At a Glance
- Tasks: Dive into data, learn SQL, Python, and turn insights into action.
- Company: Join Lloyds Banking Group, the UK's biggest digital bank.
- Benefits: Earn £27,400, enjoy flexible working, and get fully funded qualifications.
- Other info: Dynamic apprenticeship with mentorship and career growth opportunities.
- Why this job: Shape the future of banking with data and AI while making a real impact.
- Qualifications: GCSEs in Maths and English, plus 3 A levels at grades CCC.
The predicted salary is between 27400 - 27400 £ per year.
Please note, this site is only for external candidate applications. If you currently work for Lloyds Banking Group please apply via the internal career site.
In order to complete an apprenticeship there needs to be a significant learning need. You need to consider your previous qualifications or significant relevant work experience which may mean you cannot proceed with this application.
We support flexible working – click here for more information on flexible working options.
Our apprenticeship programmes may close early if we receive a high number of applications, so it’s best to apply as soon as you can.
If you have any questions, please do contact the team at lloydsbankinggroup@cappfinity.com.
Duration: 18 months
Salary: £27,400
Location: Birmingham
Start: September 2027
Qualification: Level 4 Data Analyst Apprenticeship with BPP.
Your data journey starts here. At Lloyds Banking Group, data isn’t just numbers on a screen. It’s the fuel for every decision we make, every problem we solve, every idea that takes us forward. We’re the UK’s biggest digital bank, with 23 million customers logging in, tapping and scrolling every day. And with £3bn a year going into cloud, AI and analytics, we’re serious about data shaping the future.
As a Data Apprentice, you’ll learn how to tame big, messy datasets, spot patterns no one else can see, and turn them into insights that make banking smarter, safer and simpler. Along the way, you’ll dive into:
- SQL and advanced data joins
- Predictive modelling & forecasting
- Data visualisation & storytelling
- Analytics lifecycles & data democratisation
- Statistical programming languages
- Building data products people actually use
By the end, you won’t just know data. You’ll live and breathe data.
The impact you could make:
- Spot patterns that stop fraud before it happens
- Help millions of customers make smarter money choices
- Build dashboards that leaders can’t live without
- Make data accessible, ethical and useful for everyone
Your skills toolkit:
- SQL, Python and other stats superpowers
- Visualisation that makes people go “ohhh, now I get it”
- Forecasting and modelling
- AI literacy and applied analytics
- Turning complexity into clarity
Support in your corner:
- Blended learning: real projects + classroom theory
- Time carved out just for your development
- A mentor, a manager and a buddy
- A community that shares your passion and goals
Your future. Fully funded. We’ll cover your salary and fully fund your qualifications, setting you up for success with a level 4 apprenticeship in Data and AI. You’ll gain hands-on experience working with some of the UK’s largest and most complex datasets and develop versatile skills that open doors across analytics and AI.
Requirements:
- You’ll need to be at least 18 years old on the 1st of September 2027
- GCSE at grades 4-9 in both Maths and English (achieved)
- 3 A levels at grades CCC (These grades can be predicted, but any offer made to you will be conditional upon successful achievement of these qualifications)
Important information:
- An additional requirement for the apprenticeship position is that you must currently possess a valid Right to Work in the UK.
- Your visa end date must extend beyond the duration of the apprenticeship programme, which will last up to five years.
- Due to Home Office requirements regarding Skilled Workers, we’re unable to accept applications for visa sponsorship for our apprenticeship roles as the proposed salary for the role does not meet the minimum threshold.
This apprenticeship is based in Birmingham, and you will be expected to work from your primary office location throughout the programme. While our hybrid working policy requires office attendance at least two days per week, apprentices are expected to be in the office most days during the initial settling-in period.
If your commute exceeds 1.5 hours, we strongly recommend relocating closer to the office to ensure consistent attendance in line with contractual and hybrid working expectations.
About working for us:
Our ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and communities and we’re committed to creating an environment in which everyone can thrive, learn and develop.
We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer Initiative.
We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns.
And, as a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role with a disability, long-term health or neurodivergent condition through the Disability Confident Scheme.
We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers. Just let us know what you need.
Salary: You will join us on a fixed apprenticeship salary. Upon successful completion of the apprenticeship, you will be re-graded, with your pay range consistent with the job family for your business area.
We also offer a wide-ranging benefits package, which includes:
- 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, such as discounted shopping
- 22 days’ holiday, with bank holidays on top
- A range of wellbeing initiatives and generous parental leave policies
The closing date to apply for this opportunity is 1st December. Our roles generate a lot of interest, and occasionally we need to close applications earlier than originally advertised. If you think working with us could be right for you, please apply now and see where an apprenticeship with us can take you!
If you have any queries regarding the recruitment process, please email lloydsbankinggroup@cappfinity.com and a member of our team will be happy to help and will reply within 3 working days.
What happens next? Submit your application → Complete the online assessments → If successful, attend the Assessment Centre in March → Receive your outcome.
At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop.
We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we’re building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.
Applied Data and AI Apprentice - Birmingham employer: Lloyds Bank
At Lloyds Banking Group, we pride ourselves on being an exceptional employer, offering a supportive and inclusive work environment in Fort William. With a strong focus on employee growth through our Skill Progression Framework, we provide ample opportunities for career advancement while ensuring a healthy work-life balance with flexible working options. Our comprehensive benefits package, including generous pension contributions and wellbeing initiatives, reflects our commitment to the well-being of our colleagues, making us a great place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land Applied Data and AI Apprentice - Birmingham
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Lloyds Bank!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Applied Data and AI Apprentice - Birmingham at Lloyds Bank.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Lloyds Bank.
✨Apply Directly through Our Website
When you find a suitable opening like Applied Data and AI Apprentice - Birmingham at Lloyds Bank, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Applied Data and AI Apprentice - Birmingham
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Lloyds Bank, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Lloyds Bank. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Lloyds Bank
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Lloyds Bank!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
