Data Scientist at Multiverse

London, England, United Kingdom

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

EdTech, TechnologyIndustries

Requirements

5+ years of data science/machine learning experience, with a proven track record in leading complex data projects
Extensive experience in deploying supervised/unsupervised machine learning algorithms and AI tools into production, delivering scalable and effective solutions
Strong proficiency in Python and key libraries commonly used in machine learning (e.g., NumPy, Pandas, Scikit-Learn, PyTorch, Langchain)
Advanced working knowledge of SQL
Experience with GitHub for version control
Demonstrated experience productionising ML models and analytic outputs within cloud environments (e.g., AWS, Azure)
Understanding of best practices in data protection and information security
A tenacious, curious, and pragmatic approach to problem solving, focusing on creating usable, scalable outputs
Exceptional attention to detail and a strong analytical mindset
A growth-oriented attitude and a passion for continuous learning and professional development
A commitment to Multiverse’s mission and values

Responsibilities

Translate complex stakeholder queries and hypotheses into actionable analyses, experiments and AI/ML model requirements
Develop a comprehensive understanding of our data lineage and sources, addressing and mitigating sampling and analytical biases
Oversee the productionization of analyses and models, ensuring their seamless operation at scale by adhering to software engineering best practices
Drive targeted exploration of our data landscape, ideating and implementing innovative ways to use data for enhancing user engagement on our products
Build out our knowledge graph capability for underpinning AI/ML models and agentic workflows
Proactively monitor and refine analyses and models, optimizing effectiveness and efficiency while minimizing biases and operational challenges
Evaluate and validate scalable methodologies for data collection and processing, ensuring robust practices are in place
Communicate actionable insights to stakeholders at all levels, bridging the gap between technical concepts and business objectives

Skills

Data Science

Machine Learning

Analytical Skills

Experiments

Data Lineage

Model Productionization

Python

SQL

Multiverse

Provides professional apprenticeships for workforce development

About Multiverse

Multiverse focuses on workforce development through professional apprenticeships, providing on-the-job training programs that help individuals gain skills for high-paying jobs and career advancement. The company operates in the United States and the United Kingdom, partnering with various organizations to tailor apprenticeship programs to meet specific employer and individual needs. Unlike traditional hiring methods, Multiverse's approach is designed to be equitable and accessible, allowing diverse talent to succeed. The company also offers ongoing support and mentorship to apprentices, ensuring they can navigate their career paths effectively. Multiverse's goal is to create a diverse group of future leaders by transforming the way talent is developed and nurtured.

London, United KingdomHeadquarters

2016Year Founded

$402.7MTotal Funding

SERIES_DCompany Stage

Social Impact, AI & Machine Learning, EducationIndustries

1,001-5,000Employees

Risks

Competition from universities offering flexible, career-focused programs may challenge Multiverse.

Rapid AI development could outpace Multiverse's training program updates.

Economic downturns may reduce corporate spending on training, impacting revenue.

Differentiation

Multiverse offers AI-powered apprenticeships, a unique alternative to traditional university education.

The company partners with diverse industries, enhancing workforce skills through tailored programs.

Multiverse's acquisition of Searchlight boosts its AI capabilities and competitive edge.

Upsides

Partnership with Microsoft aims to skill 1 million people in AI by 2025.

Recent leadership appointments focus on financial growth and curriculum development.

AI-Powered Productivity apprenticeships are accredited and eligible for public funding in the UK.

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