This article is for those applying for an apprenticeship via their current employer. If you are a career starter applying for apprenticeship roles at a future employer, explore articles relevant to you here.
Overview
When you log into your account, you’ll find a list of Multiverse programmes that your employer has agreed to fund.
Please note: Remember that the options you can apply for depend on our agreement with your employer - not all of the options outlined below may be available to you.
Tips for Choosing the Right Programme
An apprenticeship is an amazing opportunity to learn new skills and gain insights, and we want to make sure you get the most out of your experience! Here are some tips to help you choose:
Check your current skills
Make sure there is a noticeable gap between what you already know and what you will learn in the programme. Apprenticeship programmes are designed for those eager to grow, so it's essential that you aren't overly familiar with the core material.
Think about how you might apply what you’ll learn
It’s super important that you can apply the new skills you gain in your day-to-day role. If you’re unsure about that, don’t hesitate to chat with your manager—they should be able to offer guidance and help you connect the dots.
Explore Multiverse Apprenticeship Programmes
Here’s a sneak peek at some of our programmes designed to help you grow and thrive:
Apprentices will learn how to best utilize data to inform business decisions and become advocates for data-informed practices in their teams and organization.
Apprentices will feel comfortable transforming data into insights and will learn softer skills like building narratives and presenting findings to ensure their day-to-day work is consistently backed up by data.
Apprentices will learn how to turn raw data into meaningful insights organizations can act on, growing into high-performing data analysts and data science professionals.
Apprentices will feel comfortable cleaning, manipulating, and visualizing data. They will also learn to use data for prediction and forecasting tasks, such as predicting a business outcome or using historical data to predict future business needs.
Apprentices will learn how to become competent data leaders and data scientists by mastering key technologies involved in digital transformation.
Apprentices will learn DevOps principles and develop skills in application design, data solutions, and data governance. They will also develop skills in machine learning algorithms, data mining, natural language processing, applied statistics, and efficient project management.
Apprentices will learn how to deliver strategic initiatives with an agile mindset and drive change in an evolving digital workplace.
Apprentices will learn how to drive digital change initiatives by defining business objectives, identifying opportunities for change, modelling business changes, and making data-informed decisions. They will hone skills in project management, stakeholder communication, change implementation, impact assessment, continuous improvement, and business case presentation.
Apprentices will learn how to identify business value gains that can be achieved through using AI and execute ethical AI projects, through best practices in stakeholder engagement and change management.
Apprentices will cover everything from the fundamentals of responsible AI to how to capture and communicate business value.
Apprentices will learn how to effectively leverage Generative AI tools to enhance workplace productivity, promote AI literacy, and advocate for responsible and ethical AI usage within their organizations.
Apprentices will learn how to develop effective prompts for Generative AI, manage data privacy and security, analyse data for insightful business decisions, enhance communication strategies, and champion the responsible adoption of AI tools to drive innovation within their organizations.
Apprentices will learn how to effectively lead diverse teams, foster a culture of inclusion and innovation, and implement strategic thinking to drive continuous improvement within their organisations.
Apprentices will learn how to communicate effectively, enhance emotional intelligence, build diverse teams, develop strategic plans, apply coaching techniques, and utilize project and financial management skills for successful business execution.
Apprentices will learn how to excel in full stack development and navigate the software development lifecycle, equipping them with the technical skills and practical experience necessary to thrive in agile environments.
Apprentices will learn how to design and implement web applications, utilize modern programming languages and frameworks, collaborate effectively in teams, and apply problem-solving techniques to real-world coding challenges.
Apprentices will learn how to drive complex software engineering projects, focusing on software transformation, cloud solutions, and testing methodologies.
Apprentices will learn how to implement secure coding practices, design and manage databases, leverage machine learning and AI, and lead software transformation projects using Agile methodologies.
Frequently Asked Questions
I am interested in the Advanced Data Fellowship but I’m unsure how I would use Python in my role
Python is a versatile programming language that can be used in a variety of roles within a company. It simplifies data analysis and manipulation through libraries such as pandas and NumPy. It’s also great at automating routine tasks, including report generation and database updates. With its web scraping capabilities, Python is a valuable tool for accumulating data from various online resources too. Its database interfacing abilities are handy for roles requiring regular data management. Moreover, with Python's machine learning capabilities, making future predictions based on existing data becomes easier thanks to its compatibility with libraries like Scikit-learn and TensorFlow.
I am unsure which of your data programs would be a better fit for me, how do I know?
Our data programs cater to different data needs and data users within a company. Determining which programme best fits your role will depend on how often you work with data and how you use that data:
Data & Insights for Business Decisions: Data helps you in your day-to-day work but is not the main focus of your role. You want to learn to clean, manipulate, and visualize data to understand it and be able to draw insights to support your work.
Data Fellowship: Data makes up a large part of your daily activities. You’re not just cleaning, manipulating, and visualizing data, you’ll also use it for prediction and forecasting tasks, such as predicting a business outcome or using historical data to predict future business needs.
Advanced Data Fellowship: At least half or more of your working hours are spent with data. Your role will go beyond that of a data analyst and will be geared towards becoming a data scientist and data leader in your organization. This is a 3.3-year program, so if you are not able to apply the more technical learnings right away, that is fine. As long as you can begin to apply them by the second and third year of the programme, this option could be right for you!