4 days/week at home
A little flex time
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.
Requirements
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
What we’re looking for:
Required
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
Non-Required (But Desirable)
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. 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.
Company benefits
Working at Multiverse
Company employees
Gender diversity (male:female)
Office locations
Funding levels
Hiring Countries
Denmark
United Kingdom
United States
Awards & Achievements
Other jobs you might like
FlexScore®
FlexScore®
FlexScore®
FlexScore®
FlexScore®