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.

As a Data Scientist, you will help ensure that data informs all of our key decisions at Multiverse. We have spent the past several years consolidating a wide range of data sources - covering product, admissions, learning, community, sales, marketing, recruiting, operations and more. You will help us maximise the value of this data by embedding advanced analyses and models into our decision-making processes in order to drive actionable insights.

This role will work within our Data & Insight team, reporting to the Director of Data Science. You will collaborate closely with Data Product Managers, Data Engineers and other Data Scientists/Analysts, as well as key stakeholders from all other teams across the business. You will need to be analytical, creative and collaborative, with a strong understanding of advanced analytical methods and the ability to work within a fast-paced team environment.

What you’ll focus on:

• Exploring our data and ideating how it can be best leveraged to drive insight that improves outcomes

• Translating stakeholders’ questions and hypotheses into useful & insightful analyses

• Understanding our data lineage/sourcing and compensating for sampling/analytical biases

• Creating, training & iterating advanced analyses and proof-of-concept models

• Productionising key analyses and models, enabling continuous operation at scale

• Continuously monitoring and refining analyses and models to maximise effectiveness and efficiency while minimising biases and operational issues

• Reviewing and validating scalable data collection and processing methods

• Sourcing and leveraging external research/data that strengthen our internal insights

• Communicating insights with key stakeholders at all levels of seniority and technical expertise

• Tracking and understanding how our data evolves over time - and adapting our analyses and models accordingly

• 2+ years of data science experience

• Solid track record of producing scalable operational outputs with successful real-world applications

• Strong experience with Python

• Working knowledge of PostgreSQL

• Experience with GitHub

• Experience performing data science tasks within a cloud environment (e.g. AWS)

• An appreciation of ML ethics, data protection and information security

• Tenacious, curious and pragmatic approach to problem solving, with a focus on generating usable and scalable outputs

• Meticulous attention to detail

• A growth mindset and a desire to continuously develop

• Commitment to Multiverse’s mission and values

• Working knowledge of education/skills sector

• Direct experience with AWS

• Experience with CI/CD (e.g. CircleCI)

• Experience with infrastructure as code (e.g. Terraform)

• Experience working with skills/learning data

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.

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.