Honeywell is looking for a data driven professional to join its engineering team to design & build in-house as well as evaluate and integrate 3rd party analytical components. You will develop new innovative solutions, evaluate & integrate 3rd party solutions, and deploy AI-ML models and data mining techniques that leverage physical monitoring system datasets to unlock new security insights for end-user customers.
Do you enjoy integrating systems together, mashing-up datasets and analyzing them by leveraging data mining, generative AI, and ML techniques to drive decision making? As an Advanced Data Scientist, you will be responsible for data engineering, leveraging closed and open-source LLMs, text and multi-modal embedding models, and development of new generative AI systems and ML models to deliver analytical systems that improve forensic and real-time security outcomes. These analytical systems you develop in-house and those integrated from 3rd parties will extend the capabilities of our core product ecosystems.
Participate in extending product capabilities through development and deployment of analytical systems leveraging data mining, generative AI, and ML techniques.
Interact with 3rd parties to evaluate integration feasibility and licensing of technologies and analytic components
Design, prototyping, and implementation of new data-centric solutions
Effectively communicate and collaborate with local teams, international teams, and 3rd parties
Contribute to build versus buy decisions
Work closely with members of Product Management, New Product Development, Quality Assurance, and end users as may be necessary to bring solutions to life
Self-starter that can take minimal direction and deliver results
Curious problem solver
BS or MS in an appropriate technology field (Computer Science, Statistics, Applied Math, etc.)
5+ years of experience in modern advanced analytical tools and programming languages, including Python with scikit-learn
Proficiency with exploratory data analysis
Proficiency with ETL operations sourcing data from SQL, REST APIs, and flat files
Experience with data visualization technologies, such as Power BI, Tableau, matplotlib, Excel, etc.
Comfortable in Windows and Linux environments
Preferred Qualifications
- Experience in building generative AI applications leveraging embeddings, LLMs, VLMs, vector databases, data source APIs, and agentic patterns/frameworks
- Experience in various deployment topologies including on-premises, hybrid, and cloud for production generative AI applications
- Experience in building predictive and decision-making AI applications.
- Experience using cloud services from AWS, Azure, or GCP to develop solutions.
- Experience in computer vision and image/video analysis, including object detection, recognition, tracking, and identification
- Experience with application of data mining algorithms and statistical modeling techniques such as clustering, classification, regression, decision trees, neural networks, SVMs, anomaly detection, recommender systems, pattern discovery, and text mining
- Problem Solving: Ability to solve problems using analytical thinking, reconciling viewpoints, and evaluating technologies.
- Communication: Demonstrates effective verbal and written communication skills when explaining complex technical issues to both technical and non-technical audiences
- Continuous learning mindset
Our offer:
- State-of-the-art office with parking, chill-out areas, bicycle stands, showers and probably the best coffee in town
- Fruits bowls and sports activities to support your health and well-being
- Daily paid break - 30 mins and flexible working hours
- Hybrid work arrangement (3&2) to support your work-life balance
- Competitive Salary regularly increased based on your performance
- Flexible benefits basket with monthly budget allocated (medical insurance, life insurance, Multisport Card)
- Generali Insurance (Accident Insurance)
- Referrals bonuses for all open jobs and recognition programs
- Comprehensive induction, ongoing training and development to set you up for success
- In-house and external learning platforms supporting development opportunities
- Work experience opportunities to help you grow your career with us
- Global employee networks to help you connect and grow
- Employee Assistance Program - Free and confidential service to help with any difficulties regarding work, life and personal or family matters
- Access Integrity line - Any workplace issues or violations that need to be raised in good faith, can be communicated in a safe, private and confidential environment
- Frequent Employee Engagement activities supporting inclusive and diverse work environment
- Contribution to social benefits like x-mas benefit, holiday, engagement events from company social fund.
We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
Join us now and be part of a global team of thinkers, innovators, dreamers, and doers who make the things that make the future!
**#FutureShaper **
#GdanskEngineering2026