Freemarket

Senior Data Scientist/Analyst

Freemarket

full-time

Posted on:

Origin:  • 🇬🇧 United Kingdom

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Job Level

Senior

Tech Stack

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.

Requirements

  • 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.