About the Team
Our Insights and Data team helps our clients make better business decisions by transforming an ocean of data into streams of insight. Our clients are among APAC's top performing companies and they choose to partner with Capgemini for a very good reason - our exceptional people. Due to continued growth within Capgemini's Insights & Data practice we intend to recruit a Data Scientist with relevant consulting and communication skills. If you are already working in a consultancy role, or have excellent client-facing skills gained within large organizations, we would like to discuss our consultant opportunities with you.
About the Role and Responsibilities
Our practice is looking for a talented, inquisitive and proactive Data Scientist to join our team. You will be joining a growing team of data scientists and analytics experts working on some of the most exciting projects in the country. We don't just talk about big data and analytics, we bring it to life for our clients.
The advanced analytics practice works on the design, development and delivery of the most innovative solutions for our clients. You will be using various machine learning techniques such as Linear Regression, Random Forests, Neural Networks etc. to analyse multiple sources of structured, semi-structured and unstructured data.
Ideally you will have a background in Maths and/or Statistics, a good flare to present complex algorithms and concepts in a simple format and an understanding of the commercial value, the data provides the client.
Requirements
You will demonstrate previous experience in:
- Applying computer-aided statistical modelling to solve business problems
- Machine learning, data mining and information retrieval.
- Extracting information from a wide variety of sources including quantitative, qualitative and big data sources
- At least one of the following modelling software packages: MATLAB, R, SAS, SPSS.
- At least one of the following scripting languages: C++, Java, Python.
- Data visualisation using Tableau / Qlikview / D3.js
- Demonstrating your ability to adapt quickly and manage an environment of rapid change and development, and lead others through this process
- Tertiary qualifications (a Masters or PhD degree) in a quantitative discipline, such as Statistics, Econometrics, Applied Mathematics, Engineering, Applied Science., or equivalent highly desired.