¡Activa las notificaciones laborales por email!

DATA SCIENCE CONSULTANT MÁLAGA

Management Solutions, S.L

Málaga

Presencial

EUR 30.000 - 60.000

Jornada completa

Hace 30+ días

Mejora tus posibilidades de llegar a la entrevista

Elabora un currículum adaptado a la vacante para tener más posibilidades de triunfar.

Descripción de la vacante

Una firma de consultoría de renombre busca graduados recientes o estudiantes de último año en campos cuantitativos para unirse a su equipo. Esta emocionante oportunidad implica trabajar en proyectos de minería de datos y modelado predictivo para importantes organizaciones. Los candidatos ideales tendrán un sólido historial académico y habilidades en lenguajes de programación estadística como SAS, R y Python, así como un deseo de aprender y crecer en un entorno colaborativo. La empresa ofrece un entorno de trabajo enriquecedor con un plan de formación continuo y un plan de carrera claramente definido, brindando a los profesionales la oportunidad de convertirse en socios de la firma. Si estás listo para enfrentar desafíos y desarrollar tu talento, esta es la oportunidad perfecta para ti.

Servicios

Plan de formación continua
Actividades de acción social
Club deportivo
Oportunidades de promoción interna
Experiencias complementarias con universidades

Formación

  • Se buscan graduados recientes o estudiantes de último año en campos cuantitativos.
  • Conocimientos deseables en técnicas de modelado y programación estadística.

Responsabilidades

  • Trabajar en proyectos clave de minería de datos y modelado predictivo.
  • Colaborar con equipos multidisciplinarios en desafíos a nivel nacional e internacional.

Conocimientos

Técnicas de modelado (logit, GLM, series temporales, árboles de decisión)
Lenguajes de programación estadística (SAS, R, Python, Matlab)
Herramientas y plataformas de big data (Hadoop, Hive)
Capacidad de aprendizaje rápido
Trabajo en equipo multidisciplinario

Educación

Grado en Matemáticas, Física, Estadística, Econometría u otros campos cuantitativos
Máster en Ciencias de Datos o Finanzas Cuantitativas
Cursos especializados en áreas relacionadas

Herramientas

SAS
R
Python
Matlab
Hadoop
Hive

Descripción del empleo

You will be working in 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 quant support to the business and R&D projects.

Requirements

  • Recent graduates or final year students from disciplines relating to Mathematics, Physics, Statistics, Econometrics, or other Quantitative fields. A Master's degree qualification will be taken into account when determining salary conditions.
  • 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), statistical programming languages (SAS, R, Python, Matlab), and big data tools and platforms (Hadoop, Hive, etc.).
  • 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 teams.

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 global 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 on training:

  • 600 hours of training during the first two years.
  • Specialist knowledge courses, external expert courses, professional skills courses, and language courses.
  • Last year our staff as a whole received over 330,000 hours of training spanning more than 750 courses.
  • Every new joiner is enrolled in our degree in Business Consulting Management Solutions-ICADE Business School, offering a specialization in Big Data and Data Science for professionals with a technological or mathematical background.

Clearly Defined Career Plan

  • Internal promotion based solely on merit.
  • Partnership-based management model offers all professionals the opportunity to become part of the Firm’s group of partners.

Complementary Experiences

  • University: we maintain a close relationship with the world’s most prestigious universities.
  • Social Action: we organize more than 30 community support activities.
  • Sports Club: internal and external tournaments.

For more information about Management Solutions and the professional careers we offer, we invite you to visit our website at: www.managementsolutions.com

At Management Solutions, we believe in equal opportunities. In our selection process, all qualified applicants are equally considered for employment regardless of race, color, religion, national origin, sex, gender identity, sexual orientation, age, marital status, disability, and any other characteristic protected by law.

More on Management Solutions: Management Solutions is an international consulting firm whose core mission is to deliver business, risk, financial, organisational, and process-related advisory services, targeting both functional aspects and the implementation of related technologies.

Are you a student? If you are in the final years of your degree, we would also like to hear from you. Management Solutions has agreements with the most prestigious universities to offer students their first experience with the business world. The Firm offers paid work experience and flexible hours with the possibility of students becoming part of the Firm upon graduation.

Consigue la evaluación confidencial y gratuita de tu currículum.
o arrastra un archivo en formato PDF, DOC, DOCX, ODT o PAGES de hasta 5 MB.