Data Scientist responsible for predictive modeling initiatives at HighPeak AI using cutting - edge analytics. Collaborating across teams to drive insights into client strategy and product roadmap.
About the role
- Lead data strategy for motor resolutions at Lloyds Banking Group, driving compliance and delivery within regulatory frameworks. Collaborate with multidisciplinary teams to develop effective data solutions.
Responsibilities
- Define and own the data and data readiness strategy for the Madison programme.
- Outline and execute a clear plan to meet FCA timelines, providing decisive direction and driving improvements.
- Deliver strategic progress updates to senior Madison and Transport accountable executives.
- Bring deep expertise in data management and automation-led delivery within complex regulatory programmes.
- Act as the data lead for Motor Resolutions, collaborating across multidisciplinary teams of business, data and conduct professionals.
- Develop a comprehensive data model supported by a robust Governance and Quality framework aligned to Group standards.
- Drive activities culminating in SMR attestation of readiness, maintaining rigorous governance and audit trails to satisfy regulatory expectations.
- Evaluate current data infrastructure, tooling and engineering capabilities, and define a strategic roadmap to optimise and future-proof delivery of ongoing data requirements.
Requirements
- Proven ability to lead large, complex data programmes under intense regulatory scrutiny, delivering outcomes at pace and with precision.
- Strong practitioner-level knowledge of data engineering, data management, data modelling, and data governance/quality frameworks, with hands-on experience in automation and tooling.
- Skilled in influencing senior executives and external bodies (FCA, FOS, auditors), providing clear, credible updates and managing critical messages succinctly.
- Experience in managing large multidisciplinary teams across multiple geographies, establishing effective operating models and driving readiness for scheme and non-scheme delivery.
- Ability to leverage data, automation and AI to optimise processes, improve accuracy, and meet strict regulatory timelines.
- Expertise in building governance frameworks, managing data quality, and mitigating risk through structured action plans and transparent reporting.
- Familiarity with regulatory schemes, remediation programmes, and associated data artefacts, ensuring compliance and robust audit trails.
Benefits
- A generous pension contribution of up to 15%
- An annual bonus award, subject to Group performance
- Share schemes including free shares
- Benefits you can adapt to your lifestyle, such as discounted shopping
- 30 days’ holiday, with bank holidays on top
- A range of wellbeing initiatives and generous parental leave policies
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