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RELX

Global information analytics and decision tools

Senior Data Scientist 1

Natural Language Processing & LLMsConfirmed live in the last 24 hours
Full-timeShanghai, ChinaNo salary listedIn-person

About the Job

Requirements

  • A Master's or Ph.D. in Data Science, Computer Science, Statistics, or a related field is required.
  • Four to six years of experience in data science, machine learning, or artificial intelligence, with a track record of delivering impactful projects.
  • Proficiency in Python and relevant data science libraries such as scikit-learn, TensorFlow, and PyTorch.
  • Experience with generative AI models and techniques, such as large language models and generative adversarial networks, for content generation.
  • Expertise in prompt engineering for fine-tuning language models such as GPT-4 or similar models.
  • Familiarity with retrieval-augmented generation and related tuning and evaluation approaches.
  • Strong knowledge of statistical analysis, machine learning algorithms, and data manipulation techniques.
  • Ability to work independently and as part of a team.
  • Ability to convey complex technical concepts to non-technical stakeholders.

Responsibilities

  • Perform advanced data analysis, modeling, and machine learning to develop predictive and prescriptive models that drive business outcomes.
  • Collect, clean, and preprocess large datasets, ensuring data quality and reliability.
  • Develop and implement machine learning algorithms and artificial intelligence solutions to solve complex business problems.
  • Create informative data visualizations to communicate results and insights to stakeholders.
  • Collaborate with cross-functional teams, including data engineers, business analysts, and domain experts, to identify opportunities and address business challenges.
  • Stay up to date with trends and techniques in data science and contribute to developing innovative solutions.
  • Assist in deploying machine learning models into production environments.
  • Maintain comprehensive documentation of projects, models, and code for knowledge sharing and reproducibility.
  • Conduct experiments on large datasets to evaluate the feasibility, results, and performance of natural language processing and large language models.
  • Make sound engineering decisions and improve software development practices with attention to performance and reliability.

About the Company

RELX

Global information analytics and decision tools

RELX is a global provider of information-based analytics and decision tools for professionals across scientific, technical, medical, legal, risk, business, and exhibitions industries. It operates in four segments: Scientific, Technical & Medical; Risk & Business Analytics; Legal; and Exhibitions. Its products combine large datasets, analytics, and decision-support tools to help researchers, healthcare professionals, lawyers, and business leaders make informed choices, improve productivity, and achieve better outcomes. Revenue mainly comes from subscriptions, with additional income from transactional sales and advertising. RELX differentiates itself through its deep data assets, specialized industry knowledge, and multi-segment offerings that span content, analytics, and decision-support services. The company pursues a goal of delivering trusted information and insights while supporting corporate responsibility and alignment with the UN SDGs through its products and partnerships.

Company size
1,001-5,000
Company stage
IPO
Headquarters
London, United Kingdom
Founded
1894

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