Learning Engineer

Job Description

We’re on a mission to provide equitable access to economic opportunity, for everyone.

We close critical skill gaps in the workforce through a new kind of apprenticeship that combines work and learning. We begin by recognizing high-potential individuals both inside and outside of a company's current workforce and then we create applied, guided and equitable learning programs, with measurable impact. Because we believe the world needs a better way to match its potential.

We work with over 1,500 leading companies including the likes of Microsoft, Citi and Just Eat to help solve their business-critical problems, and we’ve trained over 16,000 professional apprentices in the tech and data skills of the future. This is made possible by our global team who are driven to achieve a mission that matters, together.

Join Multiverse and help us set a new course for work.

The Opportunity

As a Learning Engineer, you will be responsible for analysing and generating insights from data, derived from our assessments and research activities to inform how we drive decisions in learning innovation. In this role, you will collaborate with assessment designers, psychometrists and Senior learning engineers, to learn about what drives learning effectiveness, whilst strengthening your technical data skills to ensure decisions are based on high data quality and assessment scoring models are accurate.

This role will be within the Learning Sciences team, reporting to the Head of Learning Engineering. The Learning Science team’s mission is to drive better product experiences through research science, balancing how we scale our learning model to serve more learners whilst enhancing quality and experience. You will need to be analytical, pragmatic, collaborative and driven. You will also need a scientific mindset with a keen interest in communicating these insights effectively to others across the business.

Requirements

• Data Management:

  • Collect and cleanse data in Excel and/or SQL

  • Performing quality assurance checks on offline scoring processes.

• Data Analysis and Reporting:

  • Conducting and automating recurring analysis and monitoring of product performance.

  • Creating surveys using online tools for research and practical application.

  • Engaging in exploratory data analysis to uncover insights and trends in research experiments

  • Providing ad hoc data reporting as required.

• Experimentation and Research Support:

  • Ability to set up experiments with clear research hypotheses

  • Creating and reviewing content for the Learning Science Research Hub (blogs, white papers, academic papers) to ensure accuracy and clarity.

  • Ability to synthesise and relate current academic research to relevant business goals/projects.

  • Supporting various research streams, including literature reviews and assessment validations.

• Project and Documentation Management:

  • Managing and tracking core projects to ensure timely completion.

  • Assisting in gathering data for enablement plans and preparing supporting documentation.

About you:

Essential Interests:

• A broad interest in how AI can be applied strategically to optimize learning outcomes

• An interest in setting up and evaluating experiments focused on improving learning outcomes

• Eager to support research streams and understand the importance of data-driven decision-making in determining the outcomes and recommendations from experiments.

• A curiosity about learning or improving Excel, SQL and Python skills.

• Genuine interest in research and not just data handling, focusing on how data and insights contribute to learning and broader strategic goals.

Desirable Attributes:

• Acute attention to detail, critical for tasks like data quality checks and content review.

• Capable of managing and tracking multiple projects and experiments efficiently.

• Comfortable with ambiguity of imperfect data and experiment design.

• Strong systems thinking mentality.

• Ability to manage upward.

• Excellent verbal and written communication skills, essential for creating clear, understandable documentation and supporting collaborative research efforts.

• Ability to work within a fast paced environment, with shifting priorities.

How we hire

Benefits

• Time off - 27 days holiday, plus 7 additional days off: 1 life event day, 2 volunteer days and 4 company-wide wellbeing days and 8 bank holidays per year

• Health & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Gympass and access to Spill - all in one mental health support

• Hybrid & remote work offering - with weekly or monthly visits to the London office and the opportunity to work abroad 45 days a year

• Team fun - weekly socials, company wide events and office snacks!

Our commitment to Diversity, Equity and Inclusion

We’re an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here.

Right to Work

Do you have the right to work in the UK? Unfortunately, at this time we cannot offer sponsorship for this role and we cannot consider overseas applications.

Safeguarding

All posts in Multiverse involve some degree of responsibility for safeguarding. Successful applicants are required to complete a Disclosure Form from the Disclosure and Barring Service ("DBS") for the position. Failure to declare any convictions (that are not subject to DBS filtering) may disqualify a candidate for appointment or result in summary dismissal if the discrepancy comes to light subsequently.