You will be responsible for developing insights to optimize commercial performance across four major brands including Lloyds, Halifax, BoS, and MBNA
Job Summary
You will be responsible for developing insights to optimize commercial performance across four major brands including Lloyds, Halifax, BoS, and MBNA.
The role involves leading the design, build, and maintenance of databases and data warehouses to support efficient storage and retrieval of structured and unstructured data.
We offer a generous pension contribution of up to 15%, an annual performance-related bonus, and flexible working options including hybrid schedules and job share.
Matching Summary
You will be responsible for developing insights to optimize commercial performance across four major brands including Lloyds, Halifax, BoS, and MBNA.
Salary
Base: £40,824 - £45,360; Bonus/Equity: Annual performance-related bonus mentioned; Benefits: Up to 15% pension contribution, 28 days holiday plus bank holidays
Skills & Requirements
Must-have
3 years in data science or analytics
Proficiency in Python, SQL, SAS, Power BI
Experience with cloud-based data platforms GCP
Building and validating forecasting models
Knowledge of Agentic AI and Machine Learning
Nice-to-have
Strong people focus and interpersonal skills
Intellectually curious outlook challenging status quo
Product led thinking for reporting initiatives
Experience with unsecured personal loans domain
Ability to inspire inclusive team environments
Key Requirements
Minimum 3 years experience in data science
Proficiency in machine learning and modelling tools