Data Scientist

Responsibilities

• Analyse large, complex internal and external datasets to evaluate business strategies and deliver data-driven recommendations that inform key organisational decisions.

• Design and build analytical applications - including interactive dashboards and platforms - that translate analytical findings into intuitive, actionable formats for senior stakeholders and leadership.

• Extract, transform, and model data using Oracle SQL and Python, encompassing statistical and advanced machine learning, usage of LLMs, automation of recurring analyses, and exploratory data analysis.

• Document data requirements, data collection processes, and cleaning methodologies to ensure analytical outputs are reproducible, auditable, and meet compliance standards.

• Apply GenAI tools to manage and progress multiple analytical workstreams simultaneously, maintaining a high degree of accuracy and rigour throughout.

• Scope, drive, and deliver analytics projects independently from initial concept through to final output, with minimal oversight and full ownership of delivery.

Required Qualifications & Skills

• 8 to 10 years of experience working in a quantitative or data-intensive field, with demonstrated ability to retrieve, manipulate, and model complex datasets.

• Expert-level proficiency in Oracle SQL, Python, experience with building on LLMs for advanced analytics, including data extraction, transformation, statistical modelling, and automation.

• Demonstrated ability to build data applications - such as dashboards or interactive tools - that present analytical results clearly to non-technical audiences.

• Advanced analytical and problem-solving ability, with a track record of delivering innovative, data-driven solutions to complex business questions.

• Experience leveraging GenAI tools to manage multiple concurrent projects while sustaining high analytical accuracy.

• Proven ability to independently lead analytics projects end-to-end, from scoping and methodology through to delivery and stakeholder communication.

• Master's degree in a quantitative discipline, or equivalent professional experience.

Beneficial Skills & Qualifications

• Experience working with HR or people analytics data, with familiarity in workforce metrics and related data structures.

• Background in the financial services or credit card industry, with exposure to quantitative modelling in a regulated environment.

• Experience collaborating with cross-functional teams in a matrixed organisation, with the ability to build effective working relationships across business areas.