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Sr Advanced Software Engr (Data Scientist) at Honeywell in Singapore
Job Description
Sr Advanced Software Engr (Data Scientist)
Location: Singapore
THE FUTURE IS WHAT WE MAKE IT.
Sr Advanced Software Engr (Data Scientist)
Jurong, Singapore
Start your career by making an impact and real connections with some of the most meaningful challenges around. When you join Honeywell, you become a member of our performance culture comprised of diverse leaders, thinkers, innovators, dreamers, and doers who are changing the future.
Make the Best You.
Working at Honeywell is not just creating incredible things. You will collaborate with top minds, grow through continuous learning, and benefit from an inclusive environment that rewards performance and celebrate achievements.
Join Us and Make an Impact.
Honeywell Connected Enterprise is leading the industrial digital transformation by connecting assets, people and processes through advanced software, AI and analytics solutions. We are seeking an experienced Senior Data Scientist / Algorithm Engineer to develop next-generation AI, machine learning, optimisation and control algorithms for building automation and energy management applications.
Key Responsibilities- Design, develop and optimise advanced AI, machine learning, forecasting, optimisation and control algorithms.
- Develop mathematical models, simulations, digital twins and predictive analytics solutions using Python and MATLAB.
- Analyse large-scale operational and industrial IoT datasets. Integrate algorithms into operational platforms and customer-facing products.
- Develop scalable microservices and deploy AI/ML solutions into cloud and edge environments.
- Mentor engineers and promote data science best practices.
- As a Senior Data Scientist, you will join a high-performing, global team, and assist with designing, developing, and deploying data driven solutions for all Honeywell business groups and functions.
- You will work closely with application architects to integrate results into operational platforms including containerized microservices and distributed compute and storage architectures.
- Additionally, the Senior Data Scientist role is expected to work within Honeywell to identify opportunities for new growth and efficiencies based on data analyses both in adjacencies based on previous engagements, as well as larger industry developments.
- Develop: data modeling, mining, pattern analysis, data visualization and machine learning solutions to address customer needs
- Foster: relationships with business team members by being proactive, displaying a thorough understanding of the business processes and by recommending innovative solutions
- Communicate: project output in terms of customer value, business objectives, and product opportunity
- Promote: data science methods and processes across functions
- Work: with our businesses and infrastructure teams to develop a strategy that will clearly outline how our enterprise platforms can enable business growth & productivity
- Master's degree or PhD in Computer Science, Electrical Engineering, Data Science, Applied Mathematics or related discipline.
- 7+ years of experience in Data Science, Cloud technologies, Machine Learning, Applied AI, Advanced Analytics or Algorithm Development.
- 5+ years of hands-on software development experience using Python.
- 3+ years of experience using MATLAB for modelling, simulation, optimisation and algorithm development.
- 3+ years of experience developing predictive analytics, optimisation, forecasting or advanced control system solutions.
- Experience developing and deploying machine learning solutions into production environments.
- Experience with CI/CD pipelines, testing frameworks, version control and software engineering best practices.
- Experience with distributed computing and data processing platforms such as Spark.
- Strong foundation in statistics, machine learning, optimisation and mathematical modelling.
- Experience in building automation and energy management platforms.
- Experience with optimisation techniques, reinforcement learning, Model Predictive Control (MPC) and advanced control algorithms.
- Experience developing digital twin solutions and simulation frameworks.
- Experience with industrial automation, industrial IoT and operational technologies.
- Experience with streaming analytics and real-time data processing architectures.
- Experience developing NLP, computer vision, image analytics or deep learning solutions.
- Experience with Azure Cloud, Docker, Kubernetes and MLOps platforms.
- Experience with SQL, Tableau and modern analytics platforms.
- Experience working with geographically distributed engineering teams.
Who We Are
The Future Is What We Make It at Honeywell. From sustainable aviation fuel and life-saving healthcare sensors to collaborating on every NASA space mission since the 1950’s, over 100 years of innovation has always been driven by an investment in our people. Learn more about Honeywell: https://www.youtube.com/watch?v=CG-rmG0eKLk
Discover More
Our focus at Honeywell is innovation that drives business, improves the bottom line and creates solutions for our customers and communities around the world. There’s a lot for you to discover. Our solutions, our case studies, our #Futureshapers, and so much more.
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.
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Copyright © 2026 Honeywell International Inc.
Honeywell Technologies is a global, pure-play automation company with a legacy of innovating to help solve the world’s most mission-critical challenges, enhancing the quality of life for people and communities around the world. We serve the building, industrial and process sectors with a broad portfolio of services, solutions and products, underpinned by our Honeywell Technologies Accelerator operating system and Honeywell Technologies Forge intelligence layer. By combining the deep domain expertise of our more than 50,000 employees with decades of data from our global installed base, we are uniquely positioned to lead the industrial sector’s transition from automation to autonomy.