The Multiverse blog

At Multiverse, we are working hard to create the change we want to see in the world. We’re proud that 55% of our UK team identify as women, and this increases to 64% of our Global Leadership Team (director level and above). In our Tech team 36% identify as women - while this is higher than the UK Tech industry, we know we need to do more. This blog post aims to celebrate the contributions and perspectives of four exceptional women helping to shape Tech at Multiverse.

Aishwarya's journey, from rural India to being a Senior Software Engineer at Multiverse, is a testament to her passion for problem-solving and the transformative power of technology."In the rural parts of India where I grew up, problem-solving and mathematics were my escapes, and my journey started when my father gifted me a laptop during my childhood. This sparked my curiosity and passion for technology," Aishwarya says.

Aishwarya believes that the tech industry's most rewarding aspect is its profound societal impact, especially in her role at Multiverse, where she works on projects aiming to bridge the tech skills gap. "Witnessing the transformation of people's lives, especially those who couldn't afford traditional education, is incredibly fulfilling,” she explains.

Looking ahead, Aishwarya imagines exciting possibilities for the future of the tech industry, where technology is used as a tool to address real-world challenges and contribute to positive societal changes.

Her advice for anyone interested in pursuing a career in tech? "Embrace curiosity and continuous learning," she advises, "Engage in real-world projects, network with industry professionals, and find your passion within the realm of technology."

For Mireia, her passion for mathematics led her naturally to a career in data science and she particularly enjoys using “mathematical models in real-world scenarios.”

Among the most rewarding aspects of her career, Mireia highlights the sense of achievement in seeing a project through to completion. She’s also excited by ’ the rapid advancements unfolding in the AI space, and how this will likely change the look of everyone’s lives and work going forward.

When asked what advice she would give to somebody considering a career in data science, Mireia keeps it straightforward: "Always continue learning." This aligns with the Multiverse value of ‘development is at our core’, which we know is crucial to a successful and fulfilling career.

"I’ve always been interested in dissecting details and spotting patterns," Ellena says, "The process of researching, spotting trends, and deciding what story to tell via aggregated information is surprisingly similar to creating a robust essay or report."

Her passion for data analytics fuels her current role at Multiverse, where she utilizes her talents to facilitate productive discussions and bring actionable outcomes for our customers.

As for the future, Ellena is most excited by the emerging potential of AI to increase productivity, enhance the understanding of customer sentiment, and help to make informed decisions using big data.

"If you're considering a career in data and analytics," Ellena advises, "make sure to research, talk to people in the industry, understand what you enjoy (whether it's the research aspect, cleaning data, storytelling, or all of it), take learning courses, and build a network. It’s useful for learning, demonstrating interest, and problem solving!"

Sara has found the perfect sweet spot between her knack for creativity and a more practical, functional role in the product design world.

"The challenging, shifting landscape of the tech world thrills me," Sara affirms, "The creativity that comes with coding and working with a team to turn ideas into reality seems like the perfect compromise between working in industry and being an artist."

When asked about the most rewarding part of her work, Sara speaks highly of her colleagues. "Working with incredibly talented people who challenge me every day and make me strive to be better".For Sara, one of the most exciting things about the tech industry is its constant dynamism; the industry is always on the move, continually advancing, which means there’s always something new to learn and adapt to.

Sara's advice to young women considering a career in tech is unequivocal: "Be brave and bold. There’s a space in the tech industry for us, too."

These inspiring stories underscore that the tech industry is a dynamic field populated by passionate, bold, and brilliant individuals. The contributions of women in tech enrich the industry and influence a more balanced, inclusive future.

If you’re looking to join our growing Tech team, check out our live roles.

The training, which will be delivered by the tech company Multiverse, aims to enhance the Partnership's digital capabilities, making it more data-driven, and ultimately improve patient outcomes and services.

The initiative is part of NLMHP's strategy to upskill its workforce with an emphasis on intelligent use of data to drive improvements and efficiencies.

