Senior Data Science Analyst - Audit

End Date Thursday 04 June 2026

Salary Range £0 - £0

We support flexible working –  for more information on flexible working options

Flexible Working Options Hybrid Working, Job Share

Job Description Summary .

Job Description

JOB TITLE:

Senior Data Science Analyst - Audit

SALARY: £49,000 - £59,000

LOCATION(S):
Bristol or Edinburgh

HOURS:

Full-time

WORKING PATTERN:
Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites

About this opportunity

At Lloyds Banking Group, we have a clear purpose; to help Britain prosper and to become the best Financial Services provider for our customers.

Through our brands, our Group has a relationship with just about every household and community in the UK. We underpin the lives of millions of individuals and businesses and play a key role in helping to build a growing UK economy.

Group Audit provides independent assurance to the Board over the highest areas of risk across the Group , reporting on the effectiveness of the Group’s control and governance processes . We are focused on d riv ing i nnovation t hrough g reater u se of d ata , AI and automation, and are looking for a new colleague to join our specialist AI, Data & Engineering (AIDE) team .The

successful candidate will have a passion for applying data science techniques to new scenarios, support ing delivery of our audit plan, provid ing insights, and driv ing innovation within Group Audit. This is a hands-on and varied role within a skilled team of data scientists , engineers and auditors , highly visible to senior management and with exposure to the entire Group.

We're dedicated to giving you opportunities and support to develop you both professionally and personally to optimise your potential! As a new colleague to the team, you’ll join us on our journey to build a 21st century bank that reflects modern Britain and craft an inclusive culture where all colleagues feel encouraged and valued.

Day to day, you will:

Apply advanced analytics and data science techniques to evaluate the effectiveness of the Group’s control environment, providing assurance and identifying deficiencies.

Partnering with other audit colleagues to assess risks and test controls, producing robust, defensible analys e s, and help auditors to interpret your results .Seek out opportunities to use innovative data science techniques , such as Generative AI and Machine Learning , helping to identify new use cases and enhanc ing the way we audit .Establish relationships with our internal audit teams to facilitate the delivery of data science and analytics, whilst learning about the Group’s business es , risk s and controls.

Promote the use of data science and analytics in audit, upskill audit colleagues in data analytics , and contribute to department-wide presentations .I dentify opportunities for innovation , contribute to data science and analytics development projects, and help the function to be more data and AI driven.

Develop your knowledge of the Group’s strategy, products & markets and be responsible for your own professional development.

Why join us?

We’re transforming esting billions in our people, data and tech to change the way we meet the needs of our 28 million customers. We’re growing, and we’d love you to be part of the journey!

What we're looking for :2-3 years' experience delivering data science and analytics to support audits. Alternatively, experience using data science and analytics in a non-audit role with have a proven grasp of internal audit or risk management .Ability to understand business processes , risks and controls, deal ing with ambiguity to ensure you deliver assurance and insights that make a difference.

P roficien cy in SQL and Python , with experience us ing both in a work context.

Knowledge of database and data warehouse concepts , analytics and core data science techniques .Knowledge of visualisation techniques.

E xperience presenting technical topics and complex analysis to a non-technical audience.

And any of these would be great:

Experience with machine learning , Generative AI and Google Cloud Platform (GCP) is desirable.

Experience with Power BI is…