51 to 75 of 209 SciPy Jobs

Qualifications: Advanced Python skills with experience in backend frameworks like Flask , FastAPI , or Django . Ability to write efficient, reusable, and scalable code. Experience with libraries like NumPy , Pandas , SciPy , or any others commonly used in data processing or modelling. Strong understanding of data structures , algorithms , and complexity analysis . Mathematical or Computational Modelling: Experience with implementing mathematical models in More ❯

extract insights • Collaborate with analysts and data scientists to improve tool efficiency Preferred Qualifications: • Strong background in data science, spatial statistics, or imagery analysis • Skilled in Python (Pandas, NumPy, SciPy), R, or MATLAB • Experience working with large-scale geospatial datasets 3. Geospatial Visualization Specialist Key Responsibilities: • Create static and interactive maps, graphics, and dashboards • Translate complex data and intelligence findings More ❯

a bonus. Experience: Experience in applying Artificial Intelligence in practical systems Experience in Machine Learning, NLP, Deep Learning, Neural Networks and data processing libraries (Tensorflow, Sci-kit learn, Pandas, Scipy, Numpy – at least three or more) Experience in Data mining, Data warehousing, ETL Experience in handling large volumes of data on SQL, NoSQL and Big Data databases Experience in Hadoop More ❯

and statistics (probability distributions, probability, bayesian stats etc.) Good working knowledge of Python Implementing end-to-end ML pipelines Hand-on experience in Python data science ecosystem (e.g. numpy, scipy, pandas, scikit-learn, matplotlib etc.) Deep Learning frameworks (TensorFlow, PyTorch, MLX) Popular classification and regression techniques Unsupervised learning & matrix factorisation algorithms Natural Language Processing (NLP) and document processing Generative AI More ❯

statistics, hypothesis testing, regression analysis, and experimental design Experience with marketing mix modeling, incrementality testing, or causal inference Proficiency in Python for data analysis and statistical modeling (pandas, numpy, scipy, statsmodels) Familiarity with machine learning libraries such as scikit-learn Experience with SQL for data extraction and manipulation Demonstrated ability to translate analytical findings into business recommendations Track record of More ❯

software engineering role. Technical background with good understanding of the underlying physical principles related to battery technology, electric vehicles, EV charging, and the energy sector. Python experience (numpy, streamlit, scipy, pandas, matplotlib, plotly, poetry, GIT, scikit-learn and other scientific libraries) Excellent mathematical, analytical and problem-solving ability Excellent professional communication, reporting and presentation skills Excel proficiency Desirable but non More ❯

Social network you want to login/join with: col-narrow-left Client: BCW Location: Job Category: Other - EU work permit required: Yes col-narrow-right Job Reference: 6ac49b69fb1a Job Views: 20 Posted: 18.06.2025 Expiry Date: 02.08.2025 col-wide Job More ❯

Social network you want to login/join with: Responsibilities: Join our dynamic team focusing on the FICC Emerging Markets deliveries, specialising in algorithm development and strategic framework creation. Play a crucial role in the development of the next-generation More ❯

Social network you want to login/join with: Responsibilities: Join our dynamic team focusing on the FICC Emerging Markets deliveries, specialising in algorithm development and strategic framework creation. Play a crucial role in the development of the next-generation More ❯

Job Title: Python Risk Developer Location: London/Bromley - Hybrid Remuneration: Daily rate from £600 Contract Details: Fixed Term Contract, 12 months Responsibilities: Join our dynamic team focusing on the FICC Emerging Markets deliveries, specialising in algorithm development and strategic More ❯

Job Title: Python Risk Developer Location: London/Bromley - Hybrid Remuneration: Daily rate from £600 Contract Details: Fixed Term Contract, 12 months Responsibilities: Join our dynamic team focusing on the FICC Emerging Markets deliveries, specialising in algorithm development and strategic More ❯

Job Title: Python Risk Developer Location: London/Bromley - Hybrid Remuneration: Daily rate from £600 Contract Details: Fixed Term Contract, 12 months Responsibilities: Join our dynamic team focusing on the FICC Emerging Markets deliveries, specialising in algorithm development and strategic More ❯

Job Title: Python Risk Developer Location: London/Bromley - Hybrid Remuneration: Daily rate from £600 Contract Details: Fixed Term Contract, 12 months Responsibilities: Join our dynamic team focusing on the FICC Emerging Markets deliveries, specialising in algorithm development and strategic More ❯

Job Title: Python Risk Developer Location: London/Bromley - Hybrid Remuneration: Daily rate from £600 Contract Details: Fixed Term Contract, 12 months Responsibilities: Join our dynamic team focusing on the FICC Emerging Markets deliveries, specialising in algorithm development and strategic More ❯

