Trainee Consultant – Data Science & AI

Location: Seattle, WA or Houston, TX

Employment Type: Full-time (40 hours/week)

Start Date: Immediate joining required

About Applexus

Applexus is a global technology and business consulting firm founded in 2005 and headquartered in Seattle, with delivery centers across Canada, the UK, and India. Building on deep SAP and enterprise platform expertise, we deliver AI-driven transformation across SAP S/4HANA, data modernization, analytics, and cloud-native architectures. Our AI Practice combines proprietary accelerators with SAP domain knowledge, with a strong focus on Agentic AI, to help organizations move from AI exploration to production-ready, governed, and scalable solutions.

About the Role

We’re looking for a motivated Trainee Consultant – Data Science to work on real-world ML and data science projects under the mentorship of experienced professionals. This role is open to freshers and candidates with 1–2 years of experience who are eager to build hands-on AI/ML skills.

Key Responsibilities

• Assist in designing, developing, and evaluating machine learning models.
• Perform data cleaning, preprocessing, and feature engineering.
• Contribute to projects in predictive modeling, NLP, or computer vision using Python, Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch.
• Collaborate with the team to analyze results, generate insights, and document work, models, and findings.

Qualifications

• Master’s degree in Data Science, AI, or a related field from an accredited U.S. university.
• Freshers or 0–2 years of relevant experience (internships and academic projects count).
• Proficiency in Python and familiarity with scikit-learn, TensorFlow, PyTorch, or Keras.
• Solid grounding in statistics, linear algebra, and core ML algorithms.
• Strong analytical and problem-solving skills, and the ability to work independently and in a team.
• Available to join immediately.

What You’ll Gain

• Hands-on experience with leading AI/ML technologies and mentorship from experienced professionals.
• The chance to contribute to real-world projects with measurable impact.