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Data Scientist / Consultant

We are looking for a Data Scientist / Consultant with strong business acumen and good understanding of the modern advanced analytics landscape. As a PwC Data Scientist / Consultant you will have an unique opportunity to apply your analytical skills in solving real business problems in industries such as Banking, Insurance, Retail, FMCG and various others. You’ll work both in Poland and abroad.

You will join PwC Data Analytics — a team of specialists in econometrics, machine learning, statistics and its applications. Our team consists of people with various backgrounds (economics, finance, mathematics, physics and engineering) and degree of seniority (from juniors with 1-2 years of experience to industry leaders with over 10+ years experience on the market). We aim to deliver end-to-end solutions by collaborating heavily with experts from other PwC teams (Strategy & Operations, Financial Services, Digital Transformation etc.), developers and IT professionals.

Role

As a Data Scientist / Consultant you will be tasked with developing data driven solutions for our Clients, using common data science technologies (such as R or Python) and other applications (SQL Server, Tableau, PowerBI). You will work closely with PwC industry experts and Clients.

You will manage parts of large projects and run smaller projects under direct supervision of more experienced team members. You will closely work with higher management and actively participate in a proposal-making process within your area of expertise.

As a PwC Data Scientist / Consultant you will grow professional expertise by seeking knowledge, skills and hands-on experience in advanced analytics (through on the job learning, external events, conferences and training) as well as share best practices with other team members.

Candidate’s profile:

• At least 2 years of relevant professional experience;

• Excellent analytical and problem-solving skills, including the ability to independently disaggregate issues, identify root causes and recommend solutions;

• Hands-on understanding of most popular machine learning algorithms;

• Interest in data science and willingness to learn new tools and solutions;

• Knowledge of at least one data science related programming language — preferably R or Python;

• Practical knowledge of SQL;

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

• Graduate of Economics, Quantitative Methods, Computer Science, Math, Physics, Operational Research or related discipline;

• Good command of the English language.

Additional assets:

• Experience in effective visualization techniques and tools (Tableau, PowerBI);

• Documented experience in banking or retail.

Our offer

• Attractive compensation with additional benefits package (including copyrights);

• Excellent working conditions and a friendly working atmosphere;

• Flexible working hours;

• Subsidized language courses;

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

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

• Dynamic, project driven work environment.