Multiverse

1 month ago

Senior Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

As a Senior Data Scientist, own end-to-end ML models that forecast learner outcomes, predict demand, and optimize resource allocation. Partner with Data Engineers, Data Product Developers and Insight Analysts to translate business questions into production-grade models, productionize pipelines with CI/CD, and ensure robust, scalable solutions that inform multi-million-dollar decisions across customer, learner and operations domains.

Location: London

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Own end-to-end ML models from conception to production, including data collection, feature engineering, modelling, validation and deployment
•Collaborate with stakeholders across the business to translate ambiguous questions into well-scoped modelling problems with clear success criteria
•Design and iterate supervised and unsupervised models to forecast, predict and optimise across the business
•Maintain and monitor data pipelines and ML infrastructure to ensure reliable, scalable solutions
•Contribute to data protection and information security practices across the modelling lifecycle

Pay and Benefits

Perks:Health InsuranceGym MembershipRemote WorkBank Holidays

Key Requirements

•5+ years of data science/machine learning experience with a track record of building and deploying models that drive real business decisions
•Deep expertise in predictive modelling, forecasting and/or optimisation with strong statistical principles
•Strong proficiency in Python and core ML libraries (NumPy, Pandas, Scikit-Learn, xgboost, shap)
•Advanced working knowledge of SQL
•Hands-on experience with data pipelines and ML infrastructure

Experience:5+ yearsData scienceMachine learningMl engineering

Skills:CommunicationCollaborationProblem-solving

Languages:English

Tech Stack:PythonNumPyPandasScikit-LearnXgboostShapSQLAirflowSnowflakeGitHubAWSSagemakerAzureCI/CDGit

Company Brief

Multiverse

Multiverse provides apprenticeship and upskilling programs combining human coaching with AI to train employees in data, tech and AI skills, partnering with large organisations to deliver on-the-job learning and career mobility.

Industry: Corporate Training

Company Size: Enterprise (1,001+ employees)

Revenue: USD 50M to 100M

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series D

Headquarters: London, United Kingdom

Founded: 2016

Glassdoor: 2.9

Website LinkedIn Glassdoor

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Multiverse

1 month ago

Senior Data Scientist

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 3 hours agoStatus: Live

Job Summary

Location: London

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Sr. Manager level

Key Responsibilities

•Own end-to-end ML models from conception to production, including data collection, feature engineering, modelling, validation and deployment
•Collaborate with stakeholders across the business to translate ambiguous questions into well-scoped modelling problems with clear success criteria
•Design and iterate supervised and unsupervised models to forecast, predict and optimise across the business
•Maintain and monitor data pipelines and ML infrastructure to ensure reliable, scalable solutions
•Contribute to data protection and information security practices across the modelling lifecycle

Pay and Benefits

Perks:Health InsuranceGym MembershipRemote WorkBank Holidays

Key Requirements

•5+ years of data science/machine learning experience with a track record of building and deploying models that drive real business decisions
•Deep expertise in predictive modelling, forecasting and/or optimisation with strong statistical principles
•Strong proficiency in Python and core ML libraries (NumPy, Pandas, Scikit-Learn, xgboost, shap)
•Advanced working knowledge of SQL
•Hands-on experience with data pipelines and ML infrastructure

Experience:5+ yearsData scienceMachine learningMl engineering

Skills:CommunicationCollaborationProblem-solving

Languages:English

Tech Stack:PythonNumPyPandasScikit-LearnXgboostShapSQLAirflowSnowflakeGitHubAWSSagemakerAzureCI/CDGit

Company Brief

Multiverse

Industry: Corporate Training

Company Size: Enterprise (1,001+ employees)

Revenue: USD 50M to 100M

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series D

Headquarters: London, United Kingdom

Founded: 2016

Glassdoor: 2.9

Website LinkedIn Glassdoor