Job Information
Honeywell Data Scientist in Bengaluru, India
In this role, you will have the opportunity to apply foundational data science techniques to analyze large datasets across functional domains, identify trends and anomalies, and help extract insights that support informed audit decision-making. You will collaborate with cross-functional teams to support the development and execution of data-driven audit procedures. You will assist in building repeatable analytics, dashboards, and automated solutions that contribute to the ongoing enhancement of internal controls, risk mitigation efforts, and operational efficiency within the Corporate Audit program.
KEY RESPONSIBILITIES
Apply data science techniques to analyze large datasets and identify patterns
Conduct thorough and accurate data analysis to identify patterns and trends within complex datasets
Perform data extraction, cleansing, validation, and analysis to support internal audit planning, execution, and reporting activities
Develop and implement data-driven audit strategies within the Corporate Audit program
Collaborate with cross-functional teams to drive operational efficiency and risk identification
Leverage statistical models and machine learning algorithms to extract insights
Provide guidance and recommendations to management based on data analysis
Assist in developing and maintaining standardized audit analytics, reports, and dashboards to improve audit efficiency and consistency
Attention to detail and strong organizational skills
WE VALUE
• Master's degree in Data Science, Statistics, or a related field
• PowerBI, Azure AI Studio, Databricks, and Snowflake tool experience
• Experience in audit or risk management
• Knowledge of internal control frameworks and risk assessment methodologies
• Strong understanding of business processes and operations
• Ability to work independently and manage multiple projects
REQUIRED SKILS
• Minimum of 3-5 year of experience in data science or related field
• Bachelors degree in Data Science, Statistics, or a related field
• Basic knowledge of data science techniques and tools
• Experience in applying statistical models and machine learning algorithms
• Excellent analytical and problem-solving skills
• Strong communication and presentation skills
Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments – powered by our Honeywell Forge software – that help make the world smarter, safer and more sustainable.
Honeywell is an equal opportunity employer. Qualified applicants will be considered without regard to age, race, creed, color, national origin, ancestry, marital status, affectional or sexual orientation, gender identity or expression, disability, nationality, sex, religion, or veteran status.