Senior Analyst - Data Science

About Our Client

In Bupa Group Internal Audit (GIA), we're more than auditors; we're leaders, innovators, and champions of positive change. You'll be joining a dynamic global team of over 130 dedicated professionals. We use our best-in-class expertise in internal controls to bring value to Bupa.

Job Description

You'll bring your communication, analysis, problem-solving skills and initiative to this role to :

• 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

The Successful Applicant

• 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.