data scientists, engineers, and business stakeholders to understand project requirements and translate them into technical solutions. Utilise Python libraries and frameworks such as NumPy, Pandas, SciPy, and scikit-learn to perform data manipulation, statistical analysis, and machine learning tasks. Optimise code for performance, scalability, and maintainability, ensuring adherence to coding more »
performance analysis, and optimising marketing spend Programming proficiency in Python, SQL, Bash, and Excel, including experience with Jupyter notebooks, type-checking, functional programming, PyTest, Pandas, SciKit, PyTorch, CI/CD, and Git Experience with Docker, Kubernetes, and cloud platforms such as AWS, Databricks, Snowflake Experience visualizing data using Plotly and more »
at scale within financial services (ideally within financial crime prevention based projects) Very Strong Python skills and strong familiarity with the data science stack (pandas, scikit-learn and network) Have experience working in a, dynamic and scientific manner and creating high-quality models Be able to effectively explain complex technical more »
Glasgow, Lanarkshire, United Kingdom Hybrid / WFH Options
Lawrence Harvey
days a week on-site). Requirements Technical background in Windows Operating Systems, macOS, Linux, etc. commonly deployed in enterprise networks Working understanding of Pandas and SparkStrong written and verbal communication skills & relationship-building skills Relevant experience 2+ years with Splunk and familiar with uberAgent Background in Desktop Support or more »
networks A problem solving mindset, strong logical/critical thinking abilities for analysing events Ability to influence through teamwork and collaboration Working understanding of Pandas and SparkStrong written and verbal communication skills & relationship building skills Relevant experience 2+ years with Splunk and familiar with uberAgent Evidence of consistently excelling at more »
