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Senior Statistician in Αθήνα at OUR FIRM

Date Posted: 8/30/2018

Job Snapshot

  • Employee Type:
    Full-time
  • Location:
    Αθήνα
  • Job Type:
  • Experience:
    Not Specified
  • Date Posted:
    8/30/2018

Job Description

PwC in Greece is the largest professional services firm in the country, with premises in Athens and Thessaloniki and approximately 1,200 employees. More than 236,000 people in 158 countries across our network share their thinking, experience and solutions to develop fresh perspectives and practical advice. This enables us to provide top-quality industry-focused assurance, tax and advisory services to our clients.

 

At PwC, we believe that combining analytics and data science with PwC’s industry expertise can unlock the potential of our clients and enable a data driven transformation with a tremendous business impact. PwC advisors work with clients to solve business problems or spot unidentified issues using advanced analytics tools and techniques.

 

Due to the continued growth of our Data and Analytics (D&A) team, which is part of a global network consisting of more than 2000 D&A professionals, we are now recruiting a Senior Statistician to join us.

 

The role entails:

 

  • Working closely with a talented team of data scientists, statisticians and engineers to solve important and challenging problems for clients and internal teams within Greece and abroad
  • Applying your expertise in time series forecasting to build effective models in a variety of domains such as sales and demand forecasting
  • Applying your expertise in statistical learning to train predictive and descriptive models which will provide answers to complex business questions
  • Analysing large datasets using cloud computing and big data environments
  • Validating and assessing statistical analyses performed by colleagues across different teams
  • Performing research in order to discover novel approaches to problems
  • Documenting and communicating your findings as well as training colleagues and clients alike with best practices in your field

 

Job Requirements

The successful candidate should have:

 

  • A master’s degree in Statistics or Mathematics (a PhD will be considered a plus)
  • A detailed understanding of time series forecasting methodologies, best practices and state of the art
  • Excellent knowledge of the techniques, models and theory behind statistical learning
  • Solid programming skills in R (experience with Python as well will be considered a plus)
  • Experience in working with large data sets will be considered a plus
  • Excellent analytical and problem solving skills
  • Highly motivated and effective at learning new skills and technologies
  • A positive and enthusiastic attitude for working in different industries and markets
  • Commitment to providing excellent quality work
  • Ability to express ideas verbally and in writing, in a clear, concise and professional manner (both in English & in Greek)
  • Military services fulfilled for male candidates

 

 

What we offer

 

PwC is all about people, encouraging high performance and quality. At PwC, you will be part of a learning culture, where teamwork and collaboration are encouraged and excellence is rewarded.

 

We are looking for motivated, high-performing individuals to full fill their professional dreams. Our company encourages initiative and new ideas coupled with huge learning experience. 

 

You will develop as a professional through our extensive training programme together with constant coaching and a working culture which fosters continuous learning. 

 

We offer the prospective of being part of a global network of firms that provides challenging opportunities to enhance your career. Our firm offers a competitive remuneration package that includes an attractive base salary and benefits, and opportunities for rapid career development in a secure and challenging working environment.

 

If you are looking for an international, dynamic and challenging environment with a fun atmosphere among young people please send us your CV.

 

All applicants will be acknowledged and treated in the strictest confidentiality.