Data & AI Apprentice: Shape Smart, Ethical Analytics

Lloyds Banking Group

West of England

On-site

GBP 25,000 - 30,000

Full time

4 days ago
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Benefits offered by this job

Pension up to 15%
Annual bonus
Share schemes
Discounted shopping
22 days holiday + bank holidays
Wellbeing initiatives
Parental leave

Job summary

Lloyds Banking Group is offering an 18-month Data Apprenticeship in Bristol. You’ll learn to tame big datasets, identify patterns, and turn them into insights that inform safer, smarter banking.

The program covers SQL, Python, data visualisation, forecasting and AI‑driven analytics, with a strong focus on building practical data products for real-world use. You’ll work under a mentor and structured learning path, gaining hands-on experience while the company funds your Level 4 qualification.

Qualifications

  • GCSE at grades 4-9 in Maths and English (achieved)
  • 3 A levels at grades CCC (predicted or achieved)
  • Level 4 Data Analyst Apprenticeship with BPP (required)

Responsibilities

  • Dive into SQL and advanced data joins and transform data into insights
  • Engage in predictive modelling, forecasting and data visualisation to tell stories with data
  • Contribute to analytics lifecycles and data democratisation
  • Assist building data products that are used by stakeholders
  • Support ethical, accessible data practices and dashboards for leaders

Skills

SQL
Python
Visualisation
Forecasting
AI literacy
Applied analytics

Education

Level 4 Data Analyst Apprenticeship with BPP

Job description

Lloyds Banking Group is offering an 18-month Data Apprenticeship in Bristol. You’ll learn to tame big datasets, identify patterns, and turn them into insights that inform safer, smarter banking.

The program covers SQL, Python, data visualisation, forecasting and AI‑driven analytics, with a strong focus on building practical data products for real-world use. You’ll work under a mentor and structured learning path, gaining hands-on experience while the company funds your Level 4 qualification.

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