Data Science Expert

At PwC, we help clients build trust and reinvent so they can turn complexity into competitive advantage. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help build, accelerate and sustain momentum.

About the team:

We deliver actionable, data-driven insights to assist our clients in refining operational processes and gaining a better understanding of customers. Examples of our solutions include pricing, product range and branch optimization, employee staffing and scheduling, customer segmentation, product recommenders, and customer lifetime value estimation. We combine unrivaled external and internal data sets to solve problems for clients across sectors, such as retail, financial services, and technology. Our team of data scientists and industry experts leverages advanced machine learning techniques and large language models (LLMs), alongside proprietary models, to uncover insights that deliver tangible value to our clients.

The role:

As a Data Science Expert at PwC, you will work with other data scientists, data engineers, machine learning engineers, designers, and project managers on interdisciplinary projects using statistics and machine learning to derive structure and knowledge from raw data across various industry sectors.

Duties and responsibilities:

• Work in a multidisciplinary environment harnessing data to provide real-world impact for our clients based in the Southern and Eastern European (SEE) region, Central Europe, the UK, North America, and the Middle East;
• Influence many of the recommendations our clients need to positively change their businesses and enhance performance;
• Work on complex and extremely varied data sets from some of the world’s largest organizations to solve real-world problems;
• Develop internal tools for prototyping that might be used later to solve client problems. This includes application of object-oriented programming (OOP) principles;
• Write highly optimized code to advance our internal Data Science accelerators;
• Develop materials for assisting client pitches, engage in thought leadership activities, and contribute to the learning and development of colleagues;
• Have the opportunity to improve your technical skills, learn new technologies, and enhance your communication skills through various internal development programs.

Skills & experience:

• Degree in a STEM field (e.g., computer science, engineering, applied mathematics, statistics, quantitative social sciences or related areas);
• Programming experience with Python/R/MATLAB/SPSS in a data science context
• Good knowledge of statistical approaches in one or more of the following machine learning domains, such as:

– Regression (e.g., Linear Regression, Generalized Linear Model, Lasso, Ridge, Elastic Net)
– Classification (e.g., Logistic Regression, Support Vector Machine (SVM), k-Nearest Neighbors (KNN))
– Unsupervised ML (e.g., Kernel Density Estimation (KDE), k-Means Clustering, DBSCAN, Gaussian Mixture Model (GMM))
– Ensembles (e.g., Random Forest, XGBoost, Light GBM, Stacking Regressor, Isolation Forest)
– Deep Learning (e.g., Multilayer Perceptron (MLP), Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), Long Short-Term Memory Network (LSTM)

• Good presentation and communication skills with the ability to explain complex analytical concepts to people from other fields;
• Fluency in English.

What we offer:

• Professional, positive, and team-oriented working environment;
• Professional experience in an international setting;
• Company training and excellent opportunities for professional and career growth;
• Challenging and interesting projects;
• Competitive remuneration and employee benefit program;
• Convenient office location;
• Opportunity to work from home.

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