Location: East Midlands Industry: IT Salary: £450 - £500 per day + Outside IR35 Posted: 14/10/2024 Description Contract Python Developer, Full Stack Software Engineer, FastAPI, Numpy, Scipy, Matplotlib, PyQt/PySide, TypeScript, React/Angular, SQL, Django, MongoDB, Redis, Docker, Kubernetes - £500 a day outside IR35 - 3 months with possible extension Contract Python Developer required to work … to obtain client info and Python Developer job spec. In your tool kit we will need to see experience of most of the following: Python (FastAPI, Numpy, Scipy, Matplotlib, PyQt/PySide, etc) TypeScript, React, Chakra UI REST, GraphQL, gRPC, Socket.IO SQL, Django, GitLab, Continuous Integration & Delivery, Docker, Kubernetes VTK A great time to join this client as they embark More ❯

experience analyzing US Treasury and/or European government bond markets preferred Strong proficiency in Python programming and data manipulation libraries and experience dealing with datasets (e.g., Pandas, NumPy, SciPy) Experience with Dash/Plotly or other visualization software highly desirable Experience with database programming languages (e.g. kdb, SQL) Strong knowledge of MS Excel (especially using real-time data) Strong More ❯

such as Python, R, or MATLAB for quantitative analysis and development. - Experience with statistical analysis, machine learning, and mathematical modeling techniques. - Familiarity with data analysis libraries (e.g., pandas, NumPy, SciPy) and machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch). - Excellent analytical and problem-solving skills, with a keen attention to detail. - Effective communication skills and ability to work collaboratively More ❯

of any programming language like Python • Power BI, Qlik or other dashboarding software • Statistical programming (Python/R) and experience working with popular libraries and tools such as Pandas, SciPy, Seaborn, Jupyter/iPython notebooks, R Markdown. We will consider it an advantage if you also have familiarity with any of the following: • AWS • Microsoft Azure cloud computing • Familiarity with More ❯

of any programming language like Python • Power BI, Qlik or other dashboarding software • Statistical programming (Python/R) and experience working with popular libraries and tools such as Pandas, SciPy, Seaborn, Jupyter/iPython notebooks, R Markdown. We will consider it an advantage if you also have familiarity with any of the following: • AWS • Microsoft Azure cloud computing • Familiarity with More ❯

developed and released. Key Responsibilities: • Be the point of contact to our client representing Grey Matters Defense Solutions with their software releases About you: • 3+ years experience using Python SciPy NumPy Pandas Boto3 • 3+ years experience using AWS C2S Integration S3 SQS SNS AWS CLI • 3+ years experience using Linux Bash RHEL Derivatives • Integration ICD Documents and Updates Working with More ❯

Experience with molecular property prediction and multi-objective optimization using machine learning and/or deep learning methods Experienced with common python toolkits for scientific computing (e.g., numpy, pandas, scipy), machine learning (e.g., scikit-learn, pytorch), and cheminformatics/bioinformatics (e.g., rdkit, openeye, biotite, biopython) Familiarity running simulations and training models on high-performance computing (GPU) environments for corporate R More ❯

in Physics, Math, Engineering, Statistics, or Economics, with a strong focus on Modelling and Quantitative Finance. High-level programming skills in Python and experience with numerical libraries (NumPy, Pandas, SciPy). Proven experience working with time series data, market simulations, risk metrics, and calibration techniques. Strong understanding of financial products, risk factors, and trading exposure. Excellent English and Spanish communication More ❯

challenges Drive the adoption of best practices in data science across the organisation, lead other data science engineers MINIMUM QUALIFICATIONS Industry experience using Python for data science (e.g. numpy, scipy, scikit, pandas, etc.) and SQL or other languages for relational databases. Experience with a cloud platform such as (AWS, GCP, Azure etc.) Experience with common data science tools; statistical analysis More ❯

building complex, maintainable systems Professional software development experience with a track record of delivering high-quality, production-grade code Experience with scientific computing libraries such as NumPy, Pandas, or SciPy in production environments Holistic software development mindset covering testing, documentation, security, and performance Track record of mentoring other engineers and sharing knowledge across teams Working knowledge of mathematical modelling concepts More ❯

Own features end-to-end, from ideation to deployment. Be on-call for urgent AI model fixes or system failures. Qualifications Proficiency in Python and related libraries (e.g., NumPy, SciPy, pandas) is required. Strong production experience with at least one framework: LangChain, AutoGen, or CrewAI. Deep understanding of agentic systems, autonomous workflows, and LLM-based automation. Experience deploying and fine More ❯