Key Responsibilities
- Develop production-quality solutions using Python, pandas and NumPy
- Build and enhance interactive Streamlit dashboards
- Integrate data from SQL, APIs, Snowflake, OpenSearch and REST-based sources
- Analyse large telemetry datasets and identify trends, anomalies and performance issues
- Perform time-series analysis and anomaly detection
- Create effective visualisations using tools such as Plotly, Matplotlib and Seaborn
- Work with AWS S3, boto3 and Parquet-based data
- Own functionality from data ingestion through analysis to visualisation
- Maintain clean, scalable architecture and engineering standards
Key Skills & Experience
Essential:
Strong commercial Python development experience
Strong experience with pandas and NumPy
Hands-on Streamlit dashboard development
Strong SQL and API integration experience
Data analysis and quantitative/statistical skills
Experience working with time-series data and/or anomaly detection
Strong data visualisation skills
Experience developing production-grade data or analytics solutions
Rate:
£400/day
Location:
London
IR35 Status:
Inside
Remote Status:
Hybrid
Industry:
Data & Analytics
Seniority Level:
Senior