Job Description & Summary

With offices across 149 countries and more than 370,000 people, we are among the leading professional services networks in the world. The Data Science team is positioned within the Risk Assurance Services (RAS) unit, which undertakes a variety of complex information security consulting engagements, and business control reviews across a wide range of organizations. 

About the team:

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. 

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

Work with data from diverse structured and unstructured data sources in both batch and streaming modes 

Consult clients or internal teams to prepare complex data analyses and models that help solve client problems and deliver significant measurable impact 

Manage the entire analytical process – from outlining the type of solution through implementation, interpretation of results and transferring capabilities to the client or colleagues

Constructively discuss your findings in collaboration with consultants and clients while always looking for the best solution. Working on projects and exchanging experiences with your colleagues means you will face new intellectual challenges on a daily basis while continuously building your methodological knowledge and skills

Develop internal accelerators for prototyping that may be used later to solve client problems

Work closely with the Data Science Team Lead on business development opportunities and support demos for prospective clients 

Mentor, coach, and review the work of junior data scientists 

Skills & experience:

Degree in computer science, engineering, applied mathematics, statistics, quantitative social sciences or related fields

5+ years of programming experience with languages such as Python, R, and SQL

Proven application of advanced analytical, data science and statistical methods in industries like financial services, retail, and technology

Hands-on experience in the following machine learning domains:

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),  Generative Adversarial Network (GAN)

Exposure to big data processing tools, such as Azure, PySpark, DataBricks, etc. 

Exposure to ML Ops, GitHub, Docker, is a plus

Excellent problem-solving and quantitative skills, including the ability to disaggregate issues, identify root causes, and recommend solutions

Proven leadership with the ability to inspire others, build strong relationships, and create true followership, result-driven achievers

Strong people skills, team-orientation, and a professional attitude

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, sports card

Opportunity to work from home

We are for all. Through our strategy, we are focused on fostering a culture of belonging and equity where a diverse community of solvers can thrive and feel like they truly belong.

If you want to grow professionally in an outstanding work environment, please apply online by 14 February.

PricewaterhouseCoopers d.o.o. Beograd or PricewaterhouseCoopers Consulting d.o.o. Beograd, which runs a recruitment process, with its registered seat in Belgrade, Omladinskih brigada Street no. 88a („PwC” or “we”) will be the controller of your personal data submitted in your application for a job. Your personal data will be processed for the purpose of performing a recruitment process for the job offered. If you give us explicit consent, your personal data will be also processed for participation in further recruitment processes conducted by PwC and sending notifications about job offers in PwC or job related events organized or with the participation of PwC such as career fair. A full information about processing your personal data is available in our Privacy Policy.