Your browser does not support javascript! Please enable it, otherwise web will not work for you.

Data Scientist - Internal Audit @ Applause

Home > Data Science & Machine Learning

 Data Scientist - Internal Audit

Job Description

  • Five to eight years of experience in data analysis or data science or a related field, preferably or a technology company with a focus on crowd-based platforms
  • Strong understanding of internal audit processes and methodologies and ability to analyze and cross reference multiple databases and run scripts to validate data points
Technical Skills :
  • Python proficiency: Advanced knowledge of Python for data manipulation, analysis, and visualization.
  • SQL expertise: Ability to write complex SQL queries to extract and transform data from databases.
  • API interaction: Comfortable working with APIs to extract data from third-party software tools and integrate them into the analysis process.
  • experience with threat/audit investigation on internal proprietary systems
  • Experience with LexisNexis software
Industry Knowledge:
  • Crowd-based platforms: Understanding of the unique business models and data structures associated with crowd-based companies.
  • Internal audit: Experienced in having managed and executed internal control frameworks and risk assessment methodologies.
  • Technology industry: Knowledgeable in the technology landscape and relevant regulations.
Other Skills:
  • Problem-solving: Ability to identify and map complex data discrepancies and inconsistencies.
  • Communication: Excellent written and verbal communication skills to present findings and recommendations to both technical and non-technical stakeholders.
  • Attention to detail: Meticulous approach to data analysis to ensure accuracy and completeness.
  • Collaboration: Ability to work effectively with cross-functional teams, including auditors, engineers, delivery and customer operations, human resources and other business stakeholders.
Responsibilities :
  • Data extraction and Analysis: Retrieve data from internal databases and third-party software tools, to audit data quality, consistency and compliance with company policies.
  • Data reconciliation: Develop and implement processes to compare data sets and identify discrepancies.
  • Root cause analysis: Investigate and analyze the root causes of data mismatches, providing actionable insights.
  • Reporting: Prepare clear and concise reports summarizing audit findings and recommendations.
  • Continuous improvement: Collaborate with teams to enhance data integrity and streamline audit processes.
  • Other duties as assigned.
Additional Considerations:
  • Experience with specific third-party software tools used by your company can be a significant advantage.
  • Certifications in data science or auditing can demonstrate the candidates commitment to professional development

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Data Scientist
Employement Type: Full time

Contact Details:

Company: Applause
Location(s): Hyderabad

+ View Contactajax loader


Keyskills:   Data analysis Manager Internal Audit Risk assessment Reconciliation Data structures Data quality data integrity Continuous improvement Auditing Data extraction

 Job seems aged, it may have been expired!
 Fraud Alert to job seekers!

₹ Not Disclosed

Similar positions

Data Scientist-Advanced Analytics

  • IBM
  • 3 - 5 years
  • Bengaluru
  • 1 day ago
₹ Not Disclosed

Data Scientist- Artificial Intelligence

  • IBM
  • 7 - 9 years
  • Bengaluru
  • 1 day ago
₹ Not Disclosed

Data Scientist-Artificial Intelligence

  • IBM
  • 3 - 5 years
  • Bengaluru
  • 2 days ago
₹ Not Disclosed

Data Scientist

  • Crown Hr Services
  • 3 - 5 years
  • Mohali, Chandigarh
  • 1 day ago
₹ 10-12 Lacs P.A.

Applause

Applause is the world leader in testing and digital quality. Brands today win or lose customers through digital interactions, and Applause alone can deliver authentic feedback on the quality of digital assets and experiences, provided by real users in real-world settings.