Senior Data Scientist

Role:
Senior Data Scientist

Location:

Manchester, UK / Leeds, UK

Role Overview As the client analytics team evolves, we are looking to onboard commercially savvy, independent Data Scientists to support and accelerate a predefined analytics backlog. The role requires strong technical capability, commercial acumen, and the ability to operate autonomously while driving measurable business impact.

-defined analytics backlog. The role requires strong technical capability, commercial acumen, and the ability to operate autonomously while driving measurable business impact. The Analyst/Data Scientist will design and deliver analytical solutions that help grow wallet share, increase market share, and improve customer engagement. They will also lead the creation of self-serve reporting and dashboards that enable stakeholders to track performance and key drivers.

-serve reporting and dashboards that enable stakeholders to track performance and key drivers.

Key Responsibilities Develop insights and recommendations to increase wallet spend across key customer segments. Design and deliver initiatives aimed at growing market share , including tracking performance and conducting root cause analysis.

-cause analysis. Build a self-serve dashboard to monitor market share, performance KPIs, and related contributing factors.

-serve dashboard Own end to end delivery of analysis with minimal oversight—problem structuring, data extraction, modelling, and presentation.

-to-end delivery of analysis with minimal oversight—problem structuring, data extraction, modelling, and presentation. Conduct data mining, manipulation, and validation using robust reconciliation practices. Identify and select relevant data points required for accurate and meaningful analysis. Build customer segmentations/profiles to inform commercial strategies and product decisions. Perform conversion and funnel analysis to understand customer behaviour and optimize interventions. Create business ready visualizations and structured reporting for senior stakeholders.

-ready visualisations and structured reporting for senior stakeholders. Automate repetitive tasks, streamline data workflows, and improve analytical efficiency. Design and evaluate marketing campaign structures—targeting, proposition, test design, measurement based on statistical significance. Present insights confidently and manage stakeholder expectations through clear, proactive communication. Deliver high quality outputs at pace with minimal rework.

-quality outputs at pace with minimal rework. Skills & Experience Required Technical & Analytical Skills Strong data mining, wrangling, and manipulation experience (SQL, Python, or equivalent). High competence in validation checks, reconciliations, and data quality assurance. Advanced data visualization capability (Power BI, Tableau, or similar). Experience building dashboards and business reporting tools. Familiarity with optimization and automation techniques in analytics workflows.

Commercial & Domain Experience Debit payments or current account experience within UK Financial Services (desired). Understanding of banking profitability , product economics, and business case modelling. Background in customer profiling , segmentation, and behavioral analytics. Experience designing and evaluating commercial or marketing campaigns. Strong understanding of conversion metrics and commercial performance levers. Behavioral Competencies Highly independent and proactive, able to manage workload and prioritization autonomously.

Strong communication and presentation skills with the ability to influence stakeholders. Delivers consistently to a high standard with minimal rework. Comfortable working in a fast paced, outcomes driven environment.

-paced, outcomes-driven environment.