Junior AI / Data Engineering Analyst

Junior AI / Data Engineering Analyst

Location: Orlando, FL, USA (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent

We are seeking motivated early-career talent interested in building careers in Artificial Intelligence, Data Science, and Data Engineering to join our growing Technology & Engineering practice. This role is designed for candidates who are eager to learn, experiment with emerging technologies, and contribute to real-world data and AI initiatives within financial services.

You’ll work alongside experienced engineers, data scientists, and technical leaders while gaining hands-on exposure to AI applications, data platforms, analytics, and modern software development practices.

• →Support the development of AI, data, and analytics solutions for business and technology teams
• →Assist with building and maintaining data pipelines, APIs, and cloud-based workflows
• →Contribute to AI and machine learning initiatives involving generative AI, automation, and predictive analytics
• →Collaborate with agile, cross-functional teams on software development, testing, deployment, and technical documentation
• →Work with structured and unstructured datasets to generate insights and improve business processes

• Bachelor’s degree (or upcoming graduation) in Computer Science, Data Science, Information Systems, Engineering, Mathematics, or a related technical field
• Exposure to programming languages such as Python, SQL, Java, or JavaScript through coursework, internships, bootcamps, or personal projects
• Interest in AI, machine learning, data engineering, analytics, or cloud technologies
• Strong analytical thinking, problem-solving, communication, and collaboration skills
• Demonstrated curiosity, adaptability, and willingness to learn new technologies in a team-oriented environment

• Internship, academic, or personal project experience involving AI, analytics, or data engineering
• Exposure to cloud platforms such as AWS, Azure, or Google Cloud
• Familiarity with machine learning concepts, ETL pipelines, dashboards, or data visualization tools
• Experience using Git, Jupyter Notebooks, Tableau, Power BI, Spark, Databricks, or similar technologies
• Awareness of generative AI, LLMs, prompt engineering, or AI development frameworks

We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.

AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.

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