The company is a leading global professional services company, providing a broad range of services and solutions in strategy, consulting, digital, technology and operations. Combining unmatched experience and specialized skills across more than 40 industries and all business functions – underpinned by the world’s largest delivery network – The company works at the intersection of business and technology to help clients improve their performance and create sustainable value for their stakeholders. With approximately 449,000 people serving clients in more than 120 countries, the company drives innovation to improve the way the world works and lives.

Job Description

Advanced analytical professionals create new insights from statistical modeling activities that target and deliver value to our clients. You are enthusiastic, you want to innovate and curiosity is you second nature, you are autonomous and you enjoy learning and solving problems, come and join our team.


We are currently looking for strong candidates with following key capabilities and responsibilities:

  • Provide hands-on Statistical Tool development, data processing, and statistical analysis for the delivery teams and management scientists
  • Responsible for developing forecasting, predictive and optimization models to empower organizations to make informed decisions
  • Manage and manipulate datasets, including: defining variables, performing calculations and summarizations, and creating solutions to address client business solutions
  • Design and develop reusable analytical models and data driven assets in support of our analytical service offerings
  • Functional knowledge of at least one of the following domains: marketing, risk
  • Statistical programming in tools like R, Python, SAS, SPSS, MATLAB,..
  • Knowledge of big data platforms as Hadoop, Cassandra, MongoDB, Hive, Spark …
  • Knowledge of different statistical techniques: temporal series, machine learning, clustering …
  • Applying cross industry these capabilities of different business needs: customer intelligence, marketing intelligence, fraud, process optimization, text mining, real time decision engine, internet of things,…
  • Develop innovative thought leadership and contribute to the creation of points of view on re-usable models by industry solution
  • Knowledge of full life cycle development methodologies
  • Mentor and train junior developers and modelers
  • Ability to meet travel requirements, up to 100%.