Lead Data Scientist - DAT
Job Summary
Join our Internal Audit Data Analytics team as a Lead Data Scientist and help shape the future of data-driven auditing. With 6-9 years of experience, you will design and maintain scalable data solutions, ensure compliance with global data regulations (including GDPR), and empower auditors/inspectors with high-quality data and advanced analytics. You will master all the datasets of the perimeter assigned to you, becoming the point of contact for all Internal Audit. This is a strategic role offering exposure to cutting-edge technologies, global collaboration, and the opportunity to influence audit practices across the organization.
Key Responsibilities
Design, build, and optimize secure, scalable data solutions for audit use cases.
Support global audit and inspection missions with scalable data extractions, advanced data analytics, automation solutions etc. with python and relevant technologiesCollaborate with audit teams and CDOs to understand data needs and deliver compliant, high-quality data to internal audit.
Translate complex audit requirements into scalable analytical use cases, including full-population testing, advanced exploratory analytics , anomaly detection , etc.
Ensure data solutions align with global privacy regulations, including GDPR.
Develop interactive dashboards and reports in Power BI to visualize audit analytics/metrics
Continuously improve data accessibility and quality to support audit missions.
Stay up to date with emerging data engineering tools, AI capabilities, and audit trends.
Document solutions , architectures, data processes, reusable componentsIdentify relevant internal APIs for data extraction, assess their suitability, and implement/maintain reusable Python packages to leverage such APIs to accelerate data access.
Design and support AI use cases using Azure-based capabilities, ensuring appropriate governance, traceability, security, and scalability.
Bachelors/Masters Degree of Engineering with 6-9 years of experience
What We're Looking For
6-9 years of experience in data analysis, with a focus on data solutions, dashboards, and analytics for audit use cases.
Strong skills in Python, SQL, and Power BI.
Proven ability to implement complex data use cases, including data extraction, transformation, reconciliation, quality checks, advanced analytics, and automation.
Familiarity with cloud platforms (Azure, AWS,GCP).
Practical experience in AI and machine learning implementation, data analytics etc.
Deep understanding of GDPR and data governance best practices.
Experience in audit or compliance environments is a strong plus.
Excellent problem-solving and cross-functional collaboration skills.
Strong communication skills to bridge technical, audit, data, and IT teams.
Why Join Us?
Work on strategic audit projects with global impact.
Collaborate with top experts in data, audit, and compliance.
Access the latest technologies and innovation opportunities.
Competitive compensation and career growth in a leading financial institution.
Preferred Skills
Knowledge of data cataloging and metadata management tools.
Familiarity with data governance frameworks and audit data lifecycle.
Experience with machine learning or statistical analysis applied to audit data.
Exposure to GenAI, NLP, OCR, document intelligence, anomaly detection, or pattern mining
Knowledge of modern data engineering tools (e.g., Spark, Kafka, Airflow, Hadoop).
Experience working with Azure-based data and AI platforms, including Databricks or equivalent cloud-based analytics environments.
Functional skills:
Ability to work on multi location/global audit with large and diverse teams
Ability to work well with and communicate with others, from teammates to executives.
Ability to manage multiple work efforts and to quickly change direction as needed..
Fluent Command over English language (oral as well as written)
Behavioural skills:
Result Orientation and time management
Client Focus
Contribution to Strategy
People Development
Change management
Cooperation
Ability to work with diverse teams/Team player
Conflict management
