Data scientist SG Internal Audit Americas; SGIAA

Position: Data scientist for SG Internal Audit Americas (SGIAA) Location: New York

Data scientist for SG Internal Audit Americas (SGIAA)

Societe Generale | Posted Mar 2

Internship

New York

Unknown

Reference 2600013V Responsibilities

• Be responsible for driving the data/AI transformation of the SGIAA audit hub by locally implementing IGAD’s data-driven audit strategy and its four pillars: data access, auditors’ data skills, integration of data into the audit process, and data/AI tools.
• Animate SGIAA data champions community (training, knowledge sharing).
• Support auditor training in data analysis through sessions and hands‑on case support.
• Develop automation or solutions for audits as needed and aligned with IGAD/DAT strategy, not only for SGIAA when global requirements arise but also for all IGAD audits.
• Ensure data access strategy and resources developed abroad are shared and known within SGIAA.
• Be responsible of the “run” of data/AI works for SGIAA assignments.
• Prioritize the data approaches for SGIAA assignments and propose the most effective processing methods.
• Oversee and actively participate in SGIAA data bootcamps sessions (collaborative workshops where auditors and data experts explore how data can be used to support future audit missions).
• Contribute to SGIAA assignments requiring advanced data expertise by: (i) understanding and clarifying auditors’ challenges, (ii) proposing data‑driven solutions, and (iii) leading the study from end to end in close collaboration with mission teams. More specifically, they bring their expertise to the mission to:
• identify the necessary data, liaise with the data owner(s), and if needed, organize data collection while respecting its sensitivity, the ethics of the work performed, and compliance rules;
• identify the data science techniques to be used and perform them;
• present the analysis results in a clear and useful manner to both the mission participants and the audited service, by drafting conclusions and providing a documented and, if necessary, reusable deliverable.
• Represent SGIAA in governance forums between IGAD/AUD/GBI and IGAD/DAT (IGAD central datalab), including raising needs, data access challenges, or other relevant issues.
• Actively contribute to IGAD/DAT initiatives, including cross-experience sharing, presentations, peer recruitment and training, tool development, etc.
• Participate in spreading the use of data and AI within the Group. Profile Required
• Intellectual curiosity and an interest in the banking sector with a drive to understand both the activities and the needs of auditors and audited parties.
• Rigor, risk sensitivity, sense of responsibility.
• Strong organizational and project management skills.
• Initiative, willingness to go beyond the existing framework, result orientation, problem‑solving mindset, a taste for challenges, and the ability to drive change.
• Autonomy and a strong team spirit. Additional Technical Skills
• In-depth knowledge of data mining and machine learning fields, particularly from an algorithmic perspective (mastery of usual data science methods).
• Proficiency in common database management languages (SQL) and mandatory expertise in Python for data manipulation and analysis tasks.
• Theoretical and practical knowledge in the use and integration of APIs, as well as in automated data processing pipelines (e.g., Kedro), is ideally expected.
• Knowledge of data visualization tools such as Power BI or a data wrangling tool such as Knime is ideally expected.
• Possibly knowledge of the Group's applications and data warehouses. Business Insight

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