Sarah Wilkins, Chief Digital Information Officer at NLHMP says ‘‘being part of this initiative means understanding of our data and insights will be embedded through the organisation, enabling us to enhance our services and improve patient and service user outcomes. Not only will it drive operational efficiency, but it will also serve as a stepping stone in our commitment to professional development for our staff."

Multiverse has worked with more than 10,000 apprentices in areas such as data analytics and software engineering.

This is only just the start of the journey, NLMHP will enrol another 50 employees onto the Academy in March to embed cultural change across the Partnership.

Peppa Wise, Vice President Go To Market at Multiverse, said, " The nature of healthcare is changing. Tech and data have the potential to help all of us lead healthier lives.

“Through this partnership, NLMHP is not only investing in its operational efficiency to better support patients and service users, but it is also nurturing its workforce with cutting-edge data skills. This step will enhance patient services and outcomes, reflecting the growing embrace of a data-driven approach across the NHS."

Multiverse’s ‘Best Places to be an Apprentice’ ranks areas using criteria from government and ONS data including the number of apprentices per business, growth in the number of new apprentices, the area's employment rate, and how affordable renting is across the towns and cities.

The analysis found that Wigan, Stoke-on-Trent, and Newcastle-under-Lyme are the top three areas to be an apprentice in England.

All three topped the list by scoring consistently highly in every category, particularly for the high number of apprentices per business.

The affordability of properties for apprentices to rent means that nine of the top 20 places are in the North of England, whilst London does not feature at all. Three areas are in the North East, three in the North West, and three in Yorkshire and the Humber. This compares to just four in the South East and one in the South West.

The analysis shows that the opportunity for apprentices stretches beyond big cities. Towns dominate cities in the ranking, with only five of the top 20 places being cities: Stoke, Plymouth, Hull, Southampton, and Sunderland.

Euan Blair, CEO at Multiverse, said: "Apprenticeships are an incredible vehicle for social mobility across the UK - and at Multiverse we’re proud to have apprentices in every corner of the country. Access to our apprenticeships has been unlocked by the use of tech to scale our offering nationwide and has allowed us to reach often overlooked areas.

"The spread of opportunities supports our belief in the ability for apprenticeships to be the tool that enables equitable access to economic opportunity, for everyone.”

For employers aiming to encourage talent back to the workforce, or transition employees into new roles, upskilling and reskilling initiatives offer a vital solution.

We explore how Citi, the global bank, is opening new pathways for individuals to return to work, start a career, or change roles within the financial services industry – while supercharging their development through the power of data skills.

About Citi’s Reactivate Your Career Program

Designed for those returning to work after a career break lasting more than two years, Citi’s program offers job opportunities across a wide range of roles, including operations and technology.

Participants benefit from a tailored professional development package and complete a qualification to enhance their skillsets. Since 2020, Citi has partnered with Multiverse to provide data skills training to participants.

“We believe it’s vital to have a workforce that reflects a diverse range of backgrounds, perspectives, and experiences,” says Jacqui Lloyd, Head of Apprenticeships and DEI Execution at Citi. “Through the Reactivate Your Career program, we’re committed to helping people return to careers they love or carve out a new path in the dynamic financial services industry.

“Apprenticeships are an important tool we leverage to develop future leaders and build critical skills for Citi. In our ongoing partnership with Multiverse, we’ve created career-accelerating opportunities for workers at all stages. We’ve seen first-hand how empowering our colleagues with data skills delivers impactful results and tangible advantages across the business."

Transformative opportunities with data upskilling

Whether they’ve taken time out for family or personal obligations, or simply to reassess their career path, the program is helping a wide range of individuals navigate their way into different roles in financial services.

At the same time they receive further training in high-demand data skills, helping them to transform data into insights and make informed business decisions.

Srilakshmi’s story

Srilakshmi joined Citi’s program in a project management role and completed a data qualification with Multiverse. She found the benefits went far beyond finding her footing back in the professional world.

“When I had my second child, I decided to take a break to prioritise my family. After three years, it felt like it was the right time to get back to work,” she said.

“What stood out to me about [Reactivate Your Career] is that it's not only about getting back to work, it's also about upskilling. Not only am I back at work, I'm also learning something new through the data program. The best part about the apprenticeship is taking those concepts and applying them to your work.”

