Applied AI & Workflow Automation Apprentice
RANDSTAD GROUP UK
London (EC4A 1HP)
Closes in 9 days (Friday 27 March 2026 at 11:59pm)
Posted on 18 March 2026
Contents
Summary
Join a top London investment firm for this 20-month Data & AI Solutions Analyst (Level 4) programme. You’ll master the data lifecycle, from prompt engineering to generative AI visualisations, while building real-world automation tools for investment teams. Ideal for curious builders eager to lead in the age of AI.
- Wage
-
£32,500 a year
- Training course
- Data analyst (level 4)
- Hours
-
Monday to Friday, 9:00am – 6:00pm.
40 hours a week
- Start date
-
Tuesday 14 April 2026
- Duration
-
1 year 8 months
- Positions available
-
2
Work
Most of your apprenticeship is spent working. You’ll learn on the job by getting hands-on experience.
What you'll do at work
- Design and build automation workflows to streamline internal business processes.
- Integrate AI systems and LLMs into research and operational tasks.
- Develop structured prompt frameworks for specific financial and business tasks.
- Work with financial data APIs (such as Bloomberg) to create efficient data pipelines.
- Create simple user interfaces (GUIs) or internal dashboards using the Microsoft ecosystem.
- Collaborate with investment and sales teams to identify operational challenges and design solutions.
- Test and refine automation tools to ensure they are reliable for daily use by the firm.
- Manipulate and classify large datasets using specialized data wrangling tools.
- Apply Generative AI to create and validate data visualizations for stakeholders.
- Document evolving systems and workflows to maintain clear internal records.
Where you'll work
4 Bream's Buildings
London
EC4A 1HP
Training
Apprenticeships include time away from working for specialist training. You’ll study to gain professional knowledge and skills.
Training provider
PARETO LAW LIMITED
Training course
Data analyst (level 4)
Understanding apprenticeship levels (opens in new tab)
What you'll learn
Course contents
- Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
- implement the stages of the data analysis lifecycle
- apply principles of data classification within data analysis activity
- analyse data sets taking account of different data structures and database designs
- assess the impact on user experience and domain context on data analysis activity
- identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
- undertake customer requirements analysis and implement findings in data analytics planning and outputs
- identify data sources and the risks and challenges to combination within data analysis activity
- apply organizational architecture requirements to data analysis activities
- apply statistical methodologies to data analysis tasks
- apply predictive analytics in the collation and use of data
- collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
- use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
- collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
- select and apply the most appropriate data tools to achieve the optimum outcome
- Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
- implement the stages of the data analysis lifecycle
- apply principles of data classification within data analysis activity
- analyse data sets taking account of different data structures and database designs
- assess the impact on user experience and domain context on data analysis activity
- identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
- undertake customer requirements analysis and implement findings in data analytics planning and outputs
- identify data sources and the risks and challenges to combination within data analysis activity
- apply organizational architecture requirements to data analysis activities
- apply statistical methodologies to data analysis tasks
- apply predictive analytics in the collation and use of data
- collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
- use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
- collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
- select and apply the most appropriate data tools to achieve the optimum outcome
Training schedule
The training follows the Data & AI Solutions Analyst Level 4 standard, delivered over 20 months by Pareto.
Location: Training is a blend of classroom-based learning (face-to-face or virtual), digital e-learning, and on-the-job experience at the office in London.
Structure: You will attend structured training sessions and engage in monthly coaching and mentoring sessions with a dedicated Skills Coach to review your progress.
Curriculum: The programme covers 12 core modules, including The Data Lifecycle in the Age of AI, Prompt Engineering, and Visualising Data with Generative AI.
Certification: You will be supported to achieve the CompTIA Data+ professional certification as part of your journey.
End-Point Assessment: The final 2 months are dedicated to the Apprenticeship Gateway, where you will complete a work-based project and a professional discussion to finalise your qualification.
Requirements
Essential qualifications
GCSE in:
- English (grade 4/C)
- Maths (grade 4/C)
Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know.
Skills
- Communication skills
- IT skills
- Attention to detail
- Organisation skills
- Analytical skills
- Team working
- Creative
- Initiative
Other requirements
Credit Check.
About this employer
Our client is a London-based investment firm specialising in credit markets. Their team combines deep investment expertise with a highly analytical approach to research, portfolio management, and investor engagement.
As part of their continued development, our client is investing in AI-driven workflows, automation, and intelligent data tools to improve how their teams operate. They are building systems that integrate AI, financial data, and internal processes to make research and decision-making more efficient. As an apprentice, you will work in a professional, fast-paced environment, collaborating directly with their investment and sales teams to build practical, real-world solutions.
After this apprenticeship
The career progression for this role is designed to develop a specialist at the intersection of technology, AI, and financial markets.
Ask a question
The contact for this apprenticeship is:
PARETO LAW LIMITED
apprenticeships@randstad.co.uk
The reference code for this apprenticeship is VAC2000021758.
Apply now
Closes in 9 days (Friday 27 March 2026 at 11:59pm)