8 of 8 Jupyter Jobs in Gloucester

Programming & Data Tools : Python: Strong foundation in Pandas, NumPy, matplotlib/seaborn, scikit-learn, TensorFlow, Pytorch etc. SQL: Advanced querying for large-scale datasets. Jupyter, Databricks, or notebooks-based workflows for experimentation. Data Access & Engineering Collaboration : Comfort working with cloud data warehouses (e.g., Snowflake, Databricks, Redshift, BigQuery) Familiarity with data More ❯

to take research from concept to business impact. Strong Python toolkit proficiency for Data Science, with experience in SQL and NoSQL databases. Familiarity with Jupyter Notebooks and Git version control. Expertise in working with large, sophisticated datasets and extracting actionable insights. Project management experience with tight deadlines. Ability to work More ❯

exploration, modelling and the ability to apply this process when handling structured or unstructured data Confident with using common data science tooling such as Jupyter notebooks, pandas, matplotlib, seaborn, numpy API testing and security tools: Postman, Burp Suite, OWASP ZAP, etc. Strong knowledge of database management systems (DBMS) such as More ❯

exploration, modelling and the ability to apply this process when handling structured or unstructured data Confident with using common data science tooling such as Jupyter notebooks, pandas, matplotlib, seaborn, numpy API testing and security tools: Postman, Burp Suite, OWASP ZAP, etc. Strong knowledge of database management systems (DBMS) such as More ❯

verbal communication skills - ESSENTIAL Exposure to Azure services such as Azure Machine Learning, Cognitive Services, Azure Data Factory, or Azure OpenAI - DESIRABLE Experience with Jupyter Notebooks, version control (e.g., Git), or working with APIs - DESIRABLE Demonstrated interest in AI/ML through coursework, personal projects, or internships - DESIRABLE CORE COMEPTENCIES More ❯

marketing use cases ADVANCED skills in segmentation, recommendation, campaign optimisation, forecasting, etc. Proficiency in Python, SQL, Bash, and Git. Familiarity with tools like Pandas, Jupyter notebooks, PyTorch. Experience with advanced techniques including CausalAI, NLP, RNNs, GraphAI, GenAI, and Computer Vision. Solid understanding of experimentation methods including A/B testing. More ❯

years of experience in a quantitative, analytics, or developer role within a financial institution or trading environment. Strong proficiency in Python (e.g., Pandas, NumPy, Jupyter) and experience building data pipelines , analytical tools , or dashboards . SQL experience is a plus. Proficiency in Excel and data visualization platforms such as Power More ❯

Data Platform/DevOps Engineer - Contract (Remote) – Consulting - AWS, Terraform, CI/CD, SageMaker, Jupyter Oliver Bernard are currently working with a Consultancy client of ours who are looking for an established Data Platform/DevOps Engineer, with strong hands-on experience across SageMaker in AWS, for a Data/… experience with Terraform Hands-on work with CI/CD pipelines (GitHub Action and/or Jenkins) Prior project focused work with SageMaker and Jupyter Notebooks is critical Knowledge and experience working in MLOps driven environments This position can offer £600-700 p/day, inside IR35, for an initial … a remote working model (for UK based candidates only). Data Platform/DevOps Engineer - Contract (Remote) – Consulting - AWS, Terraform, CI/CD, SageMaker, Jupyter More ❯