Driving business impact with data literacy

Participants are leveraging their new skills to drive change in teams across Citi, making strides by streamlining processes, enhancing efficiencies, and crafting data visualisations. 100% of line managers said participants had created business impact for Citi using their new data skills.

Saloni’s story

Saloni is an IT project manager at Citi. Having completed a Multiverse data literacy apprenticeship during the program, she now uses her enhanced Tableau skills to create time-saving algorithms, automating monthly processes that used to be manually done.

“The skills taught on this course have backed up the incredible on-the-job training and work I’ve done in my role at Citi,” she said.

The result? She’s achieved an impressive efficiency boost of 80% when working with data and has been praised by her internal stakeholders.

“Through the Multiverse course, Saloni has also acquired a very good understanding of handling data which positions her to lead related projects within our stream,” said her line manager.

Empower your teams with the skills of the future

Find out more about opportunities at Citi at jobs.citi.com.

We’re opening our entry-level apprenticeships to people of any age for the first time: enabling people in their 30s, 40s and 50s to restart their career, change direction, or even enter the workforce for the first time.

More than 50% of our apprentices are currently over the age of 30 on upskilling and reskilling programmes, and we know the benefit apprenticeships can have for those of any age.

That’s why, now, all of our apprenticeships are open to anyone: whether you’re entering the workforce for the first time, reskilling into a new career or industry, or uplevelling your skills.

Euan Blair, CEO of Multiverse, said: “There’s long been a belief that apprenticeships are only for young people. This isn't true: apprenticeships can support a broad range of people at multiple stages in their lives to control the trajectory of their careers.

“Our mission is to provide equitable access to economic opportunity for everyone. Supporting people of any age to access apprenticeships is another step towards delivering this.”

In December, our research found that more than 5m UK workers over the age of 50 are considering retiring early, creating a large risk to an already strained workforce: many of whom are concerned about not having the modern skills employers are currently looking for.

Blair said: “The changing tech landscape proves that people of all ages need new skills, and the opportunity to reimagine what their career can be. Whether someone is 16 or 60, we want to use apprenticeships to support them to build meaningful, sustainable, and well paid careers."

Minister for Skills, Apprenticeships and Higher Education Robert Halfon said: “Apprenticeships are for everyone, at all ages and stages of their career. So, it is brilliant news that Multiverse is removing all age restrictions from their apprenticeships, enabling more people to retrain and upskill later in life. Multiverse understands the wealth of benefits apprentices bring to businesses across the country.

“Apprenticeships are crucial to giving people from all backgrounds the chance to gain the skills they need to unlock their potential while addressing skills gaps and helping to grow our economy. That’s why we’re increasing investment in apprenticeships to 2.7 billion available by 2024/25, extending the skills ladder of opportunity to all.”

Over 70 members of staff have enrolled on the programme to date, with a fourth cohort about to launch in March. Training is delivered through professional apprenticeships by tech start-up Multiverse and funded through the Government’s Apprenticeship levy.

Employees are enrolled on one of three data apprenticeships, including up to degree-level.

• The 13-month Data Literacy programme covers the core technical skills required to transform data into insights, as well as softer skills like building narratives and presenting findings.
• The 15-month Data Fellowship course will give apprentices the skills to clean, analyse and model data, and tell data stories to non-specialists.
• The degree-level Advanced Data Fellowship will empower apprentices to develop their skills in data analysis and data science, studying areas like statistical testing, data ethics, predictive modelling and data security.

Research by the UK Government has found that almost a quarter of employees use advanced data skills in their work, yet a shortage of skills in this area is estimated to cost UK businesses £2bn a year.

New data skills are unlocking valuable insights about the needs of residents and communities, enabling the Council to deliver focused digital and transformation programmes. Services are benefiting from a saving in staff time on data management tasks and the Council is seeing wider impact from the creation of the new, Council-wide Data Hive network, supported from the central data hub.

