DATA SCIENCE CONSULTANT LONDON

Management Solutions, SL; Bogotá; Presencial; COP 80.000.000 - 120.000.000; Jornada completa

Descripción de la vacante

An international consulting firm is offering an internship focused on data mining, predictive modeling, and quantitative analysis for major clients. Ideal candidates are recent graduates or final-year students in quantitative fields with a proactive attitude and strong programming skills. The internship promises extensive training, collaboration with industry leaders, and possible career progression upon graduation.

Servicios

Ongoing training with specialist courses

Flexibility with working hours

Clear career progression paths

Formación

• Solid academic record is required.
• Knowledge of additional languages is desirable.
• Ability to learn quickly and adapt to new challenges.

Responsabilidades

• Working on projects involving data mining and predictive modeling.
• Providing quantitative support to business and R&D projects.
• Reviewing credit rating and scoring models.

Conocimientos

Knowledge of modeling techniques

Statistical programming languages

Proactive attitude

Ability to integrate into multidisciplinary teams

Educación

Recent graduates or final year students in Mathematics, Physics, Statistics, or Econometrics

Postgraduate studies in Data Science

Herramientas

SAS

R

Python

Matlab

Hadoop

Hive

Descripción del empleo

London / Internship / Number of vacancies: 2

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

• Recent graduates or final year students in disciplines related to Mathematics, Physics, Statistics, Econometrics, or other quantitative fields.
• Postgraduate studies or specialized courses in Data Science, Quantitative Finance, or similar are an asset.
• 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.).
• Solid academic record.
• Knowledge of additional languages is desirable.
• Proactive attitude, maturity, responsibility, and strong work ethic.
• Ability to learn quickly.
• Ability to integrate easily into multidisciplinary teams.

What We Offer

The best environment to develop your talent:

• Work on high-profile consulting projects for major companies leading their markets.
• Collaborate with top industry management on national and global challenges.
• Be part of an extraordinary team whose values and culture set industry standards.

Ongoing training, with about 10% of business turnover invested in development:

• Specialist courses, external expert courses, professional skills, and language training.
• Last year, staff received over 375,000 hours of training across more than 150 courses.

Clear career progression paths:

• Internal promotions based solely on merit.
• Partnership-based management model offering opportunities to become a partner.

Additional experiences:

• Strong relationships with prestigious universities.
• Community support activities (over 30 events annually).
• Internal and external sports tournaments.

For more information about Management Solutions and our career opportunities, visit: www.managementsolutions.com

About Management Solutions

We are an international consulting firm dedicated to delivering business, risk, financial, organizational, and process advisory services, focusing on both functional aspects and technology implementation.

If you are in your final years of study, we encourage you to apply. We have partnerships with top universities to offer students initial industry experience, paid internships, flexible hours, and potential employment upon graduation.

We are committed to equal opportunity employment, considering all qualified applicants regardless of race, color, religion, national origin, sex, gender identity, sexual orientation, age, marital status, disability, or other protected characteristics.