Tech Accelerate Graduate Program - Software Engineer

For aspiring software engineers looking to launch their careers in a dynamic and impactful field, the Risk Solutions Tech Accelerate Graduate Program at LexisNexis® Risk Solutions presents a compelling opportunity. This program is meticulously designed to provide new and upcoming graduates with foundational experience in critical areas of technology, fostering both technical and personal growth.

Advantages for Candidates:

• Comprehensive Rotational Experience: The 12-month program features two distinct six-month rotations, offering a broad exposure to cutting-edge technologies. Candidates will gain hands-on experience in big data, AI, SRE (Site Reliability Engineering), DevOps, and security engineering. This diverse exposure is invaluable for identifying career passions and building a well-rounded skill set.
• Cloud Platform Exposure: A significant advantage is the opportunity to work with leading cloud platforms such as AWS and Azure. Proficiency in these environments is highly sought after in the current job market, making this a key differentiator for graduates.
• Focus on Development and Mentorship: The program emphasizes both technical and personal development. Participants benefit from dedicated mentorship, regular performance feedback, and extensive training. This structured approach ensures that graduates are not just learning, but are actively guided in their professional journey.
• Meaningful Impact: LexisNexis Risk Solutions is committed to "using data for good." Graduates will contribute to products that support key markets like insurance, healthcare, and government, understanding how their work directly impacts community safety, accuracy in services, and business transparency.
• Robust Benefits Package: Beyond the learning opportunities, the company offers a comprehensive benefits package designed to support employee well-being and long-term career success. This includes generous holiday allowance, health screening, private medical benefits, wellbeing programs, life assurance, a competitive pension scheme, and share options.
• Career Advancement: This program is a direct pathway into a career at LexisNexis Risk Solutions, a recognized leader in data analytics and risk management. The experience gained here can serve as a strong foundation for future roles within the company or the broader technology sector.

Key Considerations for Candidates:

• Program Structure: The 12-month duration with two distinct rotations requires adaptability and a willingness to immerse oneself in different team environments and technical challenges.
• Technical Skill Foundation: While the program is designed for entry-level engineers, a strong academic background in Computer Science or a related field is essential. Familiarity with development languages such as Java/J2EE, Python, JavaScript, C/C++, SQL, and an understanding of software development methodologies like Agile are expected. The program also emphasizes learning new technologies, so a proactive learning attitude is crucial.
• Communication and Collaboration: As with most technology roles, excellent written and verbal communication skills are vital. Graduates will need to collaborate effectively with senior engineers and stakeholders, requiring clear articulation of ideas and problem-solving approaches.
• Data-Centric Focus: The core of LexisNexis Risk Solutions' work involves data. Candidates should have an understanding of data modeling principles and data manipulation languages, and demonstrate a desire to leverage data for insightful solutions.
• Graduation Timeline: Applicants must have a graduation date between December 2025 and May 2026 to be eligible for this specific cohort.

The Risk Solutions Tech Accelerate Graduate Program at LexisNexis® Risk Solutions is an exceptional starting point for individuals passionate about software engineering and eager to make a tangible difference. It offers a structured environment for learning, growth, and contributing to significant projects within a reputable global organization. Candidates are encouraged to highlight their academic achievements, any relevant project experience, and their enthusiasm for tackling complex data challenges in their applications.