Junior AI / Data Engineering Analyst
Junior AI / Data Engineering Analyst
Junior AI / Data Engineering Analyst
Location: Orlando, FL, USA (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent
Launch your career in AI, Data Engineering, and Analytics while working on innovative solutions for leading financial services organizations.
The Role
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.
What You’ll Do
- 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
What We’re Looking For
- 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
Bonus Points For
- 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
Why Join Capco
- Deliver high-impact technology solutions for Tier 1 financial institutions
- Work in a collaborative, flat, and entrepreneurial consulting culture
- Access continuous learning, training, and industry certifications
- Be part of a team shaping the future of digital financial services
- Help shape the future of digital transformation across FS & Energy
Benefits
- Medical, Dental, Vision, and 401(k) match
- Maternity and paternity leave, dependent care support, and commuter benefits
- Tuition reimbursement and wellness reimbursement programs
- Health Savings Account (HSA) and Flexible Spending Account (FSA) options
- Access to Working Advantage employee discount marketplace
Inclusion at Capco
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.
Use of Artificial Intelligence in Talent Acquisition
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.