At Multiverse, we’re creating a new way to unlock digital transformation, close skills gaps and build diverse talent pipelines.
We work with over 1,000 companies, helping them address the business challenges that traditional hiring and training methods won’t solve. Our approach is simple – we source, train, and retain exceptional under-represented talent through professional apprenticeships.
We offer our programmes to those at the start of their career and existing employees at various employers looking to upskill or reskill across digital, data & AI. Apprentices benefit from personalised coaching, applied learning, and a community of social, networking and leadership opportunities.
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Main office address
2 Eastbourne Terrace,
London
W2 6LG
Key Products / Services / Sectors (USPs)
Key features and benefits of all our apprenticeships programmes are:
1. Applied learning – individuals learn new skills and exercise those skills by practicing and applying them in a role
2. Expert coaching – 1-to-1 coaching from industry experts, for the apprentice and their apprentice manager
3. Global community – access to the Multiverse community, with a huge range of groups, networks and events
4. Durable skills – foundational skills that support holistic professional development
5. Accredited qualification – apprentices gain accredited qualifications needed to progress in a chosen industry
6. Levy-funded: https://www.multiverse.io/en-GB/the-levy
Our programmes cover a range of data, technology and business skills.
1. Data
1.1 Data Literacy
1.2 Data Fellowship
1.3 Advanced Data Fellowship
2. Technology
2.1 Software Engineering
3. Business
3.1 Digital Business Accelerator
3.2 Business Transformation Fellowship
The length and depth of the programme varies, you can learn more here:
Services
User Focus
Technical users
Non-technical users
Internal users (enterprise)
External end users (consumers)
Managed services
Educational users
Self-service
Raw data
Data engineering services
Data infrastructure
Data cleansing services
Data export services
Data frameworks
Data mining services
Data ingestion services
IoT data solutions
API connectors
Derived data
Data science services
Data analysis services
Data warehouse solutions
Data lake solutions
Enterprise application integration
ETL services
Cloud service derived data
Image data services
Mobile analytics
Generated datasets
Algorithms
Algorithms as a service
Machine learning services
Smart navigation
Streaming Services
Synthetic data generation
Cognitive search
Chatbots & digital assistants
Model training services
Machine learning libraries
Decision support
Data visualisation
Augmented intelligence
Business intelligence
GRC platforms
GDPR compliance platforms
Test analytics
Guided learning
Product analytics
Web analytics
Sales analytics
Marketing analytics
Forecasting services
Data Literacy
Automated decision making
ADM platforms
ADMS services
Artificial intelligence as a service
Machine translation
Automated advertising placement
Automated advertising personalisation
Compliance automation
Automated exception reporting
User interface
API
Dashboard
Visualisations
Web elements
Mobile
Wearables & IoT
AR & VR
E-Learning
Testimonials
"The Multiverse Data Fellowship programme is integral to our data and digital transformation strategy and I'm continuously impressed with the quality of outputs we see from the apprentices.”
Charlie Batten, UK Head of Data & Digital Business Transformation, CBRE
“Skill sets gained through Multiverse go a long way in providing efficiencies to the NHS, with apprentices reporting a 24% efficiency increase when working with data after completing the programme. It has also enabled us to invest in our employees and their futures and is a fantastic opportunity for those looking to hone their data skills or reskill into a data role, as well as those at the very start of their career.”
Ming Tang, Chief Data and Analytics Officer, NHS England
“By upskilling individuals to become data efficient in their varied roles and functions, meant that they could move the business forward and deliver products and services without dependency on the data analytics and science team. That’s where apprenticeships come into play.”
Ryan Keane, VP of Data Analytics, WGSN
Clients
