Data Scientist

About Us:

At Wolters Kluwer, our Legal and Regulatory division empowers legal and compliance professionals to enhance productivity, mitigate risk, and tackle complex challenges with confidence. Within this division, ELM Solutions offers a comprehensive suite of tools designed to improve the operational efficiency of corporate legal and insurance claims departments. Our innovative technology and customer-focused approach help drive world-class business outcomes for our clients.

About the Role:

We’re seeking a Data Scientist with 3-6 years of experience to join our dynamic team. In this role, you’ll work on AI model development, data analysis, and deployment processes that support our cutting-edge legal solutions. This position offers the opportunity to contribute to meaningful projects that optimize business performance, improve operational efficiency, and drive innovation.

Key Responsibilities:

• Develop, train, and enhance AI models through iterative re-training based on user feedback and domain expertise.
• Work closely with cross-functional teams to ensure smooth integration and deployment of AI solutions.
• Conduct data analysis to generate actionable insights that assist senior data scientists.
• Manage and maintain databases and data repositories.
• Stay current with the latest developments in data science, AI, and machine learning tools.
• Document data collection, analysis procedures, and technical workflows.

Required Skills:

• Proficiency in Python and its data science ecosystem.
• Hands-on experience with Generative AI, Large Language Models (LLMs), and advanced Retrieval-Augmented Generation (RAG) techniques.
• Proficiency in LangChain or similar generative AI development frameworks.
• Expertise in developing FastAPIs to integrate AI models with APIs.
• Strong experience with MLflow for tracking and logging model development.
• Experience in developing and supporting machine learning (ML) solutions.
• Strong background in Natural Language Processing (NLP).
• Azure AI Cloud Services or similar cloud-based AI platforms.
• Proficiency with SQL and the Solr framework using Python.
• Familiarity with Linux environments and shell scripting.
• Solid foundation in statistical modeling, data structures, algorithms, operating systems, and databases.
• Excellent problem-solving abilities, attention to detail, and organizational skills.
• Ability to collaborate effectively with cross-functional teams, including domain experts, engineers, and data scientists.
• A proactive, self-motivated attitude with the ability to handle multiple projects in a distributed work environment.
• Passion for emerging technology trends and innovation.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or a related field; a Master’s degree is a plus.
• 3+ years of experience supporting software products or applications in the AI/ML domain.