Senior Data Scientist/Analyst London (Hybrid)

Senior Data Scientist/Analyst

Location: Freemarket offers a hybrid working model. You should be able to attend the office in London Bridge when required, on average twice per week.

Department: Data / Engineering

Reports To: Head of Data

Employment Type: Permanent, Full-Time

Freemarket is a provider of digital solutions for FX and cross-border payment needs. Anchored by deep sector expertise, rigorous compliance-led onboarding, and unmatched oversight of regulated flows, clients are rewarded with a partner that values their relationship like no other. Through our proprietary digital platform clients can access an instant settlement network and seamless real-time money movement globally within an interconnected community of like-minded companies.

At Freemarket, our success is driven by our commitment to core behaviours that shape how we work and deliver value. We take accountability, ensuring outcomes are met with urgency and transparency. Our data-driven approach blends rigorous analysis with intuition to guide sound decision-making. We encourage innovation by being curious learners, always seeking new knowledge, skills, and perspectives. We act as team players, prioritising team success over individual recognition, and our client-centric mindset ensures we consistently understand and meet the needs of our clients, adding value at every step. These behaviours run through everything we do, enabling us to exceed expectations and support our clients\' growth effectively.

We’re looking for a highly capable and commercially minded Senior Data Scientist/Analyst with deep fintech or payments experience and a passion for leveraging network-driven insights. This role bridges raw data and strategic intelligence, helping the business make smarter, faster, and more impactful decisions across Commercial, Product, Risk, and Operations.

You’ll develop analytical tools, predictive models, and network intelligence to drive business growth, operational efficiency, and client experience. This is a high-impact role, where your work will influence the size and profitability of our expanding multi-currency, FX, and stablecoin adjacent payment network.

• Translate complex datasets into clear, actionable insights for client acquisition, upsell strategies, retention, and network expansion.
• Partner with commercial and product stakeholders to embed data into every stage of the sales, account management, and network growth processes.
• Build models for customer segmentation, anomaly detection, forecasting, fraud/risk scoring, and identifying growth opportunities in existing and untapped markets.
• Turn data into actionable insights, proactively and persuasively translating data into meaning for technical and non-technical audiences.

• Design and deliver dashboards and visualisations to surface key network and commercial metrics.
• Work with Engineering to ensure data quality and richness to complete complex tasks and models.
• Audit and enrich existing datasets; recommend new internal or third-party data sources (e.g., behavioural, market, enrichment data).
• Collaborate cross-functionally to define and own KPIs around commercial performance, client behaviour, product usage, and network efficiency.
• Champion best practices for data modeling, reporting, and experimentation.
• Stimulate the growth and upskilling of the Data team by mentoring and promoting a data-first culture.
• Collaborate across teams to align network and data strategies with broader business goals.

• 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.