Multiverse • London

Data Scientist

Employment type:  Full time

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

Health insurance – cover provided by Bupa
Work from anywhere scheme – work for up to 45 days/year abroad
27 days annual leave + bank holidays
Gym membership
Enhanced sick pay
Volunteer days – 2 days/year
Enhanced maternity leave
Enhanced paternity leave
Adoption leave
Pregnancy loss leave
Company shutdown periods
Mental health days
Cycle to work scheme
Faith rooms
Meditation space
Fully stocked snack cupboard
Life insurance
Salary sacrifice
Share options
Hackathons
Lunch and learns
Employee discounts
M-powered days - Company wide wellbeing days where the whole company shuts down once per quarter.
Location
88%
Employees are very happy with their working location freedom
Hours
75%
Employees are largely happy with the flexibility in the hours they work
Benefits
75%
Employees are largely happy with the benefits their company offers
Work-life balance
62%
Employees feel that they can switch off quite easily from work
Role modelling
69%
Employees feel that most people work flexibly
Autonomy
83%
Employees feel they have complete autonomy over getting their work done

Working at Multiverse

Company employees

800

Gender diversity (male:female)

45:55

Office locations

London, New York & Remote

Funding levels

$414M

Hiring Countries

Denmark

United Kingdom

United States

Awards & Achievements

Most flexible companies

Most flexible companies

Flexa100 2024
EdTech & Education

EdTech & Education

Industry awards 2023
Most flexible companies

Most flexible companies

Flexa100 2023

Other jobs you might like