Position: Senior Associate D&A in Deals
Location: Madrid
Time Type: Full time
Posted On: 29 Days Ago
Job Requisition ID: 582352WD
Job Description & SummaryIn 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.
If you are able to see beyond the data, and you like to think independently, creatively, and freshly, then PwC Deals can offer a solid career in an area of growth where you will face all kinds of intellectual challenges and will be part of an international team formed by great specialists and consultants working together to solve the most challenging projects in the environment of mergers and acquisitions.
ResponsibilitiesData mining using state-of-the-art methods: clustering, classification, regression, and forecasting.Enhancing data collection procedures to include information that is relevant for building analytic systems.Extending the 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).Selecting features, building, and optimizing classifiers using machine learning techniques.Performing clustering, regression, and forecasting analysis.Developing GIS (Geographic Information Systems) and Text Analytics solutions.QualificationsUniversity Degree in STEM disciplines: Computer Science, Statistics, Mathematics, Physics, or Engineering.
A Master's Degree in Data and Analytics is desirable.Experience with common data science toolkits, such as Python or R. Excellence in at least one of these is highly desirable.Excellent applied understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Random Forests.Experience required in Data Analytics and tools such as Power BI, Power Query, or Power Pivot.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 UsYou know us.
We want to know you.
Your career is just that; yours.
You choose it.
You live it.
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