PwC are a trusted adviser to some of the largest organisations around the world, spanning the public, private, and financial sectors. The increasing availability and use of data requires all of these organisations to adapt quickly or face irrelevance. We are no different. Our technology strategy recognises this and aims to keep us at the frontier of change. We are looking for technology enthusiasts who can develop and build on our current Artificial intelligence and Data Science propositions.

As a Data Scientist you will use techniques such as machine learning and natural language processing to realise authentic, data-driven change and solutions.
Designing and developing data science projects for PwC and its clients
Contributing effective, useful code to our Data Science codebase
Participating in constant learning through training and skills development
Contributing to the strategy and growth of a fast developing data science capability
Craft and communicate compelling business “stories” based on analytics insight
Business case and Proposal development
Presenting findings to senior internal and external stakeholders in written reports and


Pwc Romania


Essential skills
Delivery of solutions through the entire lifecycle from data sourcing to results
Ensuring quality in work products
Experience in Agile development methods
Ability to work with product owners to translate requirements
Demonstrable experience in data science projects (professional, academic or personal),
particularly where focused on a business need
Programming experience in Python or R
Practical knowledge of SQL
Able to articulate complex data science concepts to both technical and non-technical audiences
BSc Quantitative degree preferred (Mathematics, Statistics, Econometrics, CS, STEM etc)
Good applied statistical skills
Excellent understanding of machine learning techniques and algorithms
Empathic listener and persuasive speaker.

We recognise that it takes a team to deliver AI and so we seek individuals with demonstrable skills in a selection of the below for a number of roles:
Demonstrable practical experience in using computational statistics to solve business problems
Experience working with big data technologies (Spark, Hadoop, Presto, Redshift, SQL or similar)
Experience of working in cloud environments (Azure, GCP, AWS etc)
Cloud fundamental or architect accreditations
MsC or PhD
Experience with data visualisation tools
DevOps experience (Git, CI etc)
Experience of business analysis tasks and approaches
Experience of coaching and developing other members of staff
A mature understanding of business operations, ideally in financial services.
Programming experience in a JVM language (Java, Scala, Kotlin)
Proficient understanding of integration, analytic and database technologies

Educational level:

Master Degree

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