
Senior Analyst - Data Science
- Gurgaon, Haryana
- Permanent
- Full-time
- Support the Global Head of Analytics Assurance in delivering the team's vision and development roadmap and manage the implementation of functional initiatives in the department.
- Empower the Internal Audit team through the development of a data analytics and reporting ecosystem.
- Support and deliver on data-driven audit planning including data analytics strategies to identify high-risk areas, prioritise audit activities and optimise resource allocation.
- Support and deliver on multiple analytics assurance activities, ensuring timely completion to a high standard in accordance with our methodology, processes and procedures.
- Collaborate with the Internal Audit Managers in the collection and analysis of data to deliver audit requirements, continuous auditing purposes and planning insights for reporting to key stakeholders.
- Build and manage relationships with stakeholders across the business outside of GIA.
- Deliver insightful analysis that enables audit teams to achieve their objectives.
- Standardise semi-structured and complex data types into consumable data models that are accessible to users in Internal Audit.
- Develop and present data analytic engagement reports and findings to senior management.
- Oversee analysts on individual audits, including allocation and review of audit work as well as day-to-day support and advice.
- Drive continuous improvement in GIA, your team, and your own personal performance
- 6+ years of experience in data science, AI, or related fields.
- Expertise in programming languages such as SQL, Python, R and visualisation tools (PowerBI, Qlik, Tableau).
- Experience with Natural Language Processing (NLP) libraries such as NLTK, Gensim, or spaCy.
- Experience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn.
- Strong analytical and problem-solving abilities.
- Strong communication skills and confidence in written and verbal presentation to stakeholders.
- Bachelor's degree in computer science, Information Technology, or related field with good educational record up to degree level.