Graduate Data Science & AI Consultant

Management Solutions, SL; Santiago; On-site; CLP 8,928,000 - 13,392,000; Full time

Benefits offered by this job

Paid work experience

Flexible hours

Career progression opportunities

Job summary

Management Solutions is seeking recent graduates or final-year students to join our data science and quantitative finance graduate program. You will undertake data mining, AI initiatives including generative AI, and predictive modeling using modern ML and DS techniques within a multidisciplinary team.

The role emphasizes ARIMA/time-series work, Monte Carlo simulations, and development/validation of financial and risk models, plus involvement in R&D projects and continuous training.

Qualifications

• Recent graduates or final year students.
• Postgraduate studies in Data Science or Quantitative Finance are assets.
• Knowledge of modeling techniques (logit, GLM, time series, trees, forests, clustering, XGBoost).
• Statistical programming languages: SAS, R, Python, Matlab.
• Big data tools and platforms: Hadoop, Hive, etc.
• Cloud platforms: AWS, Azure, GCP.
• Solid academic record.
• Willingness to learn quickly and ability to work in a multidisciplinary team.

Responsibilities

• Statistical data processing (Data Mining).
• Artificial Intelligence (AI), including generative AI.
• Predictive modeling using Machine Learning and Data Science techniques.
• Time-series modeling (ARIMA and panel data) and Monte Carlo simulations.
• Development, validation and audit of financial, risk, marketing and business models.
• R&D projects.

Skills

Data mining

Artificial intelligence

Predictive modeling

Time-series modeling

Monte Carlo

Discipline learning quickly

Education

Postgraduate studies in Data Science or Quantitative Finance

Solid academic record

Tools

SAS

R

Python

MATLAB

Hadoop

Hive

AWS

Azure

GCP

Job description

Management Solutions is seeking recent graduates or final-year students to join our data science and quantitative finance graduate program. You will undertake data mining, AI initiatives including generative AI, and predictive modeling using modern ML and DS techniques within a multidisciplinary team.

The role emphasizes ARIMA/time-series work, Monte Carlo simulations, and development/validation of financial and risk models, plus involvement in R&D projects and continuous training.