Senior Data Scientist – NLP & Gen AI (Hybrid)

Relx Plc; Ciudad de México; Hybrid; MXN 1,787,000 - 2,987,000; Full time

Benefits offered by this job

Private Medical, Dental and Vision

Savings Fund with company matching

Life insurance

Grocery voucher

Vacation Bonus

Learning resources

Employee Assistance Programme

Time off for charities

Job summary

RELX plc is seeking a passionate ML Scientist to design and implement machine learning, NLP, and generative AI solutions for scientific content discovery and decision support. You will work with large-scale data, build end-to-end production systems, and collaborate with cross-functional teams to deliver measurable user value.

The role focuses on semantic search, information retrieval, and content understanding, leveraging embeddings, LLMs, and traditional ML methods.

Qualifications

• Experience in data science, machine learning, artificial intelligence, NLP, statistics, applied mathematics, computer science, or a related quantitative area.
• Experience working with frontier LLMs such as OpenAI’s GPTs, Anthropic’s Claude, and Google’s Gemini, including fine-tuning LLMs and/or SLMs.
• Strong Python skills and a habit of writing clean, maintainable, well-tested code.
• A solid grasp of machine learning fundamentals, including supervised and unsupervised learning, feature engineering, model evaluation, model selection, and performance measurement.
• Experience working with structured, semi-structured, or unstructured data, especially large-scale text or content datasets.
• Familiarity with common data science and machine learning tools such as Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, or Matplotlib.
• The ability to translate complex and ambiguous requirements into practical, measurable, data-driven solutions, with strong analytical thinking, problem-solving skills, and attention to quality.
• Clear communication skills, a collaborative approach to working with engineering, product, and business stakeholders, and a genuine interest in building production-ready systems that deliver real user value.

Responsibilities

• Design and build machine learning, NLP, and generative AI systems for scientific discovery, knowledge extraction, decision support, and intelligent content understanding.
• Work with large-scale, complex, and heterogeneous data, including scientific publications, research datasets, knowledge graphs, ontologies, taxonomies, citations, metadata, and content from every scientific discipline.
• Apply the right technique to each problem, using approaches such as classification, regression, clustering, ranking, feature engineering, deep learning, embeddings, LLMs, retrieval, and generative AI.
• Develop capabilities for semantic search, information retrieval, entity extraction, content classification, recommendation, ranking, summarization, question answering, and evidence-grounded generation.
• Build, evaluate, fine-tune, prompt, and integrate models into robust production systems, while continuously improving quality, relevance, reliability, and user value.
• Write clean, tested, production-quality Python and contribute reusable data science components, packages, and scalable data pipelines for preprocessing, inference, experimentation, monitoring, and continuous improvement.
• Support deployment, monitoring, model maintenance, drift detection, automated retraining, and ongoing optimization of data science systems.
• Collaborate with engineering, product, UX, analytics, research, and domain experts, and communicate technical concepts, model behavior, insights, trade-offs, and recommendations clearly to technical and non-technical audiences.

Skills

Machine learning

NLP

Generative AI

Python

Data analysis

Problem solving

Communication

Education

Bachelor's degree in a quantitative field

Tools

Pandas

NumPy

SciPy

Scikit-learn

PyTorch

TensorFlow

Matplotlib

Job description

RELX plc is seeking a passionate ML Scientist to design and implement machine learning, NLP, and generative AI solutions for scientific content discovery and decision support. You will work with large-scale data, build end-to-end production systems, and collaborate with cross-functional teams to deliver measurable user value.

The role focuses on semantic search, information retrieval, and content understanding, leveraging embeddings, LLMs, and traditional ML methods.