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.