Data Scientist

Data Scientist

Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences. We have been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.

Apexon brings together distinct core competencies – in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering and UX, and our deep expertise in BFSI, healthcare, and life sciences – to help businesses capitalize on the unlimited opportunities digital offers. Our reputation is built on a comprehensive suite of engineering services, a dedication to solving clients’ toughest technology problems, and a commitment to continuous improvement.

Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon now has a global presence.

Role Overview:

The Data Scientist will focus on analyzing and interpreting audit and risk data to derive insights that inform internal audit strategies. This role requires strong analytical, statistical, and machine learning skills combined with expertise in data visualization and storytelling.

Key Responsibilities:

• Analyze audit and risk data to uncover patterns, trends, and anomalies.
• Develop predictive models to identify potential risk areas.
• Design and develop interactive dashboards using Tableau, Power BI, Looker, or Qlik.
• Apply statistical techniques to assess audit outcomes and risk likelihoods.
• Collaborate with internal auditors to interpret findings and support audit strategies.
• Document analytical approaches and ensure reproducibility.

Key Skills & Experience:

• Strong foundation in statistics, machine learning, and data science techniques.
• Proficiency in tools like Python, R, and SQL.
• Experience working with visualization tools (Tableau, Power BI, Looker, Qlik).
• Knowledge of audit, compliance, and risk management frameworks (highly desirable).
• Strong communication and storytelling skills to explain complex findings to non-technical stakeholders.