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Mon Jun 17 2024
PwC BulgariaLogo

Data Science Senior Specialist

PwC Bulgaria

Bulgaria (Sofia) Hybrid

English

Employment Type: Full-time
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Job Description

As a data scientist 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:

  • Graduate / postgraduate or Ph.D. degree in computer science, engineering, applied mathematics, statistics, quantitative social sciences or related fields
  • 2 to 5 years of relevant experience providing advanced analytics in a financial services, retail, marketing, or other front office context
  • Programming experience in a number of the following technologies: Python, R and/or SQL
  • Good knowledge of statistical approaches including the following machine learning domains, such as:

1) Regression e.g. Linear Regression, Generalized Linear Model, Lasso, Ridge, Elastic Net

2) Classification e.g. Logistic Regression, Support Vector Machine (SVM), k-Nearest Neighbors (KNN)

3) Unsupervised ML e.g. Kernel Density Estimation (KDE), k-Means Clustering, DBSCAN, Gaussian Mixture Model (GMM)

4) Ensembles e.g. Random Forest, XGBoost, Light GBM, Stacking Regressor,, Isolation Forest

5) Deep Learning e.g. Multilayer Perceptron (MLP), Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), Long Short-Term Memory Network (LSTM)

  • Hands-on experience with some of the following popular data science Python libraries: Pandas, Numpy, SciPy, Scikit-Learn, Matplotlib, Plotly, Seaborn, Statsmodels, TensorFlow, Keras, PyTorch, Prophet, XGBoost, LightGBM
  • Exposure to big data processing tools, such as Azure, PySpark, DataBricks, etc. is a plus
  • Exposure to ML Ops, GitHub, Docker, is a plus
  • 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 programme including additional medical insurance, food vouchers, sports card, fringe benefit
  • Central office location
  • Opportunity to work from home

Only short-listed candidates will be contacted.

Apply for this job
🍀 Please mention you found the job on EU Data Jobs. It helps us reach out to more companies. We wish you lots of success! 🍀

About the Company

With offices in 152 countries and more than 364,000 people, we are among the leading professional services networks in the world. We help organizations and individuals create the value they are looking for, by delivering quality in assurance, tax, and advisory services. The Data Science team is positioned within the Risk Assurance Services (RAS) unit, which is an integral part of the overall Assurance practice. RAS undertakes a variety of complex information security consulting engagements, and business control reviews across a wide range of organizations.

We deliver actionable, data-driven insights to help our clients enhance operational processes and improve their 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 uses machine learning techniques and proprietary models to uncover results that can bring positive value to our clients.

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