Business Unit: Legal and Regulatory Division – ELM Solutions
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:
- AI Model Management: Oversee the configuration, maintenance, and support of AI models, ensuring optimal performance through iterative re-training and enhancements.
- Deployment & Release: Collaborate on AI model releases and ensure smooth production deployments and new client onboarding by configuring model pipelines.
- Cross-functional Collaboration: Work closely with cross-functional teams for seamless integration and deployment of AI solutions.
- Data Analysis & Insights: Conduct data analysis to generate actionable insights, supporting senior data scientists and decision-making.
- Documentation & Continuous Learning: Manage databases, maintain up-to-date documentation, and stay informed about the latest advancements in AI and machine learning tools.
Required Skills:
- Hands-on experience with Generative AI, Large Language Models (LLMs), and advanced Retrieval-Augmented Generation (RAG) techniques.
- Python & Data Science Ecosystem: Proficiency in Python, with hands-on experience in Generative AI, Large Language Models (LLMs), and Retrieval-Augmented Generation (RAG) techniques.
- Machine Learning & NLP Expertise: Expertise in developing machine learning solutions and a strong background in Natural Language Processing (NLP).
- SQL & Solr Framework: Proficient in SQL and the Solr framework, with Python-based implementations.
- Linux & Scripting: Familiarity with Linux environments and shell scripting.
- Statistical & Algorithmic Foundations: Solid knowledge of statistical modeling, data structures, algorithms, operating systems, and databases.
- Collaboration & Innovation: Strong problem-solving skills, collaboration with cross-functional teams, and a passion for emerging technology trends.
Qualifications:
- Bachelor’s degree in Computer Science, Engineering, Statistics, Mathematics, or a related field; a Master’s degree is a plus.
- 3-6 years of experience supporting software products or applications in the AI/ML domain.
Top Skills
What We Do
Wolters Kluwer (www.wolterskluwer.com) is a global leader in information services and solutions for professionals in the health, tax and accounting, risk and compliance, finance and legal sectors. We help our customers make critical decisions every day by providing expert solutions that combine deep domain knowledge with specialized technology and services.
Founded in 1836 and headquartered in Alphen aan den Rijn, the Netherlands, the company serves customers in over 180 countries, maintains operations in over 40 countries and employs 18,600 people worldwide.
Wolters Kluwer reported 2019 annual revenues of €4.6 billion. Listed on Euronext Amsterdam, Wolters Kluwer shares (WKL) are included in the AEX and Euronext 100 indices. Wolters Kluwer has a sponsored Level 1 American Depositary Receipt program. The ADRs are traded on the over-the-counter market in the U.S. (WTKWY).
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