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Przeglądana oferta pracy jest nieaktualna
PwC
Data aktualizacji: 2022-02-03
Warszawa, mazowieckie
Konsulting, Analiza
Data aktualizacji: 2022-02-03
PwC is a powerful network of over 250.000 people across 158 countries. All committed to deliver quality in Assurance, Tax, Advisory & Technology services. Match your curiosity with continuous opportunities to learn, grow and make an impact. Join PwC and be a game changer.

PwC is a powerful network of over 250.000 people across 158 countries. All committed to deliver quality in Assurance, Tax, Advisory & Technology services. Match your curiosity with continuous opportunities to learn, grow and make an impact. Be who you are and be a game changer.

 

Data Scientist in Data Analytics Team - Product Development

 

We are looking for candidates that are eager to develop their competences in the field of applied Data Science.
In your role, you will have a unique opportunity to test your machine learning skills by helping out with development of ML applications aimed for our clients in,  predominantly, the Financial Services (FS) sector.
You will be a part of the Data Analytics team in PwC Poland, consisting of 100+ members working on various projects from the area of Data Science and software development.

 

Role:

You will take on a Data Scientist role in a local product development team responsible for the analytical engine of one of our applications delivered on the US market. Your responsibilities will include: 

  • implementing data science functionalities in the application back-end, supporting their integration with other services;

  • building ML models based on business requirements and available data;

  • researching and introducing big data solutions to data science back-end in Spark with Python;

  • collaborating with international and intercultural teams;

  • working in Agile software development model.

 

It is expected that you will grow professional expertise through seeking knowledge, skills and hands-on experience in Data Science (through on-the-job learning, external events, conferences and training). 

 

Candidate’s profile:

  • At least 1 year of professional experience in Data Science;

  • Good knowledge of SQL;

  • Good knowledge of Python;

  • Experience with analyzing large data sets and good knowledge of machine learning algorithms;

  • Last-year master student or graduate (preferred Math, Computer Science, Economics, Physics, Operational Research or related);

  • Interest in Data Science and willingness to learn new tools and solutions;

  • Good command of the English language;

  • Strong interpersonal and communication skills — essential in day-to-day cooperation with clients and the team.

 

Additional assets will be:

  • Knowledge of Big Data ecosystems: Hadoop, Azure, Spark (PySpark/Scala, MLlib, GraphX);

  • Experience with app deployment technologies (Docker, Kubernetes).

 

Our offer:

  • Opportunity to develop skills in statistical modelling embedded in business reality;

  • Gaining knowledge and experience in the practical use of technology centered around Big Data on projects carried out for companies from different sectors;

  • Dynamic, project-driven work environment;

  • Excellent working conditions and a friendly working atmosphere;

  • Attractive compensation with additional benefits package.

PwC Advisory spółka z ograniczoną odpowiedzialnością sp.k. or another PwC entity which runs a recruitment process - list of entities: https://www.pwc.com/gx/en/about/office-locations/poland.html, with its registered seat in Warsaw (00-633), Polna 11 Street, („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.