Lead Data Scientist

LexisNexis Risk Solutions
Paris
Workplace: OnsiteFull timeEUR 64,400 - 107,300Function: Data Science & Machine LearningExperience: 4+ yearsEducation: mastersSkills: ["Communication","Collaboration","Business mindset","Proactive communication","Innovation"]

Drive the research, prototyping, and productionization of AI/ML capabilities across products in fraud, identity, and financial crime compliance. Design and run experiments, train and fine-tune LLM and ML models, and develop real-time inference and scalable deployment strategies. Collaborate with Product Managers and Engineering, integrate evolving fraud-pattern insights from customers and professional services, and mentor other data scientists.

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LexisNexis Risk Solutions
LexisNexis Risk Solutions
1 month ago

Lead Data Scientist

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Source: Company careers pageValidated by: Fursa AI
Last checked: 20 days agoStatus: Live
Reposted: similar role first listed 7 months ago

Job Summary

Drive the research, prototyping, and productionization of AI/ML capabilities across products in fraud, identity, and financial crime compliance. Design and run experiments, train and fine-tune LLM and ML models, and develop real-time inference and scalable deployment strategies. Collaborate with Product Managers and Engineering, integrate evolving fraud-pattern insights from customers and professional services, and mentor other data scientists.
Location: Paris
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Contribute to the research, prototyping, and productionization of new AI and ML features across the product portfolio.
  • •Collaborate with Product Managers and Engineering teams to design and deliver data-driven enhancements.
  • •Design and execute experiments to validate research ideas and evaluate model performance.
  • •Train, fine-tune, and optimize LLM and ML models using structured and unstructured data from APIs and customer workflows.
  • •Develop strategies for real-time model inference and scalable deployment, and support other data scientists.
Travel: Low travel

Pay and Benefits

Salary: EUR 64,400 - 107,300

Key Requirements

  • •4+ years of experience building, training, and evaluating Deep Learning and Machine Learning models using PyTorch, TensorFlow, scikit-learn, HuggingFace, or LangChain.
  • •Strong Python programming skills for data wrangling, analysis, and visualization.
  • •Solid SQL experience for database querying and data exploration/preparation.
  • •Familiarity with cloud platforms (AWS, Azure) and modern data stack tools (Snowflake, Databricks).
  • •Excellent communication skills and strong English proficiency (C1/C2) in international, multicultural environments.
Experience:4+ yearsFraud preventionIdentity verificationFinancial crime complianceMachine learningDeep learning
Education:Master's
Skills:CommunicationCollaborationBusiness mindsetProactive communicationInnovation
Languages:English
Tech Stack:PythonPyTorchTensorFlowScikit-learnHuggingFaceLangChainLarge Language Models (LLMs)Generative AIMachine LearningNatural Language Processing (NLP)SQLAWSAzureSnowflakeDatabricksDockerKubernetesGitCI/CDML Ops

Company Brief

LexisNexis Risk Solutions
Provides data, analytics, and technology solutions to help businesses manage risk, detect fraud, comply with regulations, and make decisions across insurance, financial services, government, and commercial sectors.
Industry: RegTech
Company Size: Enterprise (1,001+ employees)
Growth: Established Company
Funding: Public Company
Headquarters: Alpharetta, United States
WebsiteLinkedIn