1 to 25 of 37 SciPy Jobs in the UK

/or sequential modelingExcellent communication skills with the ability to communicate concepts clearly and preciselyExperience writing software using: i) Python for data science (numpy, scipy, scikit, pandas; ii) databases; and iii) cloud platform services (AWS, GCP, Azure)NICE TO HAVESExperience as a Data Architect or Senior ManagerProven track record ...

sequential modeling Excellent communication skills with the ability to communicate concepts clearly and precisely Experience writing software using: i) Python for data science (numpy, scipy, scikit, pandas; ii) databases; and iii) cloud platform services (AWS, GCP, Azure) NICE TO HAVES Experience as a Data Architect or Senior Manager Proven track ...

write production-grade code, not just notebooks.Strong Python and SQL (we use Snowflake). Comfortable with the scientific Python stack: Polars, Pandas, NumPy, SciPy, and scikit-learn. Experience developing and evaluating ML models on tabular data — classification or regression tasks where evaluation matters as much as model choice. Think passenger ...

infrastructure, such as: data pre- and post-processing, sampling and curation, ablation studies, evaluation Experience writing software using: i) Python for data science (numpy, scipy, scikit, pandas; ii) database; and iii) cloud platform services (AWS, GCP, Azure) NICE TO HAVES 5+ years experience in data science or related areas 2+ ...

infrastructure, such as: data pre- and post-processing, sampling and curation, ablation studies, evaluationExperience writing software using: i) Python for data science (numpy, scipy, scikit, pandas; ii) database; and iii) cloud platform services (AWS, GCP, Azure)NICE TO HAVES5+ years experience in data science or related areas2+ years tech lead ...

computing (on hyper-scaler platforms, e.g., AWS, Azure, GCP); 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; C/C++ for computer vision, geometry processing, or scientific computing; software engineering concepts and best practices ...

equivalent industry experience. Strong proficiency in relevant programming languages (Python – essential; C++ – preferred; SQL – exposure), tools and technologies (Pytorch or Tensorflow – essential; Opencv, Scipy, Pandas, or equivalent libraries for image processing and data science - essential; MS Azure Synapse – exposure) used in the development of machine learning, image analysis and software ...

with any further professional qualifications being welcome.Strong programming skills in Python and SQL. Experience and exposure to data analytics libraries such as numpy, pandas, scipy, cvxpy. Experience with queries and familiarity with stored procedures. Familiarity with code version control tools such as GIT or similar, and ideally experience with APIs ...

proprietary research platform to support new exchanges, products and functionality.Python Developers Must Have:Expert in writing production level Python code including numpy, pandas, scipy, statsmodels etc (Python packages for numerical and statistical analysis)Able to take high level requirements and lead with constructing the engineering concept to underpin that projectExperienced ...

Quantitative Finance, Mathematics, Physics, Engineering, Computer Science, or a related STEM discipline•Strong understanding of data fundamentals and their python implementations (numpy, polars, scipy)•Strong knowledge of AI/ML techniques with experience delivering related work into production•You’re curious to explore how AI can improve how we build ...

work experiencePreferred qualification - Experience using managed ML/AI solutions- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.- Experience with large scale distributed systems such as Hadoop, Spark etc.Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce ...

data, including querying, aggregation, analysis, and visualization* Strong competencies in Python for data analysis using the python data science libraries (Pandas/NumPy/SciPy/Scikit-learn).* Strong SQL skills for data retrieval, basic analysis, and data cleansing.* Strong knowledge and application of object-oriented design and software ...

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 ...

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 ...

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 ...

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

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 ...

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-solving ...

interpolation, seasonality adjustments, and calibration techniquesExcellent programming skills in Python and/or C++ are essential, with deep experience in numerical libraries (e.g., NumPy, SciPy, pandas)Familiarity with model validation processes, model documentation, and regulatory requirements relating to model riskExperience with automated testing, CI/CD pipelines, and version control ...

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 etc).Understanding ...

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 ...

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 be joining ...

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 ...

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 ...

latest industry trends and advancements in data science and analytics Proficiency in SQL & R/Python, including understanding of packages such as pandas, numpy, scipy & matplotlib. Strong understanding of what data points can be collected and analysed in a digital campaign, and how each data point should be analysed. Including ...