Simon Riley, the Council’s Chief Operating Officer said: “A key focus for us across the Council is to use data and insight to inform strategic decision making. Accurate and up to date data has never been more important for us and accessing the right tools, technology and trained staff to make the most of that data is essential.”

Multiverse delivers world-class training in a wide range of qualifications in tech, data, and engineering. Apprentices benefit from one-to-one coaching with an industry expert and are supported by a thriving community with events, socials, mentoring and leadership programmes.

Peppa Wise, Vice President of Go to Market at Multiverse, said: "Working efficiently with data is absolutely vital for all organisations - and for local authorities it's essential for delivering high quality services to residents. Cheshire West and Chester Council is expanding its skills in this space through its Data Academy. Apprentices benefit from Multiverse’s intensive coaching and applied learning, to develop rich skills in the most high-demand areas that will serve them for their career."

The launch comes as difficulty in accessing talent continues to be a key concern for employers - with 95% of tech employers experiencing skills shortages in 2023, according to data from the Hays UK Salary Guide. Hays is working with Multiverse to co-deliver the ‘Data Analysis and Business Transformation Academy’ which empowers undiscovered talent with skills such as data analytics, communication, machine learning and project management, through level 4 apprenticeships.

Those who successfully join the academy are paid during the initial training period, which is front-loaded into a 10–12-week intensive bootcamp at the start of the apprenticeship.

Upon completing the bootcamp, individuals will work at Hays' partner organisations for the remainder of their apprenticeship, gaining accelerated experience within a variety of different markets whilst delivering impact and transformation for the organisations they are deployed with. Each apprentice taking part in the academy will also have the opportunity to go on to gain further qualifications and secure a £10,000 bonus upon successfully completing the 2-year programme.

The first cohort of individuals have already enrolled in the academy in January, with a further 25 enrolling in March.

Harry Gooding, Director of Skills and Learning at Hays, said: "This new academy is a game-changer in the talent world and offers the chance for businesses to access much needed skills from individuals who can create real value from day one.

For the individuals, it’s an opportunity to access world-class training, regardless of qualifications – enabling high potential people from all backgrounds to thrive at the most exciting companies.”

Peppa Wise, VP GTM at Multiverse, said: "Our mission is to provide equitable access to economic opportunity for everyone - and this new academy from Hays will enable people to access world-class training and unlock great careers, regardless their educational background or career history."

The academy fits as part of Hays’ Skills and Learning offering which provides an alternative route for individuals to access tech careers, widening access to high skilled roles for undiscovered talent from disadvantaged backgrounds.

The training is delivered collaboratively by Hays and Multiverse. Multiverse is a tech company focused on high-quality education and training through a unique professional apprenticeship model. Multiverse delivers apprenticeships in areas such as software engineering and data analytics.

The 3Cs Defined

Our 3Cs framework simplifies and reinforces what we look for in our candidates:

1. Capability: Demonstrates the required hard/technical skills and competencies necessary to do the job well, exhibits the ability to think critically and handle complex tasks effectively, and possesses the necessary knowledge and experience to excel in their role.
2. Coachability: Shows a willingness and eagerness to learn, develop, and grow in their role, accepts and implements feedback effectively, utilising it as a tool for improvement, and demonstrates self-awareness and the ability to reflect on personal growth.
3. Character: Displays resilience, discipline, work ethic and a positive attitude in the face of challenges, proven history of driving towards long term goals and a relentless pursuit of excellence, acts with integrity, ethical conduct, and a collaborative spirit, embraces diversity, and contributes to a positive work environment.

Key principles of the 3Cs

1. Simplicity scales: This framework cuts through ambiguity and offers a clear guide to what we seek in a candidate. It’s designed to be easily understandable and utilised by our hiring team and our candidates.
2. Values alignment: It's fundamental that the people we bring onboard align with our core values and contribute positively to our work culture.
3. Data driven: The 3Cs enables a measurable and equitable hiring process for every candidate, and drives continuous improvement in our hiring strategy over time.

Through the 3Cs framework, our goal is to attract and hire people who will thrive in our unique environment. The characteristics we've identified reflect a balance of critical skills, leadership potential, growth mindset, and shared values: the foundations for a successful career at Multiverse.

