76 to 100 of 121 SciPy Jobs in London

or PhD degree in a quantitative field. • Proven experience of large-scale data analysis and hypothesis testing. • Strong proficiency in statistical analysis and predictive modeling. • Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. • Excellent problem-solving skills and attention to detail. • Strong communication skills with the ability to present complex data insights More ❯

or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. Excellent problem-solving skills and attention to detail. Strong communication skills with the ability to present complex data insights More ❯

data-driven analysis and guide this work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a plus. Familiarity with statistical More ❯

data-driven analysis and guide this work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a plus. Familiarity with statistical More ❯

field Deep theoretical knowledge of statistical methods and ML algorithms and their practical applications. Strong proficiency in SQL and Python, especially with core ML libraries (e.g. scikit-learn, XGBoost, SciPy, PyTorch) Extensive hands-on experience in taking advanced statistical/ML solutions from prototype to production and delivering high-impact outcomes to complex business problems Proactive technical leader with a More ❯

data-driven analysis and guide this work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a plus. Familiarity with statistical More ❯

or PhD degree in a quantitative field. • Proven experience of large-scale data analysis and hypothesis testing. • Strong proficiency in statistical analysis and predictive modeling. • Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. • Excellent problem-solving skills and attention to detail. • Strong communication skills with the ability to present complex data insights More ❯

end-to-end and produce good outcomes without much supervision. Proficiency with data manipulation and modelling tools - e.g., pandas, statsmodels, R. Experience with scientific computing and tooling - e.g., NumPy, SciPy, R, Matlab, Mathematica, BLAS. Degree in Statistics, Mathematics, Physics or equivalent. Bonus: Experience implementing solutions in a production environment (e.g., continuous integration). Experience with Python. (Note: we mostly work More ❯

data-driven analysis and guide this work through others. Experienced in using Python and SQL to query and analyse large datasets, with expertise in libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn for data manipulation, statistical analysis, and visualisation. Familiarity with Monte Carlo simulations in Python and/or PyMC3 for Bayesian modelling is a plus. Familiarity with statistical More ❯

Learning, Data Science or Forward Deployed roles, with 2+ years direct customer exposure Advanced Python programming skills, including ability to build ML algorithms from scratch using frameworks like numpy, scipy, pytorch, pandas, sklearn Competent SQL skills including CTEs, joins, and ability to learn advanced concepts as needed Experience working in startup or early-stage environments Track record of delivering end More ❯

Learning, Data Science or Forward Deployed roles, with 2+ years direct customer exposure Advanced Python programming skills, including ability to build ML algorithms from scratch using frameworks like numpy, scipy, pytorch, pandas, sklearn Competent SQL skills including CTEs, joins, and ability to learn advanced concepts as needed Experience working in startup or early-stage environments Track record of delivering end More ❯

leading high-performing teams. Proven ability to build predictive models and extract insights from large, complex datasets. Advanced proficiency in Python and SQL, including libraries such as Pandas, NumPy, SciPy, Matplotlib, and Seaborn. Skilled in developing and deploying credit risk models, including scorecard thresholds, limit optimisation, and loss reduction. Experience with Monte Carlo simulations or Bayesian modelling (e.g., PyMC3) is More ❯

developing code collaboratively and implementing solutions in a production environment. Proficiency with data manipulation and modelling tools - e.g., pandas, statsmodels, R. Experience with scientific computing and tooling - e.g., NumPy, SciPy, Matlab, etc. Self-driven with the capability to efficiently manage projects end-to-end. Experience working on research projects, particularly those involving mathematical, statistical, or analytical modelling. Bonus: Experience building More ❯

Optimove is a global marketing tech company, recognized as a Leader by Forrester and a Challenger by Gartner. We work with some of the world's most exciting brands, such as Sephora, Staples, and Entain, who love our thought-provoking More ❯

Quant Developer - Market Risk than Credit Risk. Building from the beginning - lots of IT Challenges - Python Code Migrating from library, tweaking, methodology. Skills: Python: Blackrock numeric data processing: numpy, scipy databases: sqlalchemy, psycopg Carbon60, Lorien & SRG - The Impellam Group STEM Portfolio are acting as an Employment Business in relation to this vacancy. Front Office Quant Developer - Credit Risk Lorien Impellam More ❯

management Requirements: 2+ years of experience as a quantitative researcher or data scientist Strong programming skills in Python and experience with data science tools such as Pandas, NumPy, and SciPy Strong statistical and modeling skills Strong communication and collaboration skills Experience in the energy industry is a plus Benefits: Competitive salary and a stock options sign-on bonus Biannual bonus More ❯

or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. Excellent problem-solving skills and attention to detail. Strong communication skills with the ability to present complex data insights More ❯

Mathematics, Biology, Chemistry,Computer Science etc. Experience as a Data Analyst/Data Scientist working with vast quantities of raw data Experience with Python, including libraries such as NumPy, SciPy, Pandas etc. Any Medical Device Software experience and understanding of ISO 13485 would really set your application apart! What Next? If you’re a Data Analyst/Data Scientist looking More ❯

or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. Excellent problem-solving skills and attention to detail. Strong communication skills with the ability to present complex data insights More ❯

or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. Excellent problem-solving skills and attention to detail. Strong communication skills with the ability to present complex data insights More ❯

the benefits offered are world-class. Requirements 3+ years’ hands-on development experience (working directly with PMs and traders preferred) Strong knowledge of Python, including scientific libraries (pandas, numpy, scipy, etc.), plus experience of at least two other languages Strong knowledge of commodities, or alternative asset classes Solid analytical and problem-solving skills Experience with modern software development practices Bachelor More ❯

or PhD degree in a quantitative field. Proven experience of large-scale data analysis and hypothesis testing. Strong proficiency in statistical analysis and predictive modeling. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse/data.table), along with SQL. Excellent problem-solving skills and attention to detail. Strong communication skills with the ability to present complex data insights More ❯

Experience in building machine learning models for business application Experience in applied research PREFERRED QUALIFICATIONS 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 is central to our More ❯

Python or related language - Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS - 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. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability More ❯

experiments and analyze results in robotic systems. Strong problem-solving and critical thinking skills. Excellent communication skills for diverse audiences. Experience with data analysis tools like Python (pandas, sklearn, scipy). Proficiency in remote Linux environments and debugging. Ability to influence organizational direction through insights. Desirable Skills Hands-on experience with machine learning frameworks (e.g., PyTorch). Passion for translating More ❯