Aspire Tech Graduate Data Scientist I

LexisNexis•Raleigh, NC

6d•Onsite

About The Position

Are you excited to begin your career in data science and apply AI, machine learning, and analytics to real-world business challenges? Do you enjoy solving problems, learning new technologies, and collaborating with experienced professionals to create meaningful business impact? Look no further than the prestigious LexisNexis Aspire Program! About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX (www.relx.com), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today’s top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles. The LexisNexis Aspire Graduate Program is a twelve-month initiative designed for recent graduates from various fields including Software Engineering, Data Science, Cyber Security and Data Analysis. You will be an essential part of our team, working with experts to develop and launch innovative products. The program includes technical and soft-skill training to support your personal and professional development. You’ll be supported by a strong network of peers, mentors, and managers as you build skills and explore different career paths—helping to launch a successful career within our company. Why Join Us: Do meaningful work on real-world projects from day one while developing the skills and confidence to expand your impact. Collaborate with experienced professionals to create cutting-edge legal tech solutions. Work with international leaders in legal tech to make a global impact. You’ll learn quickly because you’re involved in real work early on, not just observing. Here, growth happens through real work, continuous learning, and support from the people around you. Structured growth pathways support internal mobility and learning, so progress is built through real work and feedback. About the Role As a Data Scientist I, you will support Data Science teams by contributing to data preparation, modeling, analysis, and visualization. Working alongside experienced data scientists and engineers, you will help design, develop, and deploy AI and machine learning solutions while building your analytical skills and learning best practices. You will gain hands-on experience with data analysis, machine learning, generative AI, cloud technologies, and data engineering, and develop your technical and professional skills through mentorship and structured learning opportunities. This entry-level role is designed for individuals early in their careers who are interested in applying data science, analytics, machine learning, and AI to real business challenges. Location: On-Site in Raleigh, NC Program Start Dates: January 11, 2027, and June 14, 2027 Graduation Qualifications: Candidates should have completed their studies in 2025 or 2026, or expect to finish between August 2026 and May 2027.

Requirements

Be on track to receive a bachelor’s or master’s degree in data science, artificial intelligence, statistics, computer science, computer engineering, or a related field of study.
Understanding of core data science or machine learning concepts with an interest in AI, machine learning, and data-driven problem solving.
Have experience working with large language models and transformer-based architectures, such as BERT, RoBERTa, T5, and related technologies.
Demonstrated knowledge of applying LLMs, such as ChatGPT, GPT 3.5, Claude, Mistral, and similar technologies.
Demonstrate proficiency with machine learning algorithms, including deep learning, gradient boosting, and random forests.
Demonstrate interest in technology and a willingness to learn new processes and technologies.
Have a collaborative mindset with solid communication skills.
Be able to engage with leading-edge technologies while working alongside experienced and supportive colleagues.

Responsibilities

Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.
Analyzing large datasets to identify patterns and trends that can inform AI development.
Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.
Evaluating and creating new frameworks and defining methodologies and governance.
Remaining informed about emerging technology trends.
Participating in the evaluation and testing of new data science tools and technologies.
Applying techniques such as statistical analysis, predictive modeling, and pattern recognition.
Supporting the development and evaluation of machine learning and generative AI solutions.