Data Scientist - Contract - Brussels

DATA SCIENTIST - LONG TERM CONTRACT

MISSION OF THE DEPARTMENT:

Transforming data into valuable information is a strategic goal. Our client's commitment to the intelligent use of data is significant in terms of both the means and the human level.

Our client's Marketing Analytics team looks for and develops the banking solutions of today and especially tomorrow. It is made up of high-level "Data Scientists" with varied and international profiles who use the most advanced techniques.

If you are looking to join a team on a human scale, ambitious and dynamic, do not hesitate to contact me

TASKS AND RESPONSIBILITIES:

Build and maintain predictive models in the retail, professional and wealth segments
Build customer typologies and business models or uses
Determine the future value of the customer (Life Time Value)
Develop customer knowledge through Machine Learning, Big Data algorithms and technologies, text mining, recommendation systems, ...
Segment customers to maximize the campaign response rate, growth and profitability of the bank.
Evaluate the added value of new Sales or Marketing initiatives through data analysis
Explore and use analytical methodologies and tools on various business issues
Combining digital channel data and CRM

PROFILE

SKILLS:

See the business through the numbers
Be a specialist in statistics, mathematics or engineering
Always seek to learn and grow in an innovative environment
Manage expectations while respecting the schedule of studies to be rendered
Synthesize and present the results of your analyzes to the management team
Speak in French, English and/or Dutch
Manage projects and stakeholders internally
Teamwork and experience sharing

KNOWLEDGE:

Programming in SAS or SQL
Analytical modelling tools: SAS, R, Python, Rank ...
Advanced statistical modelling techniques

EXPERIENCE AND TRAINING:

Master or PhD level in Mathematics, Statistics, Econometrics, Engineering
Significant experience in the field of data analysis
Modeling and segmentation of large volumes of data
Knowledge of text analysis or non-distributed computing (noSQL databases)
A/B testing and campaign measures