Data Scientist

We are Multiverse, a tech startup with a social mission. We’re building an outstanding alternative to university and corporate training, to develop a diverse group of future leaders. Our impact focuses on three core areas: measuring potential beyond academics, delivering world-class job-focused training via applied learning, and helping diverse groups of young people build social capital through a thriving community.

We are one of the fastest growing businesses in Europe and also rapidly expanding in North America, working with over 300 clients including Meta, Morgan Stanley, KPMG, Kantar, Citi and Microsoft.

We started 2021 with the UK’s largest ever EdTech funding round - a $44m Series B. Since then we've opened our New York office, and been awarded “Outstanding” by OFSTED (the UK government’s education regulator) across every category. In September 2021, we broke the funding record again with a $130m Series C raise.

We are looking for exceptional people to join us as we create something genuinely radical that will replace the way people think about accessing careers and how they learn.

Requirements

As a Data Scientist, you will help ensure that data informs all of our key decisions at Multiverse. We have spent the past few years consolidating a wide range of data sources, covering admissions, learning, community, sales, marketing, recruiting, operations and more. Multiverse teams can now analyse these data in real-time, helping them identify issues, opportunities and trends. You will help us take our data capabilities to the next level by embedding models and advanced analyses within our decision-making processes and workflows to gleam actionable insights, including from our as yet untapped text data.

This role will work within our Data & Insight team, collaborating closely with Data Product Owners, Data Engineers and other Data Scientists - 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 algorithm development and the ability to work within a fast paced team environment.

What you’ll focus on:

• Translating internal and external stakeholders’ questions into actionable hypotheses
• Ideating where new Data Science & NLP use-cases can help improve apprentice outcomes and/or outcomes for Multiverse as a business
• Creating a deep understanding of our data lineage & data sourcing; and compensating for sampling/analytical biases
• Creating, training & iterating proof-of-concept models
• Productionising models, enabling continuous operation at scale
• Continuously monitoring and refining models to maximise effectiveness and efficiency while minimising biases and operational issues
• Communicating insights with key stakeholders at all levels of seniority and technical expertise
• Reviewing and validating scalable data collection and processing methods

• Tracking and understanding emergent trends
• Sourcing and leveraging external research/data that strengthen our internal insights

What we’re looking for:

Required

• 2+ years of data science experience
• 1+ years of NLP experience using the latest methods & libraries
• Solid track record of producing scalable operational outputs with successful real-world applications
• Strong experience with Python, R or equivalent
• Working knowledge of PostgreSQL
• Experience with GitHub
• Experience working within a cloud environment
• 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 (Desirable)
• Experience with AWS, Sagemaker and/or Alteryx (Desirable)
• Experience with CI/CD tools such as CircleCI (Desirable)
• Experience with infrastructure as code tools such as Terraform (Desirable)

Benefits

What’s in it for you?

• Equity options
• 27 days holiday (3 days are used for our December company switch off)
• 1 Life Event Day (can be for your birthday, moving house, getting a puppy...)
• 1 Volunteer Day to support a charitable cause
• 4 "M-Powered" company shut down days per year
• Private Medical Insurance with Bupa
• Medical cash back scheme with Medicash
• Life Insurance with YuLife
• Cycle to work scheme
• Spill, all in one mental health support
• Employer pension contributions of 3% on capped pensionable earnings
• Socials and more!!

Our commitment to inclusivity

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.

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