1 to 25 of 32 SciPy Jobs in the UK

concise documentation and analysis. NICE TO HAVE BUT NOT ESSENTIAL Proficient in python’s various data transformation, visualisation and statistics libraries i.e. pandas, numpy , scipy and plotly Experience leading a team or owning a whole product domain PROCESS 1) Screening call with recruiter - 30 mins 2) Take home Case Study ...

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 ...

ensemble methods. Familiarity with rigorous experimentation: online/offline evaluation, data leakage prevention, and model governance. Tech Stack Python, SQL, pandas/numpy/scipy, PyTorch/sklearn Airflow/dbt, Kafka (or equivalents), Postgres/BigQuery Docker, Kubernetes (optional), CI/CD (GitHub Actions) Observability: Prometheus/Grafana, OpenTelemetry ...

modern MLOps tooling (e.g. MLflow, Weights & Biases, DVC, Airflow) Strong experience with Python and associated scientific software packages such as PyTorch, OpenCV, Pandas, SciPy, NumPy, SciKit-learn, etc. Strong software engineering practices including version control, code review, software testing methodologies, and continuous integration; experience with IEC 62304 is particularly desirable ...

Have: 2 years plus of commercial Python and Django development experience Django Rest Framework PostgreSQL Celery Ideally APi DevelopmentYou 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 ...

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 ...

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 ...

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 ...

commercial development experience any language Golang experience, doesn’t have to be commercial PostgreSQL Celery Ideally APi DevelopmentYou 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 a progressive ...

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 Curious to explore how AI can improve how we build, deliver ...

Risk and control-oriented mindset: ability to ask incisive questions, assess materiality of model issues, and escalation of 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 ...

lead technical discussions, articulate design decisions effectively, and collaborate with cross‐functional teams. Highly Desirable Scientific Computing: Familiarity with scientific libraries like PyTorch, NumPy, SciPy, and visualisation tools (Matplotlib, Plotly, etc.). CFD Understanding: Any knowledge of aerodynamic design principles or experience with CFD software is a significant plus. ...

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 ...

STEM discipline Proven experience delivering data science, machine learning or AI solutions in a commercial environment Strong programming capability in Python (Pandas, NumPy, SciPy or similar) Solid grounding in statistics, probability and data analysis AI & LLM Experience Hands-on experience with large language models, including: RAG pipelines Fine-tuning approaches ...

such as econometrics, statistics, mathematics, physics, or similar. Expert-level Python skills and strong command of the core scientific stack, including Pandas, Scikit-learn, SciPy, and NumPy. Skills & Experience 3–5+ years of experience in data science, machine learning, econometrics, or a related technical field. Proven track record of independently ...

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 ...

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 ...

factual grounding. Technical Proficiency Machine learning algorithms: linear regression, logistic regression, decision trees, random forests, support vector machines, neural networks Data science tools: NumPy, SciPy, Pandas, Matplotlib, TensorFlow, Keras Cloud computing platforms: AWS, Azure, GCP Natural language processing: transformer models, attention mechanisms, word embeddings Computer vision: convolutional neural networks, recurrent ...

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 ...

machine learning techniques such as regularised regression, clustering or tree-based ensembles (and experience applying them with packages like Pandas, sci-kit-learn, SciPy) is highly beneficial Experience processing big data, ideally in a Hadoop/Spark environment, would be beneficial Proven experience implementing CI/CD and DevOps practices ...

machine learning techniques such as regularised regression, clustering or tree-based ensembles (and experience applying them with packages like Pandas, sci-kit-learn, SciPy) is highly beneficial Experience processing big data, ideally in a Hadoop/Spark environment, would be beneficial Proven experience implementing CI/CD and DevOps practices ...