Data science
Big data

Transforming our customers’ data into business intelligence is what inspires us. We are committed to ensuring that decision-making tools are developed in a controlled and dynamic way.

“Having already gained experience in the world of consulting, I joined Capfi Vitadata in order to grow in my profession. I had the opportunity to choose the path on which I wanted to orient my career. Beyond the career path aspect, the atmosphere on site was very positive and unifying. Events, breakfasts, and after-work events are regularly organised, which allows me to meet the Capfi group’s teams and spend some time together in a friendly and relaxed setting. What’s more, Vitadata belongs to the existing structure of the Capfi Group, which means it has an HR department that handles administrative procedures very efficiently, for example. "
Cheung
Data Scientist

Our Professions & Services

Every day, our Data Scientists work with our clients’ business teams: Risks, Marketing, Digital, Research, and IT.

We have expertise in the following fields:

  • Data exploration
  • Statistical studies, Predictive modelling
  • Machine Learning
  • Algorithm design and optimisation
  • Data Visualisation

Our Data Scientists are graduates of “Grandes Écoles” and specialised Master’s programmes in Statistics, Mathematics, and Big Data.

They master the data value chain and know how to apply statistical methods and design algorithms.

They know how to share and promote their best practices.

Their work aims to meet the following goals:

  • Detecting trends
  • Creating value
  • Taming and structuring data
  • Mutualising and prioritising information
  • Maximising information communication

Our Data Scientists implement the following technologies: SAS, R, Python, the Hadoop ecosystem, Tableau, Qlikview, etc.

Our Big Data Engineers will handle:

  • formal analysis of business needs
  • identifying and collecting data sources
  • aggregation, cleaning, and enrichment
  • predictive modelling, machine learning
  • implementing algorithms (designing and developing data-research and analysis algorithms: PYTHON, HADOOP, HIVE, PIG, NoSQL, HDFS, MapReduce, Elasticsearch,SCALA, SPARK, R…)
  • designing applications and services for end users
  • recommendation for industrialising processes

Our statisticians specialised in risks provide assistance to Risk-Management Departments implementing regulatory changes, by working in the areas of:

  • Project management support and oversight in an SAS environment
  • Designing and developing management tools
  • Modelling Basel parameters (PD, LGD, EAD, ELBE)
  • Back-testing and stress-testing of models
  • Calibrating models
  • Approving models
  • Designing and optimising lending models
  • Impacts and changes related to the IFRS 9 standard
  • Fraud detection
  • Detecting operational risks

We apply analytics to multiple business areas:

  • Marketing: optimising targeted marketing, customer segmentation, Q scoring, churn scoring, lifetime value
  • Sales performance: Acquisition, up-selling, cross-selling, loyalty, overseeing marketing and sales activity
  • Digital: multichannel marketing, optimising the conversion funnel
  • IoT: data storage and analysis and decisions on the information derived from objects 
  • Operational efficiency: managing industrial equipment and optimising the supply, storage, and transport of goods 

22

Terabytes of Processed Data

80%

Success rate of customer interviews

100%

Data Addicted

Our Achievement

Identifying the sources of growth and profitability from internal and external data, then defining action plans to leverage them

  • Studies and statistical modelling to respond to business challenges (Risks, Marketing, Digital technologies, Research, etc.)
  • POCs and implementation of Big Data projects
  • Support in choosing Data Visualisation tools and designing management indicators
  • Basel and Credit Risk Project Management Support