Data Scientist

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.

This role will work within our Data & Insight team, reporting to the Director of Data Science & Machine Learning. 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, machine learning algorithms 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 insightful analyses, algorithm and machine learning model requirements

• 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 using software engineering best practices

• 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/machine learning experience

• Expertise in putting supervised/unsupervised machine learning algorithms and/or AI tools into production

• Solid track record of developing supervised/unsupervised machine learning algorithms and/or AI tools in production delivering scalable, operational outputs

• Strong experience with Python and common libraries used in machine learning (e.g. - NumPy, Pandas, Scikit-Learn, PyTorch, Langchain)

• Working knowledge of PostgreSQL

• Experience with GitHub

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

• 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 Azure

• Experience with CI/CD (e.g. Github Actions)

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

• Experience working with skills/learning data