If the 3Cs resonate with you, we’d love to receive your application. We’re on a mission to provide equitable access to economic opportunity, for everyone. Join us?

Data science may be a good fit if you have technical skills and enjoy spotting patterns. It's also an in-demand specialism that commands above-average pay.

A 2021 study estimated there were at least 178,000 unfilled data specialist roles in the UK. Cut to 2023, and the availability of employees with these skills still doesn't match the demand. Aside from being a high-growth role, the average Data Scientist's salary is on the higher end — even for entry-level roles. If that all sounds appealing, keep reading to learn more about this field.

What is data science?

Data science aims to uncover meaningful insights from data. As a discipline, it uses mathematics, statistics and computer programming practices to achieve this. People who work in data science must also understand technology like artificial intelligence (AI) and machine learning algorithms.

Companies rely on data science specialists to help them gather, clean and organise data so they can make sense of it. Organisations can then access the data insights needed to improve decision-making and enhance products. Data science also helps companies solve complex problems and find growth opportunities otherwise hidden in raw data.

What is a Data Scientist?

A Data Scientist is a practitioner within the data science field. Data Scientists are similar to Data Analysts. But how these professionals use data is different.

Like Analysts, Data Scientists spot key trends, patterns and anomalies in business data. However, Data Scientists use more advanced mathematical and programming techniques. So, they may build custom programmes to automate data collection rather than rely on pre-built solutions.

Data Scientists also help uncover which questions companies must ask to solve problems and encourage growth. They then use data to help companies find answers to these questions. Because the role is technical and business-focused, Data Scientists must be technically and commercially minded.

A Data Scientist's responsibilities may include:

• Collecting, cleaning and organising raw data
• Using coding languages like Python to edit and analyse data
• Creating predictive models to forecast future business outcomes
• Building programmes that automate data gathering and processing
• Communicating data insights to non-technical colleagues
• Understanding business pain points, challenges and priorities
• Using data analysis methods to answer business-critical questions
• Keeping up with industry standards, tools and emerging technology like AI

Why does data science matter?

The World Economic Forum (WEF) forecasts Data Scientists will land in the top 10 fastest-growing roles from 2023 to 2027. But we don't need to look to the future to know that data science matters — data science skills are already in demand.

Research by The Department for Culture, Media and Sport (DCMS) shows 48% of UK businesses are "recruiting for roles that require hard data skills." Machine learning, programming, and advanced statistics are examples of the required skills. All of these are heavily involved in the data science landscape.

Given the business potential, the demand for data science skills within the workforce isn't surprising. Organisations can leverage data science to drive innovation, create efficiencies and encourage growth. And with ever more data at their fingertips, companies need people who can tell the stories it holds.

Business benefits aside, rapid technology advancements, alongside the sheer volume of data now available, mean data science is no longer a 'nice to have.' To stay competitive, organisations must be more innovative with how they use data. Many are already bridging this gap by investing in data science specialists, tools and infrastructure.

What is the data science process?

The data science process is a series of steps that help you solve a problem, gain insights and improve business outcomes using data. There are different types of data science processes — the one you use will depend on the project, task and company preferences.

CRoss Industry Standard Process for Data Mining (CRISP-DM) is a common type of data science process. To use CRISP-DM, you'll typically follow these steps:

1. Business understanding: You work with colleagues and stakeholders to determine business needs and goals. Finding better ways to market to specific customers is an example of a business goal.
2. Data understanding: You gather the data you need or already have and identify what needs to happen to it next. You may need to clean the data first, for example.
3. Data preparation: You decide how best to prepare the data for modelling. That could mean dividing your data into specific categories.
4. Modelling: You choose the modelling techniques you'll use based on the nature of the problem.
5. Evaluation: You review the performance of the models in line with the original business goal.
6. Deployment: You add the models into a production environment, including integrating them into existing systems. You also show stakeholders how to access any results.

Data science tools

Many tools can help you with data science tasks, and the ones you use will change depending on the nature of the task. That said, Microsoft Excel, Python, and Tableau are examples of everyday data science tools. Let's take a look at each.

Microsoft Excel

From simple analysis and reporting to finding complex insights from multiple datasets, Excel is an asset to any data scientist's toolkit. Excel's pivot tables and formulas are also handy for quick data exploration. Another useful feature of Excel is the ability to automate smaller, manual tasks like data cleaning.

Python with libraries

Python is a versatile programming language commonly used in data science. Data Scientists use Python to wrangle, cleanse and edit data. You can also use it to develop business insights based on statistics. You can use a Python library like Pandas for data manipulation and analysis. Meanwhile, other libraries like Seaborn and Matplotlib help with data visualisation.

Tableau

Tableau is a popular Business Intelligence (BI) tool. Data Scientists use it to connect to different data sources and share insights throughout a company. You can also use BI tools like Tableau to visualise and present data insights in ways that non-technical colleagues can understand.

Data science use cases

From driving efficiencies to data analysis, here's how UK companies use data science to impact business outcomes.

Creating efficiencies

Morgan Sindall Infrastructure delivers some of the UK's most complex and critical infrastructure. The organisation recently partnered with Multiverse to launch the Infrastructure Data Academy. The purpose is to upskill Morgan Sindall Infrastructure's workforce, focusing on data science skills like analytics, AI and predictive modelling.

Sarah Reid, Managing Director of the Morgan Sindall Infrastructure Highways business unit, says the data upskilling project "enables the business to become a digital-first organisation, creating efficiencies through new technology investments to further develop our culture around using data in everyday operations."

Example: A key challenge for a company working with infrastructure could be optimising highway groundwork with longevity top of mind. By leveraging data insights from past projects and building predictive modelling, the company could extend the lifespan of highway infrastructure. Doing this creates efficiencies by lowering the number of major repairs or reconstruction projects needed over time.

Data analysis

The Maritime and Coastguard Agency (MCA) has partnered with Multiverse as part of a government drive to boost data skills across the civil service. The MCA aims to train its workforce to "make better use of data" — a key focus will be data analysis upskilling.

"There is a growing understanding in government of just how much data analysis can add to an organisation – in all aspects of the business," says Charis Doidge, Head of Data Science and Analytics at the Maritime and Coastguard Agency. Charis cites building the MCA's in-house capabilities and driving efficiency as two benefits of better use of data through analysis.

Example: A company like the MCA could use data analysis to assess the performance of its search and rescue operations. To do this, the company would analyse data from past incidents. It could then find areas for improvement, including ways to reduce response times to emergencies at sea.

Uncovering data narratives

When you know how to interpret and handle data, you can analyse it more effectively. A more innovative approach to data analysis allows you to uncover patterns and insights that would otherwise stay buried in unstructured or unconnected data. These insights help you find and present meaningful data stories.

Example: Let's say you work for a retail company that wants to create better online customer experiences. To help with this goal, you use online engagement data to run a customer journey analysis. The data reveals which touchpoints lead to conversions and where customers leave the site. You can then use the insights to help you optimise what's working and improve what isn't. The result will be more custom experiences for your customers—and more conversions for your company.

Data science skills

If a data science career path sounds appealing, you should focus on developing specific skills. These include working on your technical, mathematical and statistical abilities. But remember, you also need a strong commercial focus. Let's take a closer look.

Technical ability

You'll need technical ability to work in data science. That means using SQL (Structured Query Language), Microsoft Excel, and data visualisation techniques. You'll also need computer programming skills, including knowing programming languages like Python.

Mathematical understanding

Understanding maths and statistics is crucial for data science. You'll need to know linear algebra, statistics and probability. With this knowledge, you can analyse and interpret complex datasets to uncover patterns. A mathematical understanding will also help you build predictive models and test ideas.

Commercially minded

Data science isn't just technical. How you communicate your findings to other stakeholders matters, too. To have a successful career in data science, you'll need to know and use the entire data science process to meet business needs. You'll also need to be able to share your data insights with non-specialists in a way they can understand.

What do data scientists make? Data scientist salary in the UK

The average Data Scientist salary in the UK is around £55,420 per year (Talent). But what you earn as a Data Scientist fluctuates depending on skill level and experience. That said, entry-level positions are higher than average compared to other professionals.

An entry-level Data Scientist can make around £42,500 on average per year. That's over £7,500 higher than the typical annual earnings in the UK. Then, as you progress in your career and gain more experience, you could be on track to earning up to £80,000 a year.

Aside from skills and experience, your location may also affect how much you make as a Data Scientist. For example, in a city like London, the cost of living is higher, so salaries are higher. According to Indeed, the five highest-paying cities for Data Scientists in the UK are:

• London
• Reading
• Birmingham
• Edinburgh
• Manchester

Here’s a breakdown of the UK's top-paying cities for Data Scientists.

Data science courses: best way to learn data science

Online courses, university and professional apprenticeships are three popular ways to learn data science — here's what you need to know about each.

Online courses

Some Further Education (FE) colleges may offer part-time online data science courses or qualifications. Platforms like Coursera provide the same, but they might not have qualifications or accreditations. You may also need to self-fund these courses if your employer doesn't fund professional development.

University

University is another way to learn data science. If you choose this option, you'll want to study for a degree or postgraduate qualification in a relevant subject like maths, statistics, or data science. But university is undeniably expensive. The combined cost of tuition fees and accommodation costs in England is around £50,000. You're also not guaranteed a relevant data science role when you graduate.

Professional apprenticeship

What if you don't want to pay nearly to earn a degree-level qualification or for continuing education — but you do want to progress within your data science career? In that case, consider a tuition-free alternative to university, like an apprenticeship.

Unlike university, you don't need to self-fund the programme — it's totally free for learners with no strings attached. And depending on the apprenticeship level of study, you can earn a degree equivalent qualification.

To top it off, you'll learn job-ready skills through an on-the-job training programme that fits around your work schedule. So, even if you're a few years into your career, you can keep working full-time while you learn without taking a career break.

Learn data science

To succeed in data science, you should learn to use Excel, Python and BI tools like Tableau. You'll also need technical, mathematical and business skills. With a Multiverse apprenticeship like the Advanced Data Fellowship programme, you can expand upon the data science skills you already use on the job for free. You'll also get paid your regular salary to learn and apply your new abilities in your day-to-day role.

To get started, simply create a Multiverse profile. Our team can then double-check your eligibility and discuss apprenticeship options with you.

We built the first version of our values back in 2016 and they served us very well. At that point, there were 8 values and they formed a deeply personal and impactful part of the growth of Multiverse. But as we crossed 600 people and gathered pace for a succession of funding rounds, we knew it was time for our values to evolve, ensuring they were ready to drive us forward to where we will be in the future.

Today we have 6 values, and they are:

We seek to level the playing field and are guided by fairness as a fundamental principle. It is our North Star, reflected in our mission to create a diverse group of future leaders and governs what we do and don’t do at Multiverse.

We treat those around us with respect and kindness. We never assume bad intent and judge people based on their actions, not on assumptions about their motivation. We act with integrity and think about the impact our actions have on others and strive to be the best version of ourselves.

We are direct but kind in our feedback and provide it regularly because we want to help people grow and reach their full potential. We believe skills are developed and built and see setbacks as opportunities to adapt and grow. No one should be the same person they were 3 months ago.

We take responsibility for what happens around us and we do the right thing, not the easy thing. We work with great care and skill, sometimes at an uncomfortable speed, energising those around us by the standards we hold.

We understand the fundamentals and facts first, and build our approach from there. We are guided by integrity in the decisions that we make and are solutions oriented. We will not be constrained by what has been done before or tradeoffs we don’t need to make.

Our mission is serious, and so is our approach to the work we do. But everyone deserves to work in an environment where they can have some fun, share some laughter, and feel unafraid to be themselves.

Our values are embedded in our culture and ways of working - allowing us to make the right decisions for Multiverse. From who we hire, to how we talk about career progression and development, and importantly, setting the tone for everyone as we continue in our mission to provide equitable access to economic opportunity, for everyone.

Do these values align with your personal values? We're hiring.