8 of 8 Jupyter Jobs in the South East

management readiness. Proven track record 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 independently and take ownership of More ❯

testing frameworks (e.g., DoWhy, causalml) 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 pipelines and orchestration tools like More ❯

include: 3+ years industry experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to solve business problems (e.g., regression, classification, clustering, time-series More ❯

of between £30,000 to £40,000 per annum depending upon experience. Key Skills/Experience: Programming skills in R or Python including use of notebooks (R markdown/Jupyter) Experience in data mining, working with large datasets such as DNA- and RNA-sequencing, epigenomic, proteomic and protein-protein interaction data Experience in statistical analysis and handling of large data More ❯

and supporting the business with both regular and ad hoc data deliverables Tech you’ll work with: SQL Server (SSIS, SSRS, SSAS) Python AWS stack – Glue, Lambda, S3, EC2, Jupyter Power BI or Tableau (bonus) Excel (PowerPivot, VBA, lookups, advanced formulas) You’ll also: Collaborate closely with our Data Engineers and Product Owner Own your solutions end-to-end, from More ❯

and system integrations across the data stack. Design and support secure, scalable systems using network protocols (TCP/IP, OSI) Enable machine learning and AI workflows through tools like Jupyter, SpaCy, Transformers, and NLTK. Implement and support BI tools (Tableau, Power BI, Kibana) to drive actionable insights from complex data sets. If you are interested in this Big Data Engineer More ❯

techniques, and procedures (TTPs) mapped to the cyber kill chain and apply them to incident response analysis. Create hypotheses for proactive threat hunts and utilize tools like MISP and Jupyter Notebook for effective hunts. Process Development Develop playbooks and templates for incident management. Identify and address gaps in current processes, collaborate with other teams, and build streamlined cross-departmental processes. More ❯

full ownership of building the framework. This is a junior to mid-level developer role focused on building out and optimizing research and backtesting framework. Proficiency in Q and JupyterLab is required. The developer should have a basic understanding of backtesting methodologies. Performance optimization— speed and memory efficiency —will be the main measure of success in this role. This person More ❯