7 of 7 Permanent SciPy Jobs in London

comfortable with ambiguity and will want to dive deep and fix problems at scale. The environment looks a bit like this 👇 👉 Python (pandas, numpy, scipy, PySpark) 👉 SQL 👉 AWS or GCP (BigQuery/RedShift/Snowflake) 👉 Spark/Databricks 👉 Airflow/Dagster ...

exposure, generation patterns, demand profiles, and commercial optimisation. Required Skills and Experience Technical Skills Proficiency in Python and associated data science libraries (NumPy, Pandas, SciPy, scikit‐learn, PyTorch/TensorFlow). Strong experience with time‐series modelling (ARIMA, Prophet, LSTMs or similar). Understanding of optimisation methods (linear, mixed‐integer ...

over time. Required Skills and Qualifications Technical Expertise (The Core) Programming: Expert proficiency in Python and its core data science libraries: Pandas, NumPy, and SciPy . Machine Learning: Deep, practical experience with popular ML frameworks and libraries: scikit-learn, TensorFlow, or PyTorch . Statistics & Math: Strong foundation in statistical modeling ...

with recommender systems, personalisation, or deep learning is desirable but not essential. Solid Python skills and experience with ML libraries such as pandas, numpy, scipy, scikit-learn, TensorFlow or PyTorch. Experience working across cloud environments (GCP, AWS, or Azure) and analytics platforms such as Dataiku. Good understanding of MLOps practices ...

dataset splits, overfitting, evaluation metrics, augmentation, and performance trade-offs. Comfortable working with image processing and common computer vision libraries (e.g., OpenCV, NumPy, Pillow, SciPy, Matplotlib). Good engineering habits: Git-based workflows, virtual environment usage, clean code, and reproducible experiments. Strong problem-solving ability, able to iterate quickly ...

promoting long-term stability and maintainability. Apply SOLID principles and appropriate design patterns to ensure scalable and maintainable architecture. Work with modern technologies including SciPy, NumPy, Pandas, SQL, cloud platforms, Docker, Kubernetes, and CI/CD tools. Collaborate with cross-functional teams (data science, consultants, development) across the Netherlands … practices within the team. Skills, experience, and education you’ll need Minimum 5 years of hands-on experience with Python, including scientific libraries (especially SciPy + Pandas). Master’s degree in Mathematics, Computer Science, or a closely related quantitative field. Very strong background in mathematics, analytics, or statistical modelling ...

while keeping performance and scalability in mind. Apply software engineering best practices—SOLID principles, design patterns, unit & integration testing. Work with modern tech: NumPy, SciPy, Pandas, SQL, Docker, Kubernetes, cloud platforms, CI/CD. Collaborate with an international team across the UK, Netherlands, and US. Take ownership of key product … modules and influence software architecture. 🏆 What we’re looking for: 5+ years Python experience, especially with scientific libraries (NumPy, SciPy, Pandas). Relevant degree (Maths, Computer Science, or related quantitative field). Strong maths/statistics/analytics background, with experience translating theory into production-ready Python code. Experience building ...