Lima / Graduate / Number of vacancies: 5 You will be working on key projects for leading organizations in data mining & knowledge discovery, predictive modeling, trend modeling, simulation models (Monte Carlo), review of credit rating and scoring models, and providing quantitative support to business and R&D projects. Requirements Final year students from disciplines related to Mathematics, Physics, Statistics, Econometrics, or other quantitative fields. Postgraduate studies or specialized courses are an asset, especially in Data Science, Quantitative Finance, or similar. Knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering), statistical programming languages (SAS, R, Python, Matlab), and big data tools/platforms (Hadoop, Hive, etc.) is desirable. Solid academic record. Knowledge of additional languages is a plus. Proactive attitude, maturity, responsibility, and strong work ethic. Quick learner with the ability to adapt easily into multidisciplinary teams. What We Offer The best environment to develop your talent: Participation in high-profile consulting projects with large, market-leading companies. Collaboration with top industry management on national and global challenges. Part of an extraordinary team whose values and culture are industry benchmarks. Ongoing training plan, with approximately 10% of business turnover invested in training: Specialist, external expert, professional skills, and language courses. Last year, our staff received over 375,000 hours of training across more than 150 courses. Career Development Clear career progression plan. Internal promotion based on merit. Partnership-based management model offering opportunities to become part of the firm's group of partners. Additional Experiences Strong links with prestigious universities. Community support activities organized regularly. Participation in sports tournaments. For more information about Management Solutions and our career opportunities, visit: www.managementsolutions.com We are committed to equal opportunities. All qualified applicants will be considered regardless of race, color, religion, national origin, sex, gender identity, sexual orientation, age, marital status, disability, or any other protected characteristic. #J-18808-Ljbffr