Associate Business Intelligence Analyst

Associate Business Intelligence Analyst

We are seeking AI / Machine Learning Engineers (Campus Hiring) to join our Analytics & Automation team. This role is designed for early-career professionals who are eager to apply AI and machine-learning concepts to real-world business problems and grow within an enterprise analytics environment.

As an AI/ML Engineer, you will work under the guidance of senior engineers and architects, contributing to model development, data analysis, and AI-driven automation initiatives. This role offers hands-on exposure to the full AI/ML lifecycle, from data preparation to model evaluation and deployment.

Machine Learning & Analytics

• · Assist in building, training, and evaluating machine-learning models (classification, regression, clustering, basic NLP).

• · Perform data preprocessing, feature engineering, and exploratory data analysis (EDA).

• · Support experimentation, model validation, and result interpretation.

• · Document model logic, assumptions, and outcomes.

  Data & Engineering

• · Work with structured data using Python and SQL.

• · Support data extraction, transformation, and loading for AI/ML use cases.

• · Learn and follow best practices for model versioning, reproducibility, and quality checks.

  Automation & Collaboration

• · Contribute to AI-driven automation and analytical solutions.

• · Collaborate with BI, Data Engineering, and Business teams.

• · Participate in Agile ceremonies such as sprint planning, stand-ups, and reviews.

Required Qualifications

• Bachelor’s degree in Computer Science, Data Science, AI/ML, Statistics, Mathematics, or related fields (or graduating soon).

• Strong foundation in Python programming.

• Basic understanding of machine-learning concepts, including:

• Supervised and unsupervised learning

• Overfitting vs. underfitting

• Model evaluation metrics (accuracy, precision, recall, RMSE)

• Basic knowledge of SQL for querying and data analysis.

• Familiarity with ML libraries such as:

• Pandas, numpy, scikit-learn, matplotlib (or equivalents)

Why should you join Diebold Nixdorf?

Brightest minds + technology and innovation + business transformation  The people of Diebold Nixdorf are 23,000+ teammates of diverse talents and expertise in more than 130 countries, harnessing future technologies to deliver personalized, secure consumer experiences that connect people to commerce. Our culture is fueled by our values of collaboration, decisiveness, urgency, willingness to change, and accountability.

–Diebold Nixdorf is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity, age, marital status, veteran status, or disability status.

** To all recruitment agencies: Diebold Nixdorf does not accept agency resumes. Please do not forward resumes to our jobs alias, Diebold Nixdorf employees or any other organization location. Diebold Nixdorf is not responsible for any fees related to unsolicited resumes**

We are a global Company operating in multiple Locations and Entities. As we are keen to find the best solution for our candidates several legal entities might be applicable for a Job offer. A List of our operating entities can be found here - https://www.dieboldnixdorf.com/en-us/about-us/global-locations

Experience Level

Mid Level