DATA SCIENCE CONSULTANT COLUMBUS

About the role

This position involves statistical data processing, data mining, artificial intelligence (AI) including generative AI, and predictive modeling using machine learning and data science techniques. Key responsibilities include time-series modeling (ARIMA and panel data models), simulation models (Monte Carlo), and the development, validation, and audit of financial, risk, marketing, and business-oriented models. The role also encompasses participation in R&D projects.

Requirements

• Recent graduates or final-year students; postgraduate studies and/or specialized courses (e.g., Data Science, Quantitative Finance) are an asset.
• Knowledge of modeling techniques such as logit, GLM, time series, decision trees, random forests, clustering, and XGBoost.
• Proficiency in statistical programming languages (SAS, R, Python, Matlab).
• Familiarity with big data tools and platforms (Hadoop, Hive, etc.) and cloud platforms (AWS, Azure, GCP).
• Solid academic record and strong computer skills.
• Knowledge of additional languages is desirable.
• Proactive attitude, maturity, responsibility, and a strong work ethic.
• Ability to learn quickly and integrate into multidisciplinary teams.

Benefits

• Opportunity to work on high-profile consulting projects for industry-leading companies alongside top management.
• Ongoing training plan, with approximately 10% of business turnover invested in training (over 400,000 hours of training across 160+ courses last year).
• Specialist knowledge courses, external expert courses, professional skills courses, and language courses.
• Clearly defined career plan with internal promotion based solely on merit.
• Opportunity to become a partner in the firm through a partnership-based management model.
• Complementary experiences, including university collaborations, social action initiatives (30+ community support activities), and a sports club with internal and external tournaments.

For more information, visit www.managementsolutions.com.