Houston / Graduate / Number of vacancies: 2

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 models) and simulation models (Monte Carlo)
- Development, validation and audit of financial, risk, marketing and business-oriented models
- R&D; projects

Requirements
- Recent graduates or final year students.
- Postgraduate studies and/or specialised courses are an asset, especially in Data Science, Quantitative Finance or similar.
- Should desirably have knowledge of modeling techniques (logit, GLM, time series, decision trees, random forests, clustering, XGBoost), statistical programming languages (SAS, R, Python, Matlab), big data tools and platforms (Hadoop, Hive, etc.) and cloud platforms (AWS, Azure, GCP).
- Solid academic record.
- Knowledge of other languages is desirable.
- Get-up-and-go attitude, maturity, responsibility and strong work ethic.
- Strong ability to learn quickly.




- Able to integrate easily into multidisciplinary team

We Offer

The best environment to develop talent

We offer you the possibility to join a firm that provides all you need to develop your talent to the fullest:
- Working in the highest-profile consulting projects in the industry,
- for the largest companies, leaders of their respective markets,
- alongside top industry management as they face challenges at the national and integral level,
- as part of an extraordinary team of professionals whose values and corporate culture are a benchmark for the industry

Ongoing training plan

with approximately 10% of business turnover spent in training
- Specialist knowledge courses, external expert courses, professional skills courses and language courses.
- Last year our staff as a whole received over 400.000 hours of training spanning more than 160 courses.

Clearly defined career plan
- Internal promotion based

📌 DATA SCIENCE CONSULTANT HOUSTON (Santiago)
🏢 Management Solutions
📍 Santiago