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Software engineer
- Location
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- Type
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- Posted
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PFE | AI & Digital Transformation Intern | AI-Assisted Analytics for Abacus360 Migration Delivery
- Type
- Full time
- Posted
- 7D AGO
About the role
At Regnology our greatest asset is our people. We value diversity and foster an inclusive environment that supports learning, safety, and growth. By investing in our team, listening to customers, and encouraging creativity, we drive continuous innovation and improvement.
We offer a flexible, innovative environment where your ideas matter and your career can thrive.
Regnology is a global leader in regulatory reporting, helping financial institutions, regulators, and tax authorities improve data quality, efficiency, and cost savings. Our mission: to safeguard financial markets through smarter, future-ready solutions.
AI-Assisted Analytics for Abacus360 Migration Delivery
Project Description
This internship offers an opportunity to explore how AI-assisted data analysis can support the planning, monitoring, and delivery of migration projects to Regnology's Abacus360 Banking platform.
You will gain practical experience in data analysis, project monitoring, AI-assisted insights, and Agile project delivery. You will explore how data-driven approaches can help identify project risks, track progress, detect potential delays, and support decision-making throughout the migration lifecycle.
Responsibilities
During this internship, you will have the opportunity to:
- Explore how AI-assisted analytics can support Abacus360 Banking migration projects.
- Analyze project data to identify trends, risks, delays, and potential bottlenecks.
- Develop indicators to monitor migration progress and project performance.
- Investigate how AI can help summarize project information and generate actionable insights.
- Explore approaches to identifying risks and supporting informed decision-making.
- Apply Agile principles to organize tasks, monitor progress, and incorporate feedback.
- Develop a prototype or proof of concept demonstrating AI-assisted project analytics.
- Document findings, recommendations, and reusable guidelines for migration project delivery.
- Collaborate with team members to evaluate the proposed framework and identify opportunities for improvement.
Why we should decide on you
We are looking for a motivated final-year student pursuing a degree in Computer Science, Data Science, Information Technology, or a related field, with an interest in artificial intelligence, data-driven decision-making, and project delivery.
Academic background
- Final-year student in a relevant technical degree.
- Interest in data analysis, AI, or project management.
- Basic understanding of data-processing and analytical concepts.
Skills and Qualities
- Strong analytical thinking and problem-solving skills.
- Ability to interpret information and identify meaningful patterns.
- Interest in AI-assisted analytics and Agile methodologies.
- Attention to detail and a structured approach to tasks.
- Good communication and teamwork abilities.
- Proactive mindset and willingness to learn.
Previous experience in data analytics, AI, or project management is an advantage but not mandatory.
Recruitment Process
- HR Interview: Discussion of your academic background, motivation, communication skills, and interest in the internship.
- Technical Interview: Assessment of your analytical thinking, problem-solving abilities, understanding of data analysis and AI concepts, and motivation to learn about migration project delivery.
If you are eager to explore the intersection of artificial intelligence, data analytics, and project management, this internship offers an opportunity to develop your skills in an international professional environment and gain valuable insight into Agile migration delivery and financial regulatory technology.
Apply now!
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