a model. Familiarity with Python and the packages widely used in data science and machine learning. Developers should be familiar with libraries like NumPy, pandas, scikit-learn, TensorFlow, and PyTorch. Fluency in validation and evaluation framework and metrics frameworks for machine learning such as Accuracy, Recall, F1 scores and others. More ❯
a model. Familiarity with Python and the packages widely used in data science and machine learning. Developers should be familiar with libraries like NumPy, pandas, scikit-learn, TensorFlow, and PyTorch. Fluency in validation and evaluation framework and metrics frameworks for machine learning such as Accuracy, Recall, F1 scores and others. More ❯
a model. Familiarity with Python and the packages widely used in data science and machine learning. Developers should be familiar with libraries like NumPy, pandas, scikit-learn, TensorFlow, and PyTorch. Fluency in validation and evaluation framework and metrics frameworks for machine learning such as Accuracy, Recall, F1 scores and others. More ❯
a model. Familiarity with Python and the packages widely used in data science and machine learning. Developers should be familiar with libraries like NumPy, pandas, scikit-learn, TensorFlow, and PyTorch. Fluency in validation and evaluation framework and metrics frameworks for machine learning such as Accuracy, Recall, F1 scores and others. More ❯
in a data-driven role, with exposure to: building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; developing models for bespoke problem settings that involve high-dimensional data (spatiotemporal, geometric, physical); iterating on network architectures More ❯
Manchester, Lancashire, United Kingdom Hybrid / WFH Options
Dept
learning, and other AI techniques. Proficiency in Python and relevant AI libraries (e.g., TensorFlow, PyTorch). Experience with data processing and analysis tools (e.g., Pandas, SQL). Experienced with cloud platforms such as Amazon Web Services, Azure, or Google Cloud Platform. Ability to work with version control systems (e.g., Git More ❯
Experience with common data science toolkits, such as R, Weka, NumPy, MatLab, etc. Proficiency in using data query languages such as SQL, Hive, Pig, Pandas, MongoDB Proficiency in big data modeling work: Hadoop, Pig, Scala, Spark Good, applied statistics skills, such as distributions, statistical testing, regression, etc. Substantial experience with More ❯
business. Proficient/intermediate level programming skills, preferably Python. Software collaboration experience using version control, preferably Git. Experience using foundational data science libraries e.g., Pandas, NumPy, scikit-learn or equivalent. Experience applying state-of -the-art machine learning to commercial problems. Experience using software development/deployment tools, platforms, and More ❯
research outputs Excellent Englishand strong presentation skills Experience with Microsoft PowerPoint and Excel Desirable Qualifications Programming skills in Pythonincluding data science libraries such as pandas, numpy or plotly Work experience in: Consultingor a client-facing business Quantitative research methods (especially surveys and experiments) Media and conversation analysis Natural language processingincluding More ❯
and non-technical stakeholders REQUIREMENTS credit risk modeling/data science role, ideally in fintech, banking, or consumer lending Strong Python and SQL skills (Pandas, Scikit-learn, etc.) Solid understanding of credit risk modelling, statistical methods HOW TO APPLY Please apply below... More ❯
and non-technical stakeholders REQUIREMENTS credit risk modeling/data science role, ideally in fintech, banking, or consumer lending Strong Python and SQL skills (Pandas, Scikit-learn, etc.) Solid understanding of credit risk modelling, statistical methods HOW TO APPLY Please apply below... More ❯
required • 3-7 years of experience in data science, preferably within national security contexts • Proficiency in Python and core data science tools (e.g., NumPy, pandas, scikit-learn, PyTorch/TensorFlow) • Experience working in secure, classified environments • Ability to translate ambiguous operational needs into structured analytic tasks Preferred Experience • Familiarity with More ❯
masterdiploma in IT, Science (zoals wiskunde of fysica), of bent burgerlijk of industrieel ingenieur. Je hebt kennis van R, Python (TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy), Exploratory Data Analysis. Je hebt een affiniteit voor verschillende machine learning-algoritmen, zoals regressie, classificatie, clustering en deep learning. Een eerste ervaring met Matplotlib More ❯
an agentic analysis solution capable of performing multi-step financial analysis and processing, including data querying, variance analysis, data quality analysis, and Python/Pandas code generation and execution. More ❯
across backend/frontend Troubleshoot technical issues, communicate with stakeholders, and mentor junior team members What are we looking for: Excellent Python skills, including pandas, FastAPI, and Pydantic Experience with Git version control Understanding of PostgreSQL database management Strong practical experience in machine learning model training and deployment Solid background More ❯
Collaborate with backend engineers to integrate systems and enable real-world applications. Iterate rapidly on projects using tools like Python and libraries such as Pandas for data analysis. Analyzing and optimizing our core supply operations, from energy trading to the finance function. Developing and pricing innovative products while strategizing their More ❯
such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing data science More ❯
of transfer learning and popular augmentation techniques Able to apply machine learning to real-life problems Vision Transformers, DeepLabv3, SegFormer, etc.Python, Scikit-Learn, NumPy, Pandas and PyTorch/TensorFlow/Keras Thrive in a cross-functional working environment Possess a clear passion for data science beyond the day job Nice More ❯
City Of Bristol, England, United Kingdom Hybrid / WFH Options
Wilson Grey
of transfer learning and popular augmentation techniques Able to apply machine learning to real-life problems Vision Transformers, DeepLabv3, SegFormer, etc.Python, Scikit-Learn, NumPy, Pandas and PyTorch/TensorFlow/Keras Thrive in a cross-functional working environment Possess a clear passion for data science beyond the day job Nice More ❯
newport, wales, United Kingdom Hybrid / WFH Options
Wilson Grey
of transfer learning and popular augmentation techniques Able to apply machine learning to real-life problems Vision Transformers, DeepLabv3, SegFormer, etc.Python, Scikit-Learn, NumPy, Pandas and PyTorch/TensorFlow/Keras Thrive in a cross-functional working environment Possess a clear passion for data science beyond the day job Nice More ❯
such as recommendations, segmentation, forecasting, and marketing spend optimisation. Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch. Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong leadership skills with experience mentoring and managing data science More ❯
learning applications such as recommendation systems, segmentation, and marketing optimisation. Proficiency in Python, SQL, Bash, and Git, with hands-on experience in Jupyter notebooks, Pandas, and PyTorch. Familiarity with cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong problem-solving skills and a passion for driving measurable More ❯
bath, south west england, United Kingdom Hybrid / WFH Options
Wilson Grey
of transfer learning and popular augmentation techniques Able to apply machine learning to real-life problems Vision Transformers, DeepLabv3, SegFormer, etc.Python, Scikit-Learn, NumPy, Pandas and PyTorch/TensorFlow/Keras Thrive in a cross-functional working environment Possess a clear passion for data science beyond the day job Nice More ❯
bradley stoke, south west england, United Kingdom Hybrid / WFH Options
Wilson Grey
of transfer learning and popular augmentation techniques Able to apply machine learning to real-life problems Vision Transformers, DeepLabv3, SegFormer, etc.Python, Scikit-Learn, NumPy, Pandas and PyTorch/TensorFlow/Keras Thrive in a cross-functional working environment Possess a clear passion for data science beyond the day job Nice More ❯
learning applications such as recommendation systems, segmentation, and marketing optimisation. Proficiency in Python, SQL, Bash, and Git, with hands-on experience in Jupyter notebooks, Pandas, and PyTorch. Familiarity with cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes). Strong problem-solving skills and a passion for driving measurable More ❯
