DATA SCIENTIST LEAD L1

Job Description

Role Purpose

The Data Scientist will rapidly develop and operationalise analytical datasets, metrics, and models that power early PULSE use cases. The role is focused on speed‑to‑value—turning data into decision‑ready insights that make PULSE immediately useful and visibly different, while ensuring solutions are scalable and production‑ready for future phases.

Data Scientist

• 10 years in data science, applied ML, or advanced analytics in enterprise environments
• Demonstrated experience extracting meaningful signals from high-volume, high-noise telemetry or behavioural datasets
• Proficiency in Python (pandas, scikit-learn, Py Spark) and statistical modelling
• Experience building structured, repeatable analytical frameworks — use case scoring, feasibility assessments, or prioritisation models — not purely ad hoc analysis
• Background in designing feedback loops or iterative learning models that improve future analytical outcomes
• Experience assessing data quality and coverage sufficiency before committing analytical investment to a use case
• identifying key entity relationships, behavioural patterns, and signal clusters to be encoded in the graph
• Comfortable operating in ambiguous, early-stage data environments where frameworks need to be built from scratch
• Experience collaborating with process or operational teams — translating data signals into process-level insights
• Familiarity with process mining, task mining, or workforce analytics advantageous
• Structured, documented output discipline — scoring models, ranked inventories, and feasibility assessments suitable for senior review
• Strong remote communication and collaboration skills with onsite UK leads