Data Scientist

We are recruiting a hands-on Data Scientist to join a major enterprise technology programme, helping develop a production intelligence and analytics platform that brings together multiple sources of operational and customer telemetry.

This opportunity suits someone who is genuinely comfortable working with data end-to-end: integrating new sources, analysing trends and anomalies, and converting complex telemetry into clear, decision-ready dashboards and insights for senior stakeholders.

You will work primarily with Python , developing within an established layered architecture covering data ingestion, analysis, cloud storage and visualisation.

Key skills: Python 3.11+, pandas and NumPy; Streamlit dashboard development; Plotly, matplotlib and similar visualisation tooling; SQL/API integration; Snowflake/OpenSearch or comparable platforms; AWS S3/Parquet exposure; Docker/Kubernetes and CI/CD; applied statistics and anomaly detection; and time-series analysis.

You should be self-directed, commercially aware and able to translate stakeholder questions into meaningful metrics rather than simply producing technical outputs.

Contract: £4000/day

Location: Burgess Hill – 3 days per week onsite

Experience: circa 5–7 years