Deals | Senior Associate D&A Location: Madrid
Time Type: Full time
Posted On: Posted 29 Days Ago
Job Requisition ID: 582352WD
Job Description & Summary In PwC Deals, we help our clients successfully carry out transactions, 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, evaluate the best business strategies to follow, and help implement necessary changes to take advantage of synergies and improvements after a transaction.
If you can see beyond the data and think independently, creatively, and freshly, then PwC Deals can offer a solid career in an area of growth where you will face various intellectual challenges and be part of an international team of specialists and consultants working together to solve the most challenging projects in the environment of mergers and acquisitions.
We are looking for a Senior Data Scientist with: 2-4 years of experience. The ability to help discover hidden information in vast amounts of data and assist clients in making smarter decisions. Responsibilities Data mining using state-of-the-art methods: clustering, classification, regression, and forecasting. Enhancing data collection procedures to include relevant information for building analytic systems. Extending company data with third-party sources of information when needed. Processing, cleansing, and verifying the integrity of data used for analysis. Conducting ad-hoc analysis and presenting results clearly (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. Qualifications University 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 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. A data-oriented personality. About Us You know us.
We want to know you.
Your career is just that; yours.
You choose it.
You live it.
#J-18808-Ljbffr