Workday

Data Scientist

Workday

full-time

Posted on:

Location Type: Office

Location: London • United Kingdom

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Tech Stack

AWSPythonSQLTableau

About the role

  • Use innovative data analytics and machine learning techniques to extract valuable insights from the bank's data reserves.
  • Identification, collection, and extraction of data from various sources.
  • Performing data cleaning, wrangling, and transformation to ensure quality and suitability for analysis.
  • Development and maintenance of efficient data pipelines for automated data acquisition and processing.
  • Design and conduct statistical and machine learning models to analyse patterns, trends, and relationships in the data.
  • Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities.
  • Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science.

Requirements

  • Bachelor’s or Master’s degree in Data Science (or similar) or equivalent commercial experience.
  • Experience working with stakeholders to deliver ideas from inception to production, translating technical work into clear business value.
  • Hands-on experience applying Machine Learning techniques (e.g., clustering, classification, regression, NLP) to drive business outcomes.
  • Proficient coding skills in Python and SQL, with the ability to write modular, production-ready code and follow good development practices.
  • Familiarity with AWS data science/AI services (e.g., SageMaker, Bedrock) and understanding of Generative AI, LLMs, and RAG frameworks.
  • Competent in data visualisation (Tableau preferred; QlikView, Power BI or similar advantageous).
  • Knowledge of code management practices and a proactive, self-motivated approach to learning new tools, skills, and techniques.
Benefits
  • Professional development opportunities
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
data analyticsmachine learningdata cleaningdata wranglingdata transformationdata pipelinespredictive modelsclusteringclassificationregression
Soft Skills
collaborationstakeholder engagementcommunicationproblem-solvingself-motivation
Certifications
Bachelor’s degree in Data ScienceMaster’s degree in Data Science