LSEG (London Stock Exchange Group)

Data Scientist, SFI Research

LSEG (London Stock Exchange Group)

full-time

Posted on:

Location Type: Hybrid

Location: Singapore • 🇸🇬 Singapore

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Job Level

Mid-LevelSenior

About the role

  • Research, design and build advanced data science solutions to address ESG-related challenges (e.g., company carbon emissions estimations, ESG data extraction from company filings).
  • Collaborate with engineering and operations teams to deploy robust and scalable models, pipelines, and user interfaces.
  • Maintain and enhance existing methodologies and codebases to add new features and improve quality.
  • Stay on top of the latest R&D in data science, NLP, competitor offerings, and sustainable finance.
  • Advise internal and external partners on knowledge of SFI models as a Subject Matter Expert (SME).
  • Identify and assess data sources, as well as develop data queries needed by projects.
  • Analyze data and identify patterns to ensure practical, customer focused and production-ready designs.
  • Integrate internal and external data sources into end-to-end pipelines for solution development.
  • Collaborate with cross-functional team members across research, engineering and operations to drive successful project outcomes.
  • Provide technical leadership in project planning, deliverable scoping and solution architecture.
  • Proactively identify potential risks and issues, and engaging collaborators to develop and implement mitigation strategies.
  • Effectively communicate complex analyses and insights to both technical and non-technical audiences through clear reports, visualizations and presentations.

Requirements

  • Bachelor, Master or Ph.D. degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
  • Minimum 5 years’ working experience as a Data Scientist or similar roles, with emphasis on machine learning, NLP or advanced analytics.
  • Strong coding skills with track record of delivering data science solutions in commercial products or platform.
  • Bonus: Research experience in machine learning, NLP or ESG.
  • Bonus: Work experience in financial industry or ESG-related projects.
Benefits
  • Flexible working arrangements
  • Exposure to international teams
  • Training and opportunities to grow within the company

Applicant Tracking System Keywords

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

Hard skills
data sciencemachine learningnatural language processingdata analysisdata queryingmodel deploymentpipeline developmentsoftware developmentESG data extractionadvanced analytics
Soft skills
technical leadershipcollaborationcommunicationproblem-solvingproject planningrisk assessmentcustomer focusadaptabilitypresentation skillsinterpersonal skills
Certifications
Bachelor's degreeMaster's degreePh.D. degreecertification in data sciencecertification in machine learningcertification in artificial intelligencecertification in NLPcertification in ESGcertification in analyticscertification in project management