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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 a ML-driven applications aimed for our clients in, predominantly, the Financial Services (FS) sector.
Role:
You will take on a Data Scientist role in a local product development team, within the Data Analytics department, responsible for the analytical engine of one of our applications delivered on the US market. Your responsibilities will include:
- Implementing DS functionalities in the application back-end, supporting their integration with other services;
- Researching and introducing big data solutions to DS back-end in Spark with Python;
- Developing ETL layer on 1st and 3rd party data models;
- Participating in product development cycle activities: defect management, resolution process, Git repository maintenance, new feature design and implementation ;
- Maintaining documentation (technical descriptions ,user guides, business prospectus);
- 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) as well as share your acquired knowledge with junior staff.
Candidate’s profile:
- At least 1 year of professional experience in Data Science - preferably on projects with FS sector or in DS departments in FS sector;
- Good knowledge of SQL;
- Good knowledge of Python;
- Experience with analysis of 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.
Send your application today! In case you have any additional questions, contact us: pl_ITrecruitment@pwc.com.