Data Scientist III

LexisNexis Risk Solutions; Philadelphia (Philadelphia County); Hybrid; MXN 1,610,000 - 2,683,000; Full time

Benefits offered by this job

Wellbeing initiatives

Parental leave

Study assistance

Sabbaticals

Country-specific benefits

Job summary

LexisNexis Risk Solutions is hiring a Data Scientist to design ML, NLP, and generative AI solutions across US and Mexico locations. You will work with large-scale scientific content, build production-ready AI systems, and partner with cross-functional teams to turn complex challenges into measurable outcomes.

You’ll apply diverse techniques from classification to generative AI, fine-tune LLMs, and develop robust data pipelines using Python and standard DS tools.

Qualifications

• Experiences in data science, ML, AI, NLP, statistics, applied math, CS or related quantitative field.
• Experience with frontier LLMs such as GPTs, Claude, Gemini and fine-tuning LLMs/SLMs.
• Strong Python skills with clean, maintainable, well-tested code.
• Solid grounding in ML fundamentals: supervised/unsupervised learning, feature engineering, evaluation, selection, and metrics.
• Experience with large-scale structured or unstructured data, especially text or content datasets.
• Familiarity with common DS/ML tools like Pandas, NumPy, SciPy, Scikit-learn, PyTorch, TensorFlow, Matplotlib.
• Ability to translate complex requirements into practical, measurable data-driven solutions and to communicate clearly.

Responsibilities

• Design and build ML, NLP, and generative AI systems for scientific discovery, knowledge extraction, and decision support.
• Work with large-scale, heterogeneous data including publications, datasets, graphs, ontologies, and metadata.
• Apply appropriate techniques: classification, regression, clustering, ranking, feature engineering, deep learning, embeddings, LLMs, retrieval, generative AI.
• Develop capabilities for semantic search, information retrieval, entity extraction, content classification, recommendation, ranking, summarization, QA, and evidence-grounded generation.
• Build, evaluate, fine-tune, prompt, and integrate models into robust production systems with ongoing quality improvements.
• Write clean, tested Python and create reusable data science components and scalable pipelines for preprocessing, inference, experimentation, monitoring, and improvement.
• Support deployment, monitoring, drift detection, retraining, and optimization of data science systems.
• Collaborate with engineering, product, UX, analytics, research, and domain experts; communicate technical concepts and trade-offs clearly.

Skills

Machine learning

NLP

Generative AI

Python

LLMs fine-tuning

Data analysis

Tools

Pandas

NumPy

SciPy

Scikit-learn

PyTorch

TensorFlow

Matplotlib

Job description

Data Scientist, USA-Philadephila or Mexico-Mexico City Are you excited by the opportunity to use machine learning, NLP, and generative AI to help researchers discover knowledge faster and make better decisions? Would you enjoy turning complex scientific and business challenges into practical, production-ready AI solutions that create real user value?

About our Team

Our global team support products education electronic health records that introduce students to digital charting and prepare them to document care in today’s modern clinical environment. We have a very stable product that we’ve worked to get to and strive to maintain. Our team values trust, respect, collaboration, agility, and quality.

About the Role

In this role, you will design and build machine learning, NLP, and generative AI solutions that support scientific discovery, knowledge extraction, decision support, and intelligent content understanding. You will work with large-scale scientific content and data, applying the right techniques to solve complex problems and deliver reliable, production-ready systems. Working closely with cross-functional partners, you will help turn ambiguous challenges into measurable outcomes that improve how researchers discover and use knowledge.

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.

Requirements

• 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.

Work in a Way That Works for You

We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals.

Working Pattern

Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive

About the Business

A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world's grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better worl

U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

USA Job Seekers: EEO Know Your Rights.

RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive. Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions. Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.