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Senior Data Science Analyst - Audit

Job in Bristol, Bristol County, BS1, England, UK
Listing for: Lloyds Bank plc
Full Time position
Listed on 2026-06-01
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Scientist, Data Security
Salary/Wage Range or Industry Benchmark: 49000 - 59000 GBP Yearly GBP 49000.00 59000.00 YEAR
Job Description & How to Apply Below

Job Details

Job Title:

Senior Data Science Analyst – Audit

Location:

Bristol or Edinburgh

Salary: £49,000 – £59,000

Hours:

Full-time

Working pattern:
Hybrid, at least two days per week, or 40% of time at an office site.

Responsibilities
  • Apply advanced analytics and data science techniques to evaluate the effectiveness of the Group’s control environment, providing assurance and identifying deficiencies.
  • Partner with other audit colleagues to assess risks and test controls, producing robust, defensible analyses, and help auditors to interpret results.
  • Seek out opportunities to use innovative data science techniques, such as Generative AI and Machine Learning, helping to identify new use cases and enhancing audit processes.
  • Establish relationships with internal audit teams to facilitate delivery of data science and analytics, whilst learning about the Group’s businesses, risks and controls.
  • Promote the use of data science and analytics in audit, upskill audit colleagues in data analytics, and contribute to department-wide presentations.
  • Identify opportunities for innovation, contribute to data science and analytics development projects, and help the function to be more data and AI driven.
  • Develop knowledge of the Group’s strategy, products and markets and take responsibility for professional development.
Qualifications
  • 2–3 years of experience delivering data science and analytics to support audits, or experience in a non-audit role with a proven grasp of internal audit or risk management.
  • Ability to understand business processes, risks and controls, and deal with ambiguity to deliver assurance and insights.
  • Proficiency in SQL and Python, with practical experience.
  • Knowledge of database and data warehouse concepts, analytics and core data science techniques.
  • Knowledge of visualisation techniques.
  • Experience presenting technical topics and complex analysis to a non-technical audience.
  • Desirable: experience with machine learning, Generative AI, Google Cloud Platform (GCP), Power BI.
Benefits
  • Reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns.
  • Disability Confident Leader: guaranteed interviews for a fair and proportionate number of applicants with a disability, long-term health or neurodivergent condition through the Disability Confident Scheme.
  • A generous pension contribution of up to 15%.
  • An annual performance-related bonus.
  • Share schemes, including free shares.
  • Benefits you can adapt to your lifestyle, including discounted shopping.
  • 28 days’ holiday, with bank holidays on top.
  • A range of wellbeing initiatives and generous parental leave policies.
Additional Information

Flexible working options are available, including hybrid working, job sharing, and variable hours.

Contact:

#J-18808-Ljbffr
Position Requirements
10+ Years work experience
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