What is the job about?

Are you excited about leveraging machine learning and advanced statistical methods to facilitate innovation? As a Senior Data Scientist at Grundfos, you will engage in projects that leverage artificial intelligence and machine learning to develop innovative solutions for our digital offerings, which aim at enhancing water system monitoring, improving energy efficiency in pump systems, detecting irregularities within IoT frameworks, and enabling foresight in maintenance schedules. You'll join a collaborative team of Data Scientists and Data Engineers in our AI Solutions department, contributing to the company's digital transformation agenda.

Your main responsibilities:

• Lead machine learning and advanced statistical projects to deliver actionable insights and AI/ML features for our digital products.
• Participate in both the development and deployment phases of data science processes, integrated with our Data and AI platforms.
• Propose, scope, and formulate data-driven projects that align with business objectives, maintaining key stakeholder relationships.
• Engage with stakeholders to communicate project ideas and gather feedback for AI/ML solutions, ensuring successful collaborations across different business sectors.
• Apply real-time control techniques and documented understanding of the water domain to create impactful solutions.
• Stay current with the latest trends and advancements in Data Science to enhance the quality of projects, contributing to the broader AI/ML strategy of Grundfos.

Your background:

We imagine that you have: 

• Degree in data science, statistics, computer science, or similar. A background in water engineering with documented AI skills is also highly valued.
• 4+ years of experience in similar role.
• Proficiency in Python and R, with solid software development skills.
• Experience with working in a cloud-based environment.
• Extensive experience in statistical and mathematical modeling, including time series analysis and machine learning.
• Familiarity with data management tools like SQL.
• Practical experience with MLOps and deployment technologies both on edge and cloud.
• Ability to collaborate in multidisciplinary teams and communicate effectively with stakeholders.
• Advanced English communication skills, both written and verbal.

What’s in it for you?

Whether it’s developing leadership skills or advancing your expertise even further, we’ll support you with continuous learning and development opportunities, to help discuss and steer your long-term Grundfos career path. You’ll be welcomed from day one into an inclusive, trusting environment guided by six core values.

In addition, your day-to-day benefits include:

• If you’ll be working from your home office, we’ll make sure you are well equipped with a good workstation. However, you are always welcome to our offices where you can engage, learn, and have fun with colleagues.
• On top of it, flexible working hours and up to 3 days’ additional paid leave for volunteering of your choice.
• Annual bonuses, health insurance, parental support, internal well-being consultants and programs.
• Access to the modern Grundfos Academy to pursue further both personal and professional development.
• Diverse, inclusive environment with employee-led forums offering colleagues a safe place to connect and share openly.

Do you want to learn more?

If you have questions or would like to know more about this position, please contact Recruiter Sophie Cochet at scochet@grundfos.com  

If this job sounds appealing, please send your resume by clicking “Apply”.

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We look forward to hearing from you.