Data Scientist

Data Scientist

London-Hybrid

BFSI domain preferred

Contract: Inside IR35

Mandatory Skills: Data Science

Job Description

• 12+ 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, PySpark) 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
• Hands on experience in Python libraries of pm4py e.g. Petri Net and Display
• Hands on databricks experience, including notebooks, creating pipelines and visualisations
• Knowledge of NLP and applying it to data quality. 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 and Client
• Lead Technical solutioning of Data Science Use Cases
• Nice to have: LLM, OCR, RAG based architecture