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 More ❯
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 More ❯
insights. Technical Skills: Proficient user of SQL databases, with experience in one or more programming languages (e.g., Python, R) and data analysis libraries (e.g., NumPy, Pandas, scikit-learn). Analytical Techniques: Solid understanding of statistics, including descriptive statistics, regression analysis, probability, sampling, and hypothesis testing. Web Analytics Tools: Competency in More ❯
Minimum Requirements: 2+ years of experience as a 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 More ❯
Frameworks used in Machine Learning and Data Science such as TensorFlow, PyTorch, and scikit-learn. Computer vision. Data Science and Visualisation libraries including Pandas, NumPy, scikit-learn, matplotlib, Seaborn. Cloud services used in machine learning and data science, such as Azure, OpenAI, Hugging Face, AWS ML/AI. Machine Learning More ❯
Office environments is also something which will be essential to your success in this role. Tech Stack: Angular C# .NET Azure Python (FastAPI, Pandas, Numpy) Event driven architecture As a member of the Application Development team, you'll be responsible for designing, developing, and delivering production software as well as More ❯
london, south east england, united kingdom Hybrid / WFH Options
VirtueTech Recruitment Group
Office environments is also something which will be essential to your success in this role. Tech Stack: Angular C# .NET Azure Python (FastAPI, Pandas, Numpy) Event driven architecture As a member of the Application Development team, you'll be responsible for designing, developing, and delivering production software as well as More ❯
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. More ❯
love for 'ARIMA models.' Qualifications: A strong background in mathematics, statistics, or a related field Proficiency in Python, with experience using libraries such as NumPy, Pandas, and Scikit-Learn Familiarity with high-frequency trading strategies and market microstructure A passion for solving complex problems and generating profits through clever trading More ❯
Senior Quantitative Analyst – Sports betting Hedge fund – London Skills: Python stack (numpy, pandas etc.), R, TensorFlow. *Please note this role cannot sponsor. Please do not apply if you are seeking sponsorship* Job Summary Senior Quantitative Researcher is required for exciting and progressive Sports betting Hedge fund Company based in London. More ❯
Senior Quantitative Analyst – Sports betting Hedge fund – London Skills: Python stack (numpy, pandas etc.), R, TensorFlow. *Please note this role cannot sponsor. Please do not apply if you are seeking sponsorship* Job Summary Senior Quantitative Researcher is required for exciting and progressive Sports betting Hedge fund Company based in London. More ❯
development in trading. Skills : Strong understanding of multivariate statistics, time-series analysis, machine learning, and optimization. Strong programming skills in Python, including libraries like NumPy, Pandas, and Scikit-learn. Familiarity with Q/KDB and Git. Strong mathematical ability in linear algebra and calculus. More ❯
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 More ❯
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 More ❯
business application Experience in Computer Vision modelling and techniques 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 More ❯
Experience – 1-3 years in Machine Learning, Data Science, or a related field Technical Skills – Strong knowledge of Python, SQL, TensorFlow, Scikit-learn, Pandas, NumPy , and experience with predictive analytics, time-series forecasting, and statistical modeling . Business & Strategy – Ability to engage with senior stakeholders , understand business needs, and align More ❯
PhD in a relevant field (e.g., Computer Science, Data Science, Engineering, Applied Mathematics, Statistics, etc.). Proficiency in Python, SQL, AWS, Airflow, PySpark, PyTorch, NumPy, and related data technologies. Experience with cloud infrastructure, data pipelines, and machine learning model deployment. Proven experience leading diverse teams of data scientists, engineers, and More ❯
business application Experience in Computer Vision modelling and techniques 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 More ❯
PhD in a relevant field (e.g., Computer Science, Data Science, Engineering, Applied Mathematics, Statistics, etc.). Proficiency in Python, SQL, AWS, Airflow, PySpark, PyTorch, NumPy, and related data technologies. Experience with cloud infrastructure, data pipelines, and machine learning model deployment. Proven experience leading diverse teams of data scientists, engineers, and More ❯
Degree in a STEM subject, preferably from a Russell Group University. Strong mathematical and statistical background; expertise in Python and R, including libraries like Numpy, Pandas, Pytorch and Scikit-learn. Demonstrable experience in data science and a proven track record in developing predictive models. Experience contributing to a software project More ❯
supervised and unsupervised learning, deep learning (CNNs, RNNs, GANs), and reinforcement learning. Data Handling: Proficient in data manipulation and analysis using tools like Pandas, NumPy, and SQL. Experience working with large datasets. Category: Software About the Organization: ioMosaic is an integrated process safety and risk management consulting firm focused on More ❯
What you will bring: Essential: 5+ years of experience in data science, machine learning, or AI innovation. Strong coding skills in Python (e.g., Pandas, NumPy, TensorFlow, PyTorch) and SQL. Proven experience deploying ML models in production environments. 3+ years in a leadership or mentorship role within AI or data teams. More ❯
Experience programming in Java, C++, Python or related language - 3+ years' experience with modeling languages and tools like PyTorch/TensorFlow, R, scikit-learn, numpy, scipy, etc - Solid ML background and familiar with standard NLU, NLG, and LLM techniques PREFERRED QUALIFICATIONS - PhD in Computer Sciences, Electrical Engineering, or Mathematics with More ❯
related field. Highly proficient and experienced working with telemetry systems, preferably MoTeC or similar. Strong proficiency in Python, SQL, and data analysis libraries (Pandas, NumPy, etc.). Familiarity with data visualisation tools (e.g. Plotly, Power BI, MATLAB, or custom dashboards). Understanding of motorsport operations and vehicle dynamics is a More ❯
