Senior Data Scientist/Analyst

Freemarket

full-time

Posted on: 9/3/2025

Location: 🇬🇧 United Kingdom

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Senior

PandasPostgresPythonScikit-LearnSQLTableau

About the role

High-impact role bridging raw data and strategic intelligence across Commercial, Product, Risk, and Operations.
Develop analytical tools, predictive models, and network intelligence to drive growth, efficiency, and client experience.
Translate complex datasets into actionable insights for client acquisition, upsell, retention, and network expansion.
Partner with commercial and product stakeholders to embed data into sales, account management, and network growth.
Build models for customer segmentation, anomaly detection, forecasting, fraud/risk scoring, and identifying growth opportunities.
Design and deliver dashboards and visualisations to surface key network and commercial metrics.
Work with Engineering to ensure data quality and richness for complex tasks and models.
Audit and enrich datasets; recommend new internal or third-party data sources (behavioural, market, enrichment data).
Champion best practices for data modeling, reporting, and experimentation and mentor the Data team.

5+ years in data science, analytics, or similar roles, with at least 2 years in fintech, payments, or financial services.
Solid grounding in statistics, machine learning, and data engineering principles.
Experience with Python (e.g., pandas, scikit-learn, seaborn) and SQL (Postgres preferred) for advanced data manipulation.
Familiarity with the modern data stack (Databricks).
Strong track record of delivering commercial and operational impact through data insight.
Ability to handle ambiguous business questions with rigorous analytical approaches.
Excellent storytelling and influencing skills, you don’t just crunch numbers, you drive decisions.
Experience with forecasting models for revenue, client growth, and network activity.
Familiarity with data visualization tools like Tableau.
Exposure to fraud detection, anomaly detection and pattern recognition modeling.