Senior Data Scientist

Job Title: Senior Data Scientist – Financial Domain

Location: UK Remote

Experience: 10+ years

About the Role

We’re seeking an experienced Senior Data Scientist with a strong background in the financial domain to deliver actionable insights that drive data quality, operational efficiency, and sales performance.

This role focuses on analyzing structured and unstructured financial data to provide high-impact insights and quick-win recommendations — not model deployment.

Key Responsibilities

• Analyze large volumes of structured and unstructured financial data to identify trends, anomalies, and opportunities for optimization.
• Perform data wrangling, transformation, and integration from systems such as Oracle Siebel, SAP (Finance), Salesforce, and Genysis.
• Use Python, R, Excel, and Power BI to build analytical models, dashboards, and performance reports.
• Deliver insights and recommendations that improve data accuracy, enhance decision-making, and optimize sales outcomes.
• Collaborate with business and technical stakeholders to translate requirements into data-driven solutions.
• Define and monitor KPIs and metrics that measure performance, data quality, and business impact.
• Apply principles of AI ethics and responsible data usage in all analytical work.

Performance Metrics

• Insights delivered and adopted by business teams
• Data quality improvements and process optimization outcomes
• Business decisions influenced that impact sales and operational efficiency

Required Skills & Experience

• 10+ years of experience in Data Science, Data Analytics, or BI roles.
• Proven experience with financial data (transactional, operational, or sales-related).
• Proficiency in Python, R, Excel, and Power BI.
• Strong background in data wrangling, statistics, and algorithmic problem solving.
• Experience handling structured and unstructured data from enterprise systems (Oracle, SAP, Salesforce).
• Excellent communication skills and ability to influence senior stakeholders through data storytelling.
• Strong understanding of data ethics, governance, and accuracy principles.

Preferred Qualifications

• Domain expertise in Financial Services, Banking, or Capital Markets.
• Exposure to predictive analytics, automation, and optimization initiatives.
• Experience in short-term consulting or T&M-based project environments.

Why Join Us

Work with global financial data systems to deliver real-time insights that directly influence strategic decisions.

Be part of a forward-thinking environment that values precision, ethics, and data-driven impact.