Deals | Associate Data Scientist

PwC España; Madrid; Presencial; EUR 30.000 - 42.000; Jornada completa

Descripción de la vacante

PwC España is seeking a Junior Data Scientist to uncover information from large data sets and help clients make smarter decisions. You will develop ML and time series models, and integrate solutions across sectors to deliver value.

The role focuses on building insights from process data, applying modern programming techniques, and collaborating with cross‑functional teams in a fast‑paced environment in Madrid, Spain.

Formación

• University Degree in STEM disciplines is required.
• Master's degree in data and analytics is desirable.

Responsabilidades

• Develop state‑of‑the‑art models: clustering, classification, sentiment analysis, forecasting, web scraping and others.
• Enhance data collection procedures to include information relevant for building analytic systems.
• Extend company’s data with third party sources of information when needed.
• Process, cleanse, and verify the integrity of data used for analysis.
• Perform ad‑hoc analyses and present results clearly (data visualization).
• Develop GIS and Text Analytics solutions.
• Collaborate with other project members inside, Azure and GitHub.

Conocimientos

Python

Machine learning basics

Power BI & Power Query

Statistics

Spanish & English

Communication skills

Data analytics

Azure

GitHub

Educación

University Degree in STEM

Master's in Data & Analytics desirable

Herramientas

Azure

GitHub

Descripción del empleo

Job Description & Summary

We are looking for a Junior Data Scientist with 0-2 years of experience that will help us discover the information hidden in vast amounts of data, and help our clients make smarter decisions.

Job Description & Summary

We are looking for a Junior Data Scientist with 0-2 years of experience that will help us discover the information hidden in vast amounts of data, and help our clients make smarter decisions. Our team carries out all kinds of innovative projects, applying the latest advances in programming and technology to deliver cutting‑edge solutions to our clients. Your primary focus will be in developing ML, time series models and addhoc models to extract insights from the process data and applying our solutions in all types of sectors, integrating our solutions into their services.

Responsibilities

• Develop state‑of‑the‑art models: clustering, classification, sentiment analysis, forecasting, web scraping and others.
• Enhancing data collection procedures to include information that is relevant for building analytic systems.
• Extending company’s data with third party sources of information when needed.
• Processing, cleansing, and verifying the integrity of data used for analysis.
• Doing ad‑hoc analysis and presenting results in a clear manner (data visualization).
• Develop GIS (Geographic Information Systems) and Text Analytics solutions.
• Collaborate with other members in projects inside, Azure and GitHub.

Qualifications

• University Degree in STEM disciplines: Mathematics, Computer Science, Statistics, Physics or Engineering.
• Master's degree in data and Analytics is desirable.

Experience And Skills

• Excellence with Python.
• Experience applying and understanding of machine learning techniques, such as k-NN, Naive Bayes, SVM, Random Forests, etc.
• Experience in Data Analytics and tools such as Power BI, Power Query or Power Pivot is desirable.
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.
• Proficiency in Spanish and English.
• Good communication skills, both written and oral.
• Data-oriented personality.

About PwC Deals

In PwC Deals we help our clients to successfully carry out a transaction, whether it is buying or selling a business or company, and creating value through their merger, acquisition, financing, divestment and restructuring processes. We work together with our clients to develop the appropriate strategy before each operation. We also evaluate the best business strategies to follow in each case, and help to implement the necessary changes to take advantage of synergies and improvements after a transaction.