fast-moving environment. Desirable ...

assets A degree or equivalent experience in mathematics, physics, computer science, engineering, quantitative finance or a related field Nice to have Python experience, particularly NumPy, SciPy or pandas KDB+/Q or another functional programming language AWS, Docker or Kubernetes Java performance tuning, garbage‐collection optimisation or LMAX Disruptor Knowledge ...

mongodb & kafka). Theoretical proficiency in numerical computing, online algorithms, data structures, networking, databases, and operating systems. Familiarity with typical quantitative research toolchains including Numpy, Polars, Scikitlearn, Pytorch, etc. DevOps: version control, testing frameworks, release processes, build systems. Excellent communication, problem-solving, and analytical skills. Preferred Experience Extremely strong computer ...

agent-based workflows and human review. Strong Python and SQL skills. Experience with relevant development tools and libraries, which could include LangChain, LangGraph, Pydantic, NumPy and FastAPI. The ability to work with APIs, JSON, version control and lightweight automation or prototyping tools. The ability to translate operational requirements into clear ...

Practical understanding of machine learning fundamentals (classification, regression, clustering, ranking, NLP, or LLMs). Data & ML Ecosystem: Familiarity with data processing libraries (e.g. Pandas, NumPy) and ML frameworks (e.g. PyTorch, Scikit-learn or XGBoost). Growth Mindset: A genuine interest in distributed system and software design, concurrent algorithms, data structures ...

Terraform or Pulumi) and containerization (Docker and AWS ECS/Kubernetes). Experience with Kafka. Experience working alongside data scientists in the "PyData" ecosystem (Numpy, Pandas) is desirable. Familiarity with some of the other tools in our stack is desirable: Redis Postgres Airflow Spark This is a hybrid role based ...

technical build strategic. What makes a great candidate Strong proficiency in Python and SQL. Comfortable working with modern data‐processing tools (Polars, pandas, numpy) and orchestration/scheduling frameworks (Airflow or equivalent). Strong grounding in production engineering: CI/CD, containerised deployment (Kubernetes/Docker), monitoring, alerting. Excellent problem ...

every tool listed below, but you should have strong experience with most of them or equivalent technologies. Core Languages & Frameworks Python (Flask, SQLAlchemy, NumPy, Pandas) for services and analytics React, Typescript, Redux for the front end Cloud & Infrastructure AWS (ECS, Lambda, RDS, S3) Docker Linux Data, Messaging & Caching MySQL RabbitMQ ...

Proficiency in programming with Java, C++ or another object-oriented language Experience performing data analysis in Python, including proficiency with data science libraries (e.g., NumPy, pandas) and visualisation tools Ability to translate quantitative models into reliable, maintainable production code Effective interpersonal and communication skills; ability to collaborate with traders, quantitative ...

using data 2-5 years experience in data analytics in a consumer-facing business What would be a bonus: Python data science stack (pandas, NumPy, Jupyter notebooks, Plotly/matplotlib, etc.) Familiarity with Git Data visualization tool (Tableau, Looker, PowerBI or equivalent) DBT Why else you'll love it here ...

designed metrics, or run structured model comparisons, and you can talk about where your own metrics misled you - Strong Python for data work (pandas, numpy, notebooks, and the ability to write code other people can run) - Confident with SQL and relational databases - Solid grounding in statistics and experiment design: sampling ...

data analyst or similar role. Strong SQL skills, including complex joins, aggregations and window functions. Proficiency in Python for data analysis (e.g., pandas, NumPy). Hands‐on experience with at least one cloud data platform: Databricks, AWS or Snowflake. Strong analytical and problem‐solving skills, with close attention to detail. ...

data-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 ...

MACCs), project finance (NPV, IRR, payback, discount rates) and carbon pricing (ETS, carbon taxes, internal shadow prices). Expert Python for quantitative modelling (pandas, NumPy), with the discipline to make models reproducible, validated and version-controlled (Git/GitHub). Familiarity with using LLMs and agentic-AI workflows to build ...

drive to solve problems using data 2-5 years experience in data analytics in a consumer-facing business Python data science stack (pandas, NumPy, Jupyter notebooks, Plotly/matplotlib, etc.) Familiarity with Git Data visualization tool (Tableau, Looker, PowerBI or equivalent) DBT #J-18808-Ljbffr ...

Core Python development (6–10 years)**• Strong **SQL skills** with ability to handle complex queries and large datasets• Experience with **Python libraries (Pandas, NumPy)** for data processing• Experience building **RESTful APIs/services (Flask/FastAPI/Django)**• Strong understanding of **data structures and performance optimization**• Experience working with **large ...

experience in a software engineering, quantitative developer, or data engineering role. Experience within the finance industry is a strong plus. Good working knowledge of NumPy and Pandas. Familiarity with backend development and async programming in Python/modern Python frameworks. Experience with containerisation and cloud deployments (Docker, cloud platforms such ...

closely related quantitative sports environment. Proven experience developing models that have been used to price or trade sports markets. Strong Python skills, including NumPy, pandas, SciPy and scikit-learn, plus solid SQL. Hands-on experience with machine learning and neural networks using TensorFlow/Keras or PyTorch. Strong understanding ...

Bayesian non‐parametrics, NLP or approximate inference. Excellent reasoning skills and mathematical ability. Strong programming skills and experience working with Python, Scikit‐Learn, SciPy, NumPy, Pandas and Jupyter Notebooks; experience with object‐oriented programming is beneficial. Publications at top conferences, such as NeurIPS, ICML or ICLR, are highly desirable. ...

evolvesSkills & Experience:• 1-3 years' Data Science experience, or equivalent demonstrated experience through graduate work, projects or competitions• Strong Python skills, particularly pandas and NumPy• Strong SQL skills, including CTEs, window functions and aggregation• A solid understanding of applied statistics, including hypothesis testing and confidence intervals• MMM (Marketing Mix Modelling ...

full-time roles in 2027Experience programming in Python and/or C++Experience with statistical analysis, numerical programming, or machine learning in Python, Pandas/Numpy, R, and/or MATLABA passion for applying quantitative models and technology toward solving real-world problemsBrilliant analytical and problem-solving skillsAbility to work creatively ...

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 ...

background in machine learning and statisticsSolid foundation on data structures and algorithmsProficiency in Python for numerical/statistical programming (our group relies heavily on Numpy/Pandas/Scikit-learn)Ability to interpret and write complex SQL queriesExperience with big data technologies, such as Hive and SparkTrack record of leading ...

program) who is eligible for full-time roles in 2027Fluency in PythonExperience with statistical analysis, numerical programming, or machine learning in Python,Pandas/Numpy, R, and/or MATLABBrilliant analytical and problem-solving skillsAbility to work creatively and independently on long-term technical problemsBase salary ...

with the ability to query, join, and manipulate large and complex datasets Strong working knowledge of Python for data analysis and automation (e.g. pandas, numpy) Ability to understand new datasets quickly and extract meaningful insights. Experience working with large, complex datasets across multiple sources. Proficiency in data visualisation tools (Looker ...