Join a team recognized for leadership, innovation and diversity

Data Science Manager

As a Data Science Manager here at Honeywell, you will play a crucial role in managing a team of Data Scientists and overseeing the data science function within the Finance Digital Operations. You will be responsible for design, development, and implementation of Data Science methodologies to drive data-driven decision-making in the Corporate Finance domain. Collaborating with cross-functional teams, you will identify business requirements and analytics needs, and leverage your expertise in statistical analysis, data mining, and machine learning techniques to extract insights from data. Your work will contribute to optimizing financial processes, improving forecasting accuracy, and driving operational efficiencies.

You will report directly to our Global Data Science Leader and will work out of our Bangalore, India location on a hybrid work schedule.

People Management will be your primary responsibility and you will be managing a team of highly skilled Data Scientists and guide them to achieve the Organizational goals and drive strategy with the Data Science Leader.

In this role, you will impact our organization by transforming financial data into actionable insights, driving data-driven decision-making, and enabling the finance team to make informed strategic decisions.

Key Responsibilities

• Manage a team of Highly skilled Data Scientist and act as their Technical Lead and Mentor in capacity as People Manager .
• Develop and implement data science strategies and methodologies.
• Collaborate with cross-functional teams to identify business requirements and analytics needs.
• Design and develop AI models and algorithms to extract insights from financial data.
• Analyze large and complex datasets to identify trends, patterns, and opportunities.
• Develop and implement data visualization techniques to effectively communicate insights.
• Provide actionable recommendations based on data-driven insights.
• Collaborate with stakeholders to drive data-driven decision-making.
• Stay updated with industry best practices and emerging trends in data science and analytics.
  
  

YOU MUST HAVE

• Master’s degree or PhD in a quantitative field such as Data Science, Statistics, Computer Science, Engineering, or related field.
• Minimum of 12 to 15 years of experience in data science or related roles.
• Strong knowledge of statistical analysis, data mining, and machine learning techniques.
• Proficiency in programming languages such as Python or R.
• Experience with big data technologies such as Hadoop or Spark is a plus.
• Experience with Cloud Technologies like Azure and Databricks.
• Excellent analytical and problem-solving skills.
• Strong communication and presentation skills.
• Ability to work effectively in cross-functional teams.
• Ability to manage and mentor a team of data scientists and analysts.
  
  

WE VALUE

• Strong leadership skills and the ability to effectively influence and coach others.
• Proven track record of driving data-driven decision-making and delivering measurable business results.
• Experience in the Corporate Finance domain and understanding of Financial processes.
• Knowledge of advanced analytics techniques (e.g., machine learning, predictive modeling, etc.).
• Continuous learning and passion for staying updated on industry trends and best practices.
  
  

About Honeywell

Honeywell International Inc. (Nasdaq: HON) invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high-growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe.

THE BUSINESS UNIT

Honeywell Connected Life Sciences (HCLS) is focused on serving the industry with an ever-expanding set of B2B decision support capabilities across the life sciences value chain. With the leading quality management system (QMS) at the center, we are improving our customers' near real-time decision-making from pre-market to post-market, both within the business and across the increasingly complex supply chains. HCLS delivers intelligent SaaS-based quality management solutions, creating a patient-centric digital ecosystem that drives product quality, safety, and efficacy and is built for productivity, sustainability, and transformation. The TrackWise digital quality management system is built to empower quality teams, strengthen supplier collaboration, automate critical quality processes, accelerate new product delivery, and provide cybersecurity and operational technology.

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.

Additional Information

• JOB ID: HRD265196
• Category: Engineering
• Location: Devarabisanahalli Village, KR Varturhobli,,East Taluk - Phase I,Bangalore,KARNATAKA,560103,India
• Exempt

Early Career (ALL)