26 to 44 of 44 SciPy Jobs in the UK

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 working with ...

verbal) Risk and control-oriented mindset: ability to ask incisive questions, assess materiality of model issues, and escalation issues appropriately. Proficiency in Python (NumPy, SciPy, Pandas, etc). Curious, ownership-driven, and teamwork-oriented mindset. Preferred qualifications, capabilities and skills Prior model validation or front-office quant experience in pricing ...

environmental data analysis. Excellent analytical skills with the ability to interpret complex real-world datasets. Strong Python skills for scientific analysis (NumPy, Pandas, SciPy or similar). Experience communicating technical findings to both technical and non-technical audiences. Ability to work collaboratively across software, engineering and scientific teams. Desirable 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 ...

verbal) Risk and control-oriented mindset: ability to ask incisive questions, assess materiality of model issues, and escalation issues appropriately. Proficiency in Python (NumPy, SciPy, Pandas, etc). Curious, ownership-driven, and teamwork-oriented mindset. Preferred qualifications, capabilities and skills Prior model validation or front-office quant experience in pricing ...

working with classified information. Expert knowledge of numerical methods, optimisation, and statistical analysis within a defence context Proficiency in mathematical programming using Python (NumPy, SciPy), FORTRAN, or Julia. Familiarity with simulation tools and synthetic environments used for military training and experimentation. Strong understanding of the trade-offs between model fidelity ...

assumptions behind frequentist statsProficient in using a statistical scripting language and data science/ML packages (e.g. python such as pandas, sklearn, statsmodels, scipy or R such as dplyr, caret, stats)Well-versed in summarising, visualising and communicating findings in an accessible and compelling wayTrack record of influencing team direction ...

curiosity and analytical rigour.Strong collaboration and communication skills in a research-driven environment.Deep familiarity with the Python numerical and data stack (NumPy, pandas, SciPy, scikit-learn, and modern columnar tooling such as Polars or DuckDB).Hands-on experience with agent frameworks, LLM APIs, and the design of evaluation harnesses ...

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; fluent English ...

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, causal inference ...

including interpolation and calibration* Excellent programming skills in Python and/or C++, with strong experience using scientific and numerical libraries such as NumPy, SciPy and pandas* Familiarity with model-validation processes, model documentation, model-risk governance and relevant regulatory expectations* Strong written and verbal communication skills, with the ability ...

options pricing or financial services • Knowledge of extreme statistics • Proficiency in Python and associated Data Science libraries and tools (pandas, numpy, seaborn, matplotlib, scipy) My client is based in the City of London but this is a Remote Role. ...

experience (5+ years) Working knowledge of C++ or C# programming (C++ preferred) Familiarity with scientific programming and common Python libraries such as NumPy and SciPy Comfortable writing software tools that run across Windows and Linux end-user machines 5+ years of demonstrable industry experience developing robust engineering, manufacturing, or scientific ...

cross-asset correlation mechanics across equities, rates, FX, and commodities* Advanced programming and quantitative development skills, with demonstrable proficiency in Python (NumPy, Pandas, SciPy, API frameworks such as FastAPI/Flask) and VBA/Excel for rapid prototyping, automation, and analytics; working knowledge of C++, SQL, or other quantitative development ...

full-stack developer you will have some demonstrable experience in front-end technologies (HTML5, CSS3, Javascript/AngularJS)You 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 be joining ...

practices such as agile development/scrum/kanbaDatabase design (both relational and non-relational) and performance optimization experienceYou 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 be joining ...

bioinformatics, computer science, or a related discipline), or equivalent professional experience in research software engineering 2. Strong proficiency in Python, including experience with NumPy, SciPy, and the scientific Python ecosystem 3. Demonstrable experience with software engineering best practices: version control (Git/GitHub), continuous integration/continuous deployment (CI/ ...

optics, photonics or similarly technical laboratory environment Experience analysing real-world experimental data using Python Familiarity with scientific Python libraries such as NumPy, SciPy or pandas A practical understanding of experimental uncertainty, noisy data and measurement quality Strong fault-finding and troubleshooting skills The ability to work independently while collaborating ...

range of topics related to general high performance computing such as multi-threading, networking, profiling and optimisation. Experience working with the NumPy/SciPy stack is essential, as is experience with tools like C++, Numba etc for performance optimisation. Knowledge of common ML algorithms & techniques is a plus, although … approach to tackling problems and designing solutions Experience with: Python programming Proficient in C/C++ on modern architectures Experience with the NumPy/SciPy stack Working with Linux platforms with knowledge of various scripting languages Strong general high performance computing: Multi threading Profiling Python/C/C++ ...