DATA SCIENCE CONSULTANT A CORUÑA

Management Solutions; La Coruña; Presencial; EUR 30.000 - 50.000; Jornada completa

Descripción de la vacante

A leading consulting firm in La Coruña is seeking recent graduates or final year students in quantitative fields for key projects in data mining and predictive modeling. The role requires knowledge of statistical programming and modeling techniques. The firm offers an exceptional environment for talent development, with a significant investment in ongoing training and clearly defined career advancement opportunities. Applicants should have a solid academic record and the ability to learn quickly.

Servicios

Working in high-profile consulting projects

Ongoing training and development

Clearly defined career plans

Formación

• Recent graduates or final year students from quantitative disciplines.
• Postgraduate studies and/or specialized courses are an asset.
• Solid academic record.
• Get-up-and-go attitude and strong work ethic.

Responsabilidades

• Work on key projects for leading organizations.
• Involve predictive modeling and trend modeling.
• Collaborate with multidisciplinary teams.

Conocimientos

Modeling techniques

Statistical programming languages (SAS, R, Python, Matlab)

Big data tools and platforms (Hadoop, Hive)

Strong ability to learn quickly

Strong computer skills

Knowledge of other languages

Educación

Master's degree in Mathematics, Physics, Statistics, Econometrics

Postgraduate studies in Data Science or Quantitative Finance

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.
• Strong computer skills.
• 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 in 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 400.000 hours of training spanning more than 160 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 experiencies

• 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.