We are looking for Data Scientists in various experience levels to join our Data Analytics & AI team within Advisory unit. You are also joining PwC’s global data science expert community.
As a Data Scientist your role is to design and implement advanced data analytics such as machine learning, optimization and data mining to solve our client’s important problems. With the team you will design and build advanced data analytics solutions, which may range from market forecast modelling to being able to predict maintenance needs in manufacturing and mining process data for insights. Although a large proportion of our work is based in Finland our teams also have the opportunity to work internationally on large cross border engagements.
Ideal candidate will have:
We offer you a place to grow in an energetic team of professionals with varying backgrounds and experience. The team around you as well as our global network provide various data & analytics opportunities across sectors to learn, possibilities for personal growth and international assignments. We emphasize well-being at work and offer broad occupational healthcare services and many different recreational activities. This year PwC Finland was ranked as the 5th best employer in Finland within the large corporate class by the Great Place to Work organisation.
Do you want to join our team?
Please send your application in English. We will fulfil the position as soon as a suitable applicant has been found.
For further information, please contact Antti Niku, Director, Head of Data Analytics & AI in Advisory (+358 50 5606654) on Wednesday 18.9. at 9-11 or Friday 20.9. at 14-16.
PwC is a trusted advisor to some of the largest organisations in Finland and globally spanning domestic and international corporates, private equity houses and owner managed businesses. To support our clients to harness various data-driven opportunities, PwC is significantly investing in data and analytics globally to offer a wide range of data-related services, from data governance and data quality, through to strategy development, visualisation and advanced modelling and analytics.