Senior Associate

at  Cognizant

COMMON SKILLS

• Business Strategy: it is expected that the Data Scientist puts in perspective her/his analysis with the business context; it is a constant concern to make the link between the “figures” and “reality”.
• Customers: the Data Scientist is in contact with officers from the domain requesting the analysis; normally there is no contact with external clients; the Data scientist interacts effectively with the Business Stakeholders to understand the business opportunity/challenge and how new information can make a difference; deliver the results to the end user in a way that the buy-in is successful; the Data Strategist can facilitate on this point if necessary;
• Data Exploitation: the Data Scientist can effectively map the business context into the data and define the analytical approach; locate the required data in the data architecture and assemble it for analysis; execute the analysis to obtain the required information (this involves data exploration, feature engineering, modelling and evaluation);
• Data Management: the Data Scientist is the power user of Data; s/he plays a key role in improving the data management practice of the organisation, by contributing to the enrichment of Metadata, advising for improvements in the Enterprise Information Model and the Data Architecture, and warning about Data Quality problems; the Data Scientist is also responsible to document the models he made in a transparent and understandable way.
• Coaching: as the Data Scientist progresses in the career, s/he has the responsibility for coaching less experienced colleagues and contributes to the steering of collaboration with external partners
• Risk & Compliance: the Data Scientist is the last link in the chain to make sure that all data processing is performed under a valid legal basis; additionally, the Data Scientist has the duty of nondisclosure about any customer information at a nominal level. The Data Scientist, as user of data, respects all regulatory rules and follows the guidelines as defined by the bank. (incl. GDPR, …)
• Change Management: The Data Scientist supports change management by providing any additional work still required to deploy the results and make them accessible to the end user.

Please refer the Job description for details