Buen Sueldo : DATA SCIENCE CONSULTANT LONDON...

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 (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 :

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

Clear career progression plan :

Additional experiences :

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

We promote equal opportunities. All qualified applicants are considered regardless of race, color, religion, national origin, sex, gender identity, sexual orientation, age, marital status, disability, or other protected characteristics.

Management Solutions is an international consulting firm delivering business, risk, financial, organizational, and technological 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 agreements with top universities to offer students initial business experience, paid internships, flexible hours, and potential employment upon graduation.

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