The Impact You'll Make

Do you enjoy turning complex technical data into insights that drive better products and smarter decisions? Are you passionate about combining data science with engineering and domain expertise to solve real-world challenges? Then this could be the opportunity for you.

As our Lead Engineer, Data Science, you’ll play a key role in transforming product, sensor and operational data into meaningful insights that support innovation, energy efficiency and data-driven decision-making across Danfoss Climate Solutions.

Working closely with business teams, engineers and data platform specialists, you’ll combine strong analytical capabilities with engineering and domain knowledge to identify high-value opportunities, shape AI and analytics use cases and help build a robust, AI-ready data foundation for future intelligent solutions.

What You’ll Be Doing

• Translate complex business and engineering challenges into analytical questions, data-driven models and actionable insights
• Analyze product, sensor, device and operational data to identify patterns, trends and opportunities for performance and energy optimization
• Apply engineering and domain knowledge to shape high-value data science and AI use cases, including feature definition, hypothesis development and validation strategies
• Collaborate with data engineers and platform teams to improve data quality, accessibility and usability across analytics and data products
• Contribute to semantic models and knowledge graph capabilities that capture relationships between sensors, devices, assets and their operational context
• Communicate insights and recommendations clearly to technical and business stakeholders, helping turn analytical findings into practical business actions

What We're Looking For

• Strong foundation in thermodynamics and physics, with the ability to apply first-principles reasoning to heating and cooling systems and processes
• Experience in data science, applied analytics or similar roles within a technical, industrial or engineering environment
• Strong analytical and problem-solving skills, with proficiency in Python and SQL and the ability to translate engineering insight into data-driven models
• Good understanding of modern data and ML environments, including cloud platforms and the machine learning lifecycle
• Strong communication and collaboration skills, with the ability to work effectively across engineering, data and business teams
• Experience with HVAC, refrigeration, heating/cooling, energy systems or industrial operational data is considered a strong advantage

What You'll Get from Us

1. We promote from within and support your learning with mentoring, training, and access to global opportunities.
2. You’ll have flexibility, autonomy, and support to do your best work while maintaining a healthy work-life balance. Your well-being matters to us.
3. We strive to create an inclusive work environment where people of all backgrounds are respected, and valued for who they are.
4. You’ll receive benefits like 13th salary, annual bonus, paid vacation, pension plans, personal insurance, and more. These vary by country and contract, but they’re worth asking about—we think they’re pretty great.

Ready to Make a Difference?

If this role excites you, we’d love to hear from you! Apply now to start the conversation and learn more about where your career can go with us.

Our Commitment to Transparency

Salary ranges listed reflect only primary location and currency. For local salary ranges and specific benefits in your preferred hiring location, please ask your Talent Acquisition representative for more information.

The actual salary offer will carefully consider a wide range of factors, including your skills, qualifications, experience, and location. Any benefits listed do not promise or guarantee any particular benefit or specific action. They may depend on country or contract specifics and are subject to change at any time without prior notice.

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All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or